Assembling GPT-like LLMs from scratch on PyTorch π₯
https://github.com/analyticalrohit/llms-from-scratch
π 10 notebooks. Step-by-step explanation.
𧩠Breaks down the architecture of LLMs into simple parts.
β Suitable for beginners.
π Completely hands-on.
#PyTorch #LLM #AI #MachineLearning #DeepLearning #Code
β¨ Join Best TG Channels https://xn--r1a.website/addlist/0f6vfFbEMdAwODBk
βοΈ Join Our WhatsApp Channel https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A
https://github.com/analyticalrohit/llms-from-scratch
π 10 notebooks. Step-by-step explanation.
𧩠Breaks down the architecture of LLMs into simple parts.
β Suitable for beginners.
π Completely hands-on.
#PyTorch #LLM #AI #MachineLearning #DeepLearning #Code
β¨ Join Best TG Channels https://xn--r1a.website/addlist/0f6vfFbEMdAwODBk
βοΈ Join Our WhatsApp Channel https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A
β€4
π° Anthropic is rolling out Claude Opus 4.8 π
The model has become significantly more honest in evaluating its own work and notices problems in its own code four times more often. πβ¨
Plus, dynamic workflows have appeared β hundreds of AI subagents can work on large projects and migrations in parallel. π€β‘
βοΈ More details here
https://www.anthropic.com/news/claude-opus-4-8
#Anthropic #ClaudeOpus48 #AI #ArtificialIntelligence #TechNews #Innovation
β¨ Join Best TG Channels https://xn--r1a.website/addlist/0f6vfFbEMdAwODBk
βοΈ Join Our WhatsApp Channel https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A
The model has become significantly more honest in evaluating its own work and notices problems in its own code four times more often. πβ¨
Plus, dynamic workflows have appeared β hundreds of AI subagents can work on large projects and migrations in parallel. π€β‘
βοΈ More details here
https://www.anthropic.com/news/claude-opus-4-8
#Anthropic #ClaudeOpus48 #AI #ArtificialIntelligence #TechNews #Innovation
β¨ Join Best TG Channels https://xn--r1a.website/addlist/0f6vfFbEMdAwODBk
βοΈ Join Our WhatsApp Channel https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A
β€3
Learning AI doesnβt need another random tutorial rabbit hole. π«π
AI-Study-Group is a public GitHub learning journal for builders trying to navigate AI resources across books, courses, videos, tools, models, datasets, papers, and notes. ππ€
It helps you make your own learning path by collecting the materials the author used while learning AI, with quick-start recommendations up front and sections you can scan by resource type. πΊοΈβ¨
Key features: π
β’ TL;DR starting path β points to one book, one LLM video, and the Hugging Face Agents Course ππ₯
β’ Books section β lists AI/ML/DL books with short notes on where each one helps π
β’ Courses and videos β collects practical lectures, tutorials, and talks from sources like MIT, NVIDIA, Hugging Face, Karpathy, and 3Blue1Brown π
β’ Tools and libraries map β groups frameworks, platforms, visualization tools, and Python libraries for builders π οΈ
β’ Broader study material β includes models, model hubs, articles, papers, datasets, and AI notes π
Free public GitHub repo. π
https://github.com/ArturoNereu/AI-Study-Group
#AI #MachineLearning #DeepLearning #GitHub #StudyGroup #TechLearning
β¨ Join Best TG Channels https://xn--r1a.website/addlist/0f6vfFbEMdAwODBk
βοΈ Join Our WhatsApp Channel https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A
AI-Study-Group is a public GitHub learning journal for builders trying to navigate AI resources across books, courses, videos, tools, models, datasets, papers, and notes. ππ€
It helps you make your own learning path by collecting the materials the author used while learning AI, with quick-start recommendations up front and sections you can scan by resource type. πΊοΈβ¨
Key features: π
β’ TL;DR starting path β points to one book, one LLM video, and the Hugging Face Agents Course ππ₯
β’ Books section β lists AI/ML/DL books with short notes on where each one helps π
β’ Courses and videos β collects practical lectures, tutorials, and talks from sources like MIT, NVIDIA, Hugging Face, Karpathy, and 3Blue1Brown π
β’ Tools and libraries map β groups frameworks, platforms, visualization tools, and Python libraries for builders π οΈ
β’ Broader study material β includes models, model hubs, articles, papers, datasets, and AI notes π
Free public GitHub repo. π
https://github.com/ArturoNereu/AI-Study-Group
#AI #MachineLearning #DeepLearning #GitHub #StudyGroup #TechLearning
β¨ Join Best TG Channels https://xn--r1a.website/addlist/0f6vfFbEMdAwODBk
βοΈ Join Our WhatsApp Channel https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A
β€3
π Create an LLM from Scratch!
I came across a great find from Vizuara β a series of 43 lectures that truly delivers on its promise: showing how to build a large language model from scratch. π§ β¨
Most people use ChatGPT.
But only a few actually understand how it works under the hood. βοΈ
This playlist step by step breaks down all the key concepts without overloading with complex explanations.
π What you will learn:
β The architecture of Transformer ποΈ
β The internal structure of GPT
β Tokenization and BPE π§©
β Attention mechanisms π
β The process of training an LLM π
β Full implementations in Python π
β Suitable for:
β’ ML engineers
β’ AI enthusiasts
β’ Developers entering the GenAI field
β’ Anyone who is tired of explaining AI as a "black box" π΅οΈ
If you really want to understand what lies at the heart of models like ChatGPT, Claude, and Gemini β this material is worth watching. π
π Link to the playlist:
https://www.youtube.com/playlist?list=PLPTV0NXA_ZSgsLAr8YCgCwhPIJNNtexWu
#LLM #AI #MachineLearning #Python #GenAI #DeepLearning
β¨ Join Best TG Channels https://xn--r1a.website/addlist/0f6vfFbEMdAwODBk
βοΈ Join Our WhatsApp Channel https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A
I came across a great find from Vizuara β a series of 43 lectures that truly delivers on its promise: showing how to build a large language model from scratch. π§ β¨
Most people use ChatGPT.
But only a few actually understand how it works under the hood. βοΈ
This playlist step by step breaks down all the key concepts without overloading with complex explanations.
π What you will learn:
β The architecture of Transformer ποΈ
β The internal structure of GPT
β Tokenization and BPE π§©
β Attention mechanisms π
β The process of training an LLM π
β Full implementations in Python π
β Suitable for:
β’ ML engineers
β’ AI enthusiasts
β’ Developers entering the GenAI field
β’ Anyone who is tired of explaining AI as a "black box" π΅οΈ
If you really want to understand what lies at the heart of models like ChatGPT, Claude, and Gemini β this material is worth watching. π
π Link to the playlist:
https://www.youtube.com/playlist?list=PLPTV0NXA_ZSgsLAr8YCgCwhPIJNNtexWu
#LLM #AI #MachineLearning #Python #GenAI #DeepLearning
β¨ Join Best TG Channels https://xn--r1a.website/addlist/0f6vfFbEMdAwODBk
βοΈ Join Our WhatsApp Channel https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A
β€5
π Found a huge database on System Design for GenAI and LLM! π€π
500+ real reviews of GenAI, LLM, and ML systems from OpenAI, Anthropic, Google, Microsoft, Netflix, and dozens of other companies. ππ’
A real find for those who are building AI products or want to understand how market leaders do it. ππ‘
βοΈ Link to GitHub
https://github.com/themanojdesai/genai-llm-ml-case-studies
#SystemDesign #GenAI #LLM #MachineLearning #AI #Tech
β¨ Join Best TG Channels https://xn--r1a.website/addlist/0f6vfFbEMdAwODBk
βοΈ Join Our WhatsApp Channel https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A
500+ real reviews of GenAI, LLM, and ML systems from OpenAI, Anthropic, Google, Microsoft, Netflix, and dozens of other companies. ππ’
A real find for those who are building AI products or want to understand how market leaders do it. ππ‘
βοΈ Link to GitHub
https://github.com/themanojdesai/genai-llm-ml-case-studies
#SystemDesign #GenAI #LLM #MachineLearning #AI #Tech
β¨ Join Best TG Channels https://xn--r1a.website/addlist/0f6vfFbEMdAwODBk
βοΈ Join Our WhatsApp Channel https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A
β€5
Transformers & LLMs Cheatsheet.pdf
1.4 MB
The only LLM cheat sheet you'll ever need π
Covers the main concepts, architectures, and practical applications.
### Basics
- Tokens (tokenization, BPE)
- Embeddings (cosine similarity)
- Attention mechanism (Attention formula, Multi-Head Attention)
### Transformer architecture and its variants
- BERT (models with only an encoder)
- GPT (models with only a decoder)
- T5 (models with an encoder and a decoder)
### Large language models (LLMs)
- Prompting (context length, Chain-of-Thought)
- Pre-training (SFT, PEFT/LoRA)
- Preference tuning (Reward Model, Reinforcement Learning)
- Optimizations (Mixture of Experts, Distillation, Quantization)
### Applications
- LLM-as-a-Judge (LaaJ)
- RAG (Retrieval-Augmented Generation)
- Agents (ReAct)
- Reasoning models (Scaling)
β¨ Join Best TG Channels https://xn--r1a.website/addlist/0f6vfFbEMdAwODBk
βοΈ Join Our WhatsApp Channel https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A
#LLM #AI #MachineLearning #DeepLearning #PromptEngineering #Tech
Covers the main concepts, architectures, and practical applications.
### Basics
- Tokens (tokenization, BPE)
- Embeddings (cosine similarity)
- Attention mechanism (Attention formula, Multi-Head Attention)
### Transformer architecture and its variants
- BERT (models with only an encoder)
- GPT (models with only a decoder)
- T5 (models with an encoder and a decoder)
### Large language models (LLMs)
- Prompting (context length, Chain-of-Thought)
- Pre-training (SFT, PEFT/LoRA)
- Preference tuning (Reward Model, Reinforcement Learning)
- Optimizations (Mixture of Experts, Distillation, Quantization)
### Applications
- LLM-as-a-Judge (LaaJ)
- RAG (Retrieval-Augmented Generation)
- Agents (ReAct)
- Reasoning models (Scaling)
β¨ Join Best TG Channels https://xn--r1a.website/addlist/0f6vfFbEMdAwODBk
βοΈ Join Our WhatsApp Channel https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A
#LLM #AI #MachineLearning #DeepLearning #PromptEngineering #Tech
β€6
The ultimate guide to fine tuning.pdf
15.2 MB
π The Big Book on Fine-Tuning LLMs
A free 115-page book dedicated to the retraining of large language models. π
It's suitable for those who want to understand how to prepare datasets, configure training, and improve the quality of LLMs for their tasks. π
#LLM #FineTuning #AI #MachineLearning #DataScience #Tech
β¨ Join Best TG Channels https://xn--r1a.website/addlist/0f6vfFbEMdAwODBk
βοΈ Join Our WhatsApp Channel https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A
π Level up your AI & Data Science skills with HelloEncyclo β a growing all-in-one platform featuring hands-on courses in LLMs, Deep Learning, MLOps, Data Engineering, and more.
β 13 courses live + 40+ coming soon
π― One access, lifetime updates
π Use code: PRESALE-BOOK-WAVE-2GFG
π https://helloencyclo.com/?ref=HUSSEINSHEIKHO
A free 115-page book dedicated to the retraining of large language models. π
It's suitable for those who want to understand how to prepare datasets, configure training, and improve the quality of LLMs for their tasks. π
#LLM #FineTuning #AI #MachineLearning #DataScience #Tech
β¨ Join Best TG Channels https://xn--r1a.website/addlist/0f6vfFbEMdAwODBk
βοΈ Join Our WhatsApp Channel https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A
π Level up your AI & Data Science skills with HelloEncyclo β a growing all-in-one platform featuring hands-on courses in LLMs, Deep Learning, MLOps, Data Engineering, and more.
β 13 courses live + 40+ coming soon
π― One access, lifetime updates
π Use code: PRESALE-BOOK-WAVE-2GFG
π https://helloencyclo.com/?ref=HUSSEINSHEIKHO
β€2
π LLM Scraper β parsing websites through neural networks
The tool allows you to convert any web pages into structured data using LLM.
Useful for data collection, site monitoring, and preparing datasets without writing complex parsers.
βοΈ Link to GitHub: https://github.com/mishushakov/llm-scraper
β¨ Join Best TG Channels https://xn--r1a.website/addlist/0f6vfFbEMdAwODBk
βοΈ Join Our WhatsApp Channel https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A
π Level up your AI & Data Science skills with HelloEncyclo β a growing all-in-one platform featuring hands-on courses in LLMs, Deep Learning, MLOps, Data Engineering, and more.
β 13 courses live + 40+ coming soon
π― One access, lifetime updates
π Use code: PRESALE-BOOK-WAVE-2GFG
π https://helloencyclo.com/?ref=HUSSEINSHEIKHO
#LLM #Scraper #WebScraping #DataCollection #AI #Automation
The tool allows you to convert any web pages into structured data using LLM.
Useful for data collection, site monitoring, and preparing datasets without writing complex parsers.
βοΈ Link to GitHub: https://github.com/mishushakov/llm-scraper
β¨ Join Best TG Channels https://xn--r1a.website/addlist/0f6vfFbEMdAwODBk
βοΈ Join Our WhatsApp Channel https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A
π Level up your AI & Data Science skills with HelloEncyclo β a growing all-in-one platform featuring hands-on courses in LLMs, Deep Learning, MLOps, Data Engineering, and more.
β 13 courses live + 40+ coming soon
π― One access, lifetime updates
π Use code: PRESALE-BOOK-WAVE-2GFG
π https://helloencyclo.com/?ref=HUSSEINSHEIKHO
#LLM #Scraper #WebScraping #DataCollection #AI #Automation
β€4
π SPOTO Mid-Year Sale β Grab Your IT Certification Success Kit!
π₯ Whether you're prepping for #Python, #AI, #Cisco, #PMI, #Fortinet, #AWS, #Azure, #Excel, #Comptia, #ITIL, #Cloud or any other hot certification β SPOTO has your back with real exam dumps and hands-on training!
β Free Resources:
γ»Free Python, Excel, Cyber Security, Cisco, SQL, ITIL, PMP, AWS courses: https://bit.ly/4alTSfk
γ»IT Certs E-book: https://bit.ly/49ub0zq
γ»IT Exams Skill Test: https://bit.ly/4dVPapB
γ»Free AI material and support tools: https://bit.ly/4elzcpl
γ»Free Cloud Study Guide: https://bit.ly/4u7sdG0
π Join SPOTO Mid-Year Lucky Draw:
π± iPhone 17 π Free Order
π Amazon Gift $100 πPMP/ AWS/ CCNA Course
π Enter the Draw Now β https://bit.ly/4uN3lVt
π Join Our IT Learning Community for free resources & support:
https://chat.whatsapp.com/FmbIbbqm2QhKglVpVTSH4d
π¬ Want exam help? Chat with an admin now:
https://wa.link/knicza
β° Mid-Year Deal Ends Soon β Don't Miss Out!
π₯ Whether you're prepping for #Python, #AI, #Cisco, #PMI, #Fortinet, #AWS, #Azure, #Excel, #Comptia, #ITIL, #Cloud or any other hot certification β SPOTO has your back with real exam dumps and hands-on training!
β Free Resources:
γ»Free Python, Excel, Cyber Security, Cisco, SQL, ITIL, PMP, AWS courses: https://bit.ly/4alTSfk
γ»IT Certs E-book: https://bit.ly/49ub0zq
γ»IT Exams Skill Test: https://bit.ly/4dVPapB
γ»Free AI material and support tools: https://bit.ly/4elzcpl
γ»Free Cloud Study Guide: https://bit.ly/4u7sdG0
π Join SPOTO Mid-Year Lucky Draw:
π± iPhone 17 π Free Order
π Amazon Gift $100 πPMP/ AWS/ CCNA Course
π Enter the Draw Now β https://bit.ly/4uN3lVt
π Join Our IT Learning Community for free resources & support:
https://chat.whatsapp.com/FmbIbbqm2QhKglVpVTSH4d
π¬ Want exam help? Chat with an admin now:
https://wa.link/knicza
β° Mid-Year Deal Ends Soon β Don't Miss Out!
Forwarded from Machine Learning with Python
A new collection of free courses has been added:
π https://github.com/dair-ai/ML-Course-Notes
Those studying ML through dozens of random tabs and unclosed playlists may find this repository useful for organizing their learning. π
Machine Learning Course Notes is an open collection of notes on machine learning, NLP, and AI, compiled around full-fledged courses, not just individual videos. π§
What's inside:
β’ Courses from the Machine Learning Specialization, MIT 6.S191, CMU Neural Nets for NLP, CS224N, CS25, and others
β’ A table with lectures, descriptions, videos, notes, and authors
β’ Links to the original lectures and accompanying notes
β’ WIP markers for incomplete materials
β’ Instructions for contributors on adding and improving notes
The idea was appreciated. π
Instead of another collection of hundreds of links, a course map has been created where one can systematically go through the material without getting lost after a week of studying. πΊοΈ
#MachineLearning #AI #DataScience #TechCommunity #LearningResources #OpenSource
β¨ Join Best TG Channels https://xn--r1a.website/addlist/0f6vfFbEMdAwODBk
βοΈ Join Our WhatsApp Channel https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A
π Level up your AI & Data Science skills with HelloEncyclo β a growing all-in-one platform featuring hands-on courses in LLMs, Deep Learning, MLOps, Data Engineering, and more.
β 13 courses live + 40+ coming soon
π― One access, lifetime updates
π Use code: PRESALE-BOOK-WAVE-2GFG
π https://helloencyclo.com/?ref=HUSSEINSHEIKHO
π https://github.com/dair-ai/ML-Course-Notes
Those studying ML through dozens of random tabs and unclosed playlists may find this repository useful for organizing their learning. π
Machine Learning Course Notes is an open collection of notes on machine learning, NLP, and AI, compiled around full-fledged courses, not just individual videos. π§
What's inside:
β’ Courses from the Machine Learning Specialization, MIT 6.S191, CMU Neural Nets for NLP, CS224N, CS25, and others
β’ A table with lectures, descriptions, videos, notes, and authors
β’ Links to the original lectures and accompanying notes
β’ WIP markers for incomplete materials
β’ Instructions for contributors on adding and improving notes
The idea was appreciated. π
Instead of another collection of hundreds of links, a course map has been created where one can systematically go through the material without getting lost after a week of studying. πΊοΈ
#MachineLearning #AI #DataScience #TechCommunity #LearningResources #OpenSource
β¨ Join Best TG Channels https://xn--r1a.website/addlist/0f6vfFbEMdAwODBk
βοΈ Join Our WhatsApp Channel https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A
π Level up your AI & Data Science skills with HelloEncyclo β a growing all-in-one platform featuring hands-on courses in LLMs, Deep Learning, MLOps, Data Engineering, and more.
β 13 courses live + 40+ coming soon
π― One access, lifetime updates
π Use code: PRESALE-BOOK-WAVE-2GFG
π https://helloencyclo.com/?ref=HUSSEINSHEIKHO
GitHub
GitHub - dair-ai/ML-Course-Notes: π Sharing machine learning course / lecture notes.
π Sharing machine learning course / lecture notes. - dair-ai/ML-Course-Notes
β€1
Stop studying LLM from random articles and videos that only explain individual pieces of the puzzle.
π LLM from Scratch β this is a practical course on PyTorch for those who want to understand the entire path of modern LLMs: from the first Transformer block to RLHF.
Instead of endless theory, here we gather a complete model training chain:
πΉ Pretraining β Finetuning β Alignment in one course
πΉ Transformer from scratch: positional embeddings, self-attention, multi-head attention, MLP, residual connections, LayerNorm, and full Transformer blocks
πΉ Own training loop without Trainer magic: tokenization, batches, cross-entropy, validation loss, text generation
πΉ Modern architecture improvements: RMSNorm, RoPE, SwiGLU, KV Cache, sliding-window attention, and streaming cache
πΉ Full section on alignment: SFT, reward models, PPO-style RLHF, and GRPO with an analysis of how it looks in the training loop in practice
https://github.com/vivekkalyanarangan30/llm_from_scratch
#LLM #PyTorch #MachineLearning #DeepLearning #AI #Transformer
β¨ Join Best TG Channels https://xn--r1a.website/addlist/0f6vfFbEMdAwODBk
βοΈ Join Our WhatsApp Channel https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A
π Level up your AI & Data Science skills with HelloEncyclo β a growing all-in-one platform featuring hands-on courses in LLMs, Deep Learning, MLOps, Data Engineering, and more.
β 13 courses live + 40+ coming soon
π― One access, lifetime updates
π Use code: PRESALE-BOOK-WAVE-2GFG
π https://helloencyclo.com/?ref=HUSSEINSHEIKHO
π LLM from Scratch β this is a practical course on PyTorch for those who want to understand the entire path of modern LLMs: from the first Transformer block to RLHF.
Instead of endless theory, here we gather a complete model training chain:
πΉ Pretraining β Finetuning β Alignment in one course
πΉ Transformer from scratch: positional embeddings, self-attention, multi-head attention, MLP, residual connections, LayerNorm, and full Transformer blocks
πΉ Own training loop without Trainer magic: tokenization, batches, cross-entropy, validation loss, text generation
πΉ Modern architecture improvements: RMSNorm, RoPE, SwiGLU, KV Cache, sliding-window attention, and streaming cache
πΉ Full section on alignment: SFT, reward models, PPO-style RLHF, and GRPO with an analysis of how it looks in the training loop in practice
https://github.com/vivekkalyanarangan30/llm_from_scratch
#LLM #PyTorch #MachineLearning #DeepLearning #AI #Transformer
β¨ Join Best TG Channels https://xn--r1a.website/addlist/0f6vfFbEMdAwODBk
βοΈ Join Our WhatsApp Channel https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A
π Level up your AI & Data Science skills with HelloEncyclo β a growing all-in-one platform featuring hands-on courses in LLMs, Deep Learning, MLOps, Data Engineering, and more.
β 13 courses live + 40+ coming soon
π― One access, lifetime updates
π Use code: PRESALE-BOOK-WAVE-2GFG
π https://helloencyclo.com/?ref=HUSSEINSHEIKHO
β€2
Forwarded from Machine Learning with Python
Kaggle and Google are launching a free 5-day intensive course on VibeCoding. π
Over five days, they will explain how agent-based coding works, how to configure skills, memory, and context, and how to make AI assistants not only useful but also safe. π€ The program includes daily tasks, live streams, discussions, and practical projects. π»
After completion, participants will receive an official certificate that can be added to their portfolio. π
Start date: June 15th. π
https://www.kaggle.com/competitions/5-day-ai-agents-intensive-vibecoding-course-with-google π
If you've long wanted to properly understand agent-based coding, this is a great opportunity to dive in. π
#Kaggle #Google #VibeCoding #AIAgents #Coding #AI #TechNews #FreeCourse
β¨ Join Best TG Channels https://xn--r1a.website/addlist/0f6vfFbEMdAwODBk
βοΈ Join Our WhatsApp Channel https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A
π Level up your AI & Data Science skills with HelloEncyclo β a growing all-in-one platform featuring hands-on courses in LLMs, Deep Learning, MLOps, Data Engineering, and more.
β 13 courses live + 40+ coming soon
π― One access, lifetime updates
π Use code: PRESALE-BOOK-WAVE-2GFG
π https://helloencyclo.com/?ref=HUSSEINSHEIKHO
Over five days, they will explain how agent-based coding works, how to configure skills, memory, and context, and how to make AI assistants not only useful but also safe. π€ The program includes daily tasks, live streams, discussions, and practical projects. π»
After completion, participants will receive an official certificate that can be added to their portfolio. π
Start date: June 15th. π
https://www.kaggle.com/competitions/5-day-ai-agents-intensive-vibecoding-course-with-google π
If you've long wanted to properly understand agent-based coding, this is a great opportunity to dive in. π
#Kaggle #Google #VibeCoding #AIAgents #Coding #AI #TechNews #FreeCourse
β¨ Join Best TG Channels https://xn--r1a.website/addlist/0f6vfFbEMdAwODBk
βοΈ Join Our WhatsApp Channel https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A
π Level up your AI & Data Science skills with HelloEncyclo β a growing all-in-one platform featuring hands-on courses in LLMs, Deep Learning, MLOps, Data Engineering, and more.
β 13 courses live + 40+ coming soon
π― One access, lifetime updates
π Use code: PRESALE-BOOK-WAVE-2GFG
π https://helloencyclo.com/?ref=HUSSEINSHEIKHO
Forwarded from Machine Learning with Python
π SPOTO Mid-Year Sale β Grab Your IT Certification Success Kit!
π₯ Whether you're prepping for #Python, #AI, #Cisco, #PMI, #Fortinet, #AWS, #Azure, #Excel, #Comptia, #ITIL, #Cloud or any other hot certification β SPOTO has your back with real exam dumps and hands-on training!
β Free Resources:
γ»Free Python, Excel, Cyber Security, Cisco, SQL, ITIL, PMP, AWS courses: https://bit.ly/4alTSfk
γ»IT Certs E-book: https://bit.ly/49ub0zq
γ»IT Exams Skill Test: https://bit.ly/4dVPapB
γ»Free AI material and support tools: https://bit.ly/4elzcpl
γ»Free Cloud Study Guide: https://bit.ly/4u7sdG0
π Join SPOTO Mid-Year Lucky Draw:
π± iPhone 17 π Free Order
π Amazon Gift $100 πPMP/ AWS/ CCNA Course
π Enter the Draw Now β https://bit.ly/4uN3lVt
π Join Our IT Learning Community for free resources & support:
https://chat.whatsapp.com/FQOG04r9xSiIa2ElhaNUJU
π¬ Want exam help? Chat with an admin now:
https://wa.link/knicza
β° Mid-Year Deal Ends Soon β Don't Miss Out!
π₯ Whether you're prepping for #Python, #AI, #Cisco, #PMI, #Fortinet, #AWS, #Azure, #Excel, #Comptia, #ITIL, #Cloud or any other hot certification β SPOTO has your back with real exam dumps and hands-on training!
β Free Resources:
γ»Free Python, Excel, Cyber Security, Cisco, SQL, ITIL, PMP, AWS courses: https://bit.ly/4alTSfk
γ»IT Certs E-book: https://bit.ly/49ub0zq
γ»IT Exams Skill Test: https://bit.ly/4dVPapB
γ»Free AI material and support tools: https://bit.ly/4elzcpl
γ»Free Cloud Study Guide: https://bit.ly/4u7sdG0
π Join SPOTO Mid-Year Lucky Draw:
π± iPhone 17 π Free Order
π Amazon Gift $100 πPMP/ AWS/ CCNA Course
π Enter the Draw Now β https://bit.ly/4uN3lVt
π Join Our IT Learning Community for free resources & support:
https://chat.whatsapp.com/FQOG04r9xSiIa2ElhaNUJU
π¬ Want exam help? Chat with an admin now:
https://wa.link/knicza
β° Mid-Year Deal Ends Soon β Don't Miss Out!
Google has published a free guide on scaling AI models and working with GPUs. π
π How to Scale Your Model
https://jax-ml.github.io/scaling-book/
π How to Think About GPUs
https://jax-ml.github.io/scaling-book/gpus/
The materials discuss the principles of model scaling, the structure of GPUs, computational limitations, memory bandwidth, parallelism, and other topics that are useful when training and running modern AI models. π‘
It's completely free and available online. π
#AI #MachineLearning #GPU #Scaling #DeepLearning #Tech
β¨ Join Best TG Channels https://xn--r1a.website/addlist/0f6vfFbEMdAwODBk
βοΈ Join Our WhatsApp Channel https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A
π Level up your AI & Data Science skills with HelloEncyclo β a growing all-in-one platform featuring hands-on courses in LLMs, Deep Learning, MLOps, Data Engineering, and more.
β 13 courses live + 40+ coming soon
π― One access, lifetime updates
π Use code: PRESALE-BOOK-WAVE-2GFG
π https://helloencyclo.com/?ref=HUSSEINSHEIKHO
π How to Scale Your Model
https://jax-ml.github.io/scaling-book/
π How to Think About GPUs
https://jax-ml.github.io/scaling-book/gpus/
The materials discuss the principles of model scaling, the structure of GPUs, computational limitations, memory bandwidth, parallelism, and other topics that are useful when training and running modern AI models. π‘
It's completely free and available online. π
#AI #MachineLearning #GPU #Scaling #DeepLearning #Tech
β¨ Join Best TG Channels https://xn--r1a.website/addlist/0f6vfFbEMdAwODBk
βοΈ Join Our WhatsApp Channel https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A
π Level up your AI & Data Science skills with HelloEncyclo β a growing all-in-one platform featuring hands-on courses in LLMs, Deep Learning, MLOps, Data Engineering, and more.
β 13 courses live + 40+ coming soon
π― One access, lifetime updates
π Use code: PRESALE-BOOK-WAVE-2GFG
π https://helloencyclo.com/?ref=HUSSEINSHEIKHO
How To Scale Your Model
Training LLMs often feels like alchemy, but understanding and optimizing the performance of your models doesn't have to. This book aims to demystify the science of scaling language models: how TPUs (and GPUs) work and how they communicate with each otherβ¦
β€1
Forwarded from Machine Learning with Python
10 GitHub repositories that are worth checking out for an AI engineer π€
1. Hands-On AI Engineering π οΈ
A collection of AI applications and agent systems with practical use cases of LLM.
π https://github.com/Sumanth077/Hands-On-AI-Engineering
2. Hands-On Large Language Models π
Full code from the book Hands-On Large Language Models: from basics to fine-tuning.
π https://github.com/HandsOnLLM/Hands-On-Large-Language-Models
3. AI Agents for Beginners π
A free course from Microsoft with 11 lessons on creating AI agents.
π https://github.com/microsoft/ai-agents-for-beginners
4. GenAI Agents π€
A large collection of tutorials and implementations of agent systems.
π https://github.com/NirDiamant/GenAI_Agents
5. Made With ML π
About the development, deployment, and support of production-ready ML systems.
π https://github.com/GokuMohandas/Made-With-ML
6. Learn Harness Engineering βοΈ
A practical course on Harness Engineering for AI agents.
π https://github.com/walkinglabs/learn-harness-engineering
7. AutoResearch π¬
Autonomous cycles of ML experiments from Andrej Karpathy.
π https://github.com/karpathy/autoresearch
8. Designing Machine Learning Systems π
Notes and materials from Chip Huyen's book.
π https://github.com/chiphuyen/dmls-book
9. Awesome LLM Inference β‘
A collection of materials on LLM inference: Flash Attention, KV Cache, quantization, and more.
π https://github.com/xlite-dev/Awesome-LLM-Inference
10. LLM Course πΊοΈ
A practical course on LLM with a roadmap and Colab notebooks.
π https://github.com/mlabonne/llm-course
#AI #MachineLearning #LLM #DataScience #Tech #GitHub
β¨ Join Best TG Channels https://xn--r1a.website/addlist/0f6vfFbEMdAwODBk
βοΈ Join Our WhatsApp Channel https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A
π Level up your AI & Data Science skills with HelloEncyclo β a growing all-in-one platform featuring hands-on courses in LLMs, Deep Learning, MLOps, Data Engineering, and more.
β 13 courses live + 40+ coming soon
π― One access, lifetime updates
π Use code: PRESALE-BOOK-WAVE-2GFG
π https://helloencyclo.com/?ref=HUSSEINSHEIKHO
1. Hands-On AI Engineering π οΈ
A collection of AI applications and agent systems with practical use cases of LLM.
π https://github.com/Sumanth077/Hands-On-AI-Engineering
2. Hands-On Large Language Models π
Full code from the book Hands-On Large Language Models: from basics to fine-tuning.
π https://github.com/HandsOnLLM/Hands-On-Large-Language-Models
3. AI Agents for Beginners π
A free course from Microsoft with 11 lessons on creating AI agents.
π https://github.com/microsoft/ai-agents-for-beginners
4. GenAI Agents π€
A large collection of tutorials and implementations of agent systems.
π https://github.com/NirDiamant/GenAI_Agents
5. Made With ML π
About the development, deployment, and support of production-ready ML systems.
π https://github.com/GokuMohandas/Made-With-ML
6. Learn Harness Engineering βοΈ
A practical course on Harness Engineering for AI agents.
π https://github.com/walkinglabs/learn-harness-engineering
7. AutoResearch π¬
Autonomous cycles of ML experiments from Andrej Karpathy.
π https://github.com/karpathy/autoresearch
8. Designing Machine Learning Systems π
Notes and materials from Chip Huyen's book.
π https://github.com/chiphuyen/dmls-book
9. Awesome LLM Inference β‘
A collection of materials on LLM inference: Flash Attention, KV Cache, quantization, and more.
π https://github.com/xlite-dev/Awesome-LLM-Inference
10. LLM Course πΊοΈ
A practical course on LLM with a roadmap and Colab notebooks.
π https://github.com/mlabonne/llm-course
#AI #MachineLearning #LLM #DataScience #Tech #GitHub
β¨ Join Best TG Channels https://xn--r1a.website/addlist/0f6vfFbEMdAwODBk
βοΈ Join Our WhatsApp Channel https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A
π Level up your AI & Data Science skills with HelloEncyclo β a growing all-in-one platform featuring hands-on courses in LLMs, Deep Learning, MLOps, Data Engineering, and more.
β 13 courses live + 40+ coming soon
π― One access, lifetime updates
π Use code: PRESALE-BOOK-WAVE-2GFG
π https://helloencyclo.com/?ref=HUSSEINSHEIKHO
Forwarded from Machine Learning with Python
Learn AI for free directly from top companies. π
1 - Anthropic:
anthropic.skilljar.com
2 - Google:
grow.google/ai
3 - Meta:
ai.meta.com/resources/
4 - NVIDIA:
developer.nvidia.com/cuda
5 - Microsoft:
learn.microsoft.com/en-us/training/
6 - OpenAI:
academy.openai.com
7 - IBM:
skillsbuild.org
8 - AWS:
skillbuilder.aws
9 - DeepLearning.AI:
deeplearning.ai
10 - Hugging Face:
huggingface.co/learn
π¬ Comment "Learning" if you find this helpful.
π Repost so others can take help.
π Must bookmark for future reference.
#AI #MachineLearning #Tech #FreeLearning #DataScience #AIForAll
https://xn--r1a.website/CodeProgrammer
1 - Anthropic:
anthropic.skilljar.com
2 - Google:
grow.google/ai
3 - Meta:
ai.meta.com/resources/
4 - NVIDIA:
developer.nvidia.com/cuda
5 - Microsoft:
learn.microsoft.com/en-us/training/
6 - OpenAI:
academy.openai.com
7 - IBM:
skillsbuild.org
8 - AWS:
skillbuilder.aws
9 - DeepLearning.AI:
deeplearning.ai
10 - Hugging Face:
huggingface.co/learn
π¬ Comment "Learning" if you find this helpful.
π Repost so others can take help.
π Must bookmark for future reference.
#AI #MachineLearning #Tech #FreeLearning #DataScience #AIForAll
https://xn--r1a.website/CodeProgrammer
Grow with Google US
AI Training to Grow Your Career | Google
Learn all about AI & how to supercharge your work or business. We offer AI courses and tools that will help you build essential AI skills.
β€4
This media is not supported in your browser
VIEW IN TELEGRAM
π Building our own GPT-like model in PyTorch
We've found an excellent repository for those who want to understand how modern LLMs are built under the hood.
Inside β 10 Jupyter notebooks with step-by-step explanations and implementations of key components of language models.
GitHub: https://github.com/analyticalrohit/llms-from-scratch
#PyTorch #LLM #MachineLearning #AI #DeepLearning #DataScience
β¨ Join Best TG Channels https://xn--r1a.website/addlist/0f6vfFbEMdAwODBk
βοΈ Join Our WhatsApp Channel https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A
π Level up your AI & Data Science skills with HelloEncyclo β a growing all-in-one platform featuring hands-on courses in LLMs, Deep Learning, MLOps, Data Engineering, and more.
β 13 courses live + 40+ coming soon
π― One access, lifetime updates
π Use code: PRESALE-BOOK-WAVE-2GFG
π https://helloencyclo.com/?ref=HUSSEINSHEIKHO
We've found an excellent repository for those who want to understand how modern LLMs are built under the hood.
Inside β 10 Jupyter notebooks with step-by-step explanations and implementations of key components of language models.
GitHub: https://github.com/analyticalrohit/llms-from-scratch
#PyTorch #LLM #MachineLearning #AI #DeepLearning #DataScience
β¨ Join Best TG Channels https://xn--r1a.website/addlist/0f6vfFbEMdAwODBk
βοΈ Join Our WhatsApp Channel https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A
π Level up your AI & Data Science skills with HelloEncyclo β a growing all-in-one platform featuring hands-on courses in LLMs, Deep Learning, MLOps, Data Engineering, and more.
β 13 courses live + 40+ coming soon
π― One access, lifetime updates
π Use code: PRESALE-BOOK-WAVE-2GFG
π https://helloencyclo.com/?ref=HUSSEINSHEIKHO
β€3
Curates LLM tools and research for scientific discovery π§¬π¬
Repo: https://github.com/HKUST-KnowComp/Awesome-LLM-Scientific-Discovery ππ
#LLM #ScientificDiscovery #ResearchTools #AI #MachineLearning #DataScience
β¨ Join Best TG Channels https://xn--r1a.website/addlist/0f6vfFbEMdAwODBk
βοΈ Join Our WhatsApp Channel https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A
π Level up your AI & Data Science skills with HelloEncyclo β a growing all-in-one platform featuring hands-on courses in LLMs, Deep Learning, MLOps, Data Engineering, and more.
β 13 courses live + 40+ coming soon
π― One access, lifetime updates
π Use code: PRESALE-BOOK-WAVE-2GFG
π https://helloencyclo.com/?ref=HUSSEINSHEIKHO
Repo: https://github.com/HKUST-KnowComp/Awesome-LLM-Scientific-Discovery ππ
#LLM #ScientificDiscovery #ResearchTools #AI #MachineLearning #DataScience
β¨ Join Best TG Channels https://xn--r1a.website/addlist/0f6vfFbEMdAwODBk
βοΈ Join Our WhatsApp Channel https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A
π Level up your AI & Data Science skills with HelloEncyclo β a growing all-in-one platform featuring hands-on courses in LLMs, Deep Learning, MLOps, Data Engineering, and more.
β 13 courses live + 40+ coming soon
π― One access, lifetime updates
π Use code: PRESALE-BOOK-WAVE-2GFG
π https://helloencyclo.com/?ref=HUSSEINSHEIKHO
β€1
π₯ Free IT Cert Resources β Grab Them While They're Hot!
πSPOTO just dropped a bunch of 100% free study kits for 2026 β covering #Cisco, #AWS, #PMP, #AI, #Python, #Excel, and #Cybersecurity
π₯No signup traps, no hidden fees β just click and download.
π FREE Cert EβBook β https://bit.ly/4wkiLAT
πͺ Online FREE Course β https://bit.ly/4vHFJSz
βοΈ FREE AI Materials β https://bit.ly/4wdu7X6
π Cloud Study Guide β https://bit.ly/4y0HyeW
π§ Free Mock Exam β https://bit.ly/4ff8jos
Tag a friend who's also on this journey β Get certified together! πͺ
π Join the community: https://chat.whatsapp.com/FmbIbbqm2QhKglVpVTSH4d/
π² Need personalized help? β https://wa.link/6k7042
πSPOTO just dropped a bunch of 100% free study kits for 2026 β covering #Cisco, #AWS, #PMP, #AI, #Python, #Excel, and #Cybersecurity
π₯No signup traps, no hidden fees β just click and download.
π FREE Cert EβBook β https://bit.ly/4wkiLAT
πͺ Online FREE Course β https://bit.ly/4vHFJSz
βοΈ FREE AI Materials β https://bit.ly/4wdu7X6
π Cloud Study Guide β https://bit.ly/4y0HyeW
π§ Free Mock Exam β https://bit.ly/4ff8jos
Tag a friend who's also on this journey β Get certified together! πͺ
π Join the community: https://chat.whatsapp.com/FmbIbbqm2QhKglVpVTSH4d/
π² Need personalized help? β https://wa.link/6k7042
β€1
π₯ Free IT Cert Resources β Grab Them While They're Hot!
πSPOTO just dropped a bunch of 100% free study kits for 2026 β covering #Cisco, #AWS, #PMP, #AI, #Python, #Excel, and #Cybersecurity
π₯No signup traps, no hidden fees β just click and download.
π FREE Cert EβBook β https://bit.ly/4wkiLAT
πͺ Online FREE Course β https://bit.ly/4vHFJSz
βοΈ FREE AI Materials β https://bit.ly/4wdu7X6
π Cloud Study Guide β https://bit.ly/4y0HyeW
π§ Free Mock Exam β https://bit.ly/4ff8jos
Tag a friend who's also on this journey β Get certified together! πͺ
π Join the community: https://chat.whatsapp.com/FmbIbbqm2QhKglVpVTSH4d/
π² Need personalized help? β https://wa.link/6k7042
πSPOTO just dropped a bunch of 100% free study kits for 2026 β covering #Cisco, #AWS, #PMP, #AI, #Python, #Excel, and #Cybersecurity
π₯No signup traps, no hidden fees β just click and download.
π FREE Cert EβBook β https://bit.ly/4wkiLAT
πͺ Online FREE Course β https://bit.ly/4vHFJSz
βοΈ FREE AI Materials β https://bit.ly/4wdu7X6
π Cloud Study Guide β https://bit.ly/4y0HyeW
π§ Free Mock Exam β https://bit.ly/4ff8jos
Tag a friend who's also on this journey β Get certified together! πͺ
π Join the community: https://chat.whatsapp.com/FmbIbbqm2QhKglVpVTSH4d/
π² Need personalized help? β https://wa.link/6k7042
β€3