HandsOnLLM/Hands-On-Large-Language-Models
Official code repo for the O'Reilly Book - "Hands-On Large Language Models"
Language:Jupyter Notebook
Total stars: 9363
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#artificialintelligence, #book, #largelanguagemodels, #llm, #llms, #oreilly, #oreillybooks
Official code repo for the O'Reilly Book - "Hands-On Large Language Models"
Language:Jupyter Notebook
Total stars: 9363
Stars trend:
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#artificialintelligence, #book, #largelanguagemodels, #llm, #llms, #oreilly, #oreillybooks
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deepsense-ai/ragbits
Building blocks for rapid development of GenAI applications
Language:Python
Total stars: 275
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#python
#agents, #documentsearch, #evaluation, #guardrails, #llms, #optimization, #prompts, #rag, #vectorstores
Building blocks for rapid development of GenAI applications
Language:Python
Total stars: 275
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Shubhamsaboo/awesome-llm-apps
Collection of awesome LLM apps with AI Agents and RAG using OpenAI, Anthropic, Gemini and opensource models.
Language:Python
Total stars: 33419
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#python
#llms, #python, #rag
Collection of awesome LLM apps with AI Agents and RAG using OpenAI, Anthropic, Gemini and opensource models.
Language:Python
Total stars: 33419
Stars trend:
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NirDiamant/RAG_Techniques
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative models to provide accurate and contextually rich responses.
Language:Jupyter Notebook
Total stars: 16674
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#ai, #langchain, #llamaindex, #llm, #llms, #opeani, #python, #rag, #tutorials
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative models to provide accurate and contextually rich responses.
Language:Jupyter Notebook
Total stars: 16674
Stars trend:
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tensorzero/tensorzero
TensorZero creates a feedback loop for optimizing LLM applications — turning production data into smarter, faster, and cheaper models.
Language:Rust
Total stars: 4662
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#ai, #aiengineering, #anthropic, #artificialintelligence, #deeplearning, #genai, #generativeai, #gpt, #largelanguagemodels, #llama, #llm, #llmops, #llms, #machinelearning, #ml, #mlengineering, #mlops, #openai, #python, #rust
TensorZero creates a feedback loop for optimizing LLM applications — turning production data into smarter, faster, and cheaper models.
Language:Rust
Total stars: 4662
Stars trend:
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#ai, #aiengineering, #anthropic, #artificialintelligence, #deeplearning, #genai, #generativeai, #gpt, #largelanguagemodels, #llama, #llm, #llmops, #llms, #machinelearning, #ml, #mlengineering, #mlops, #openai, #python, #rust
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opea-project/GenAIExamples
Generative AI Examples is a collection of GenAI examples such as ChatQnA, Copilot, which illustrate the pipeline capabilities of the Open Platform for Enterprise AI (OPEA) project.
Language:Shell
Total stars: 589
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#chatqna, #codegen, #copilot, #gaudi2, #genai, #llms, #rag, #summarization, #tgi, #xeon
Generative AI Examples is a collection of GenAI examples such as ChatQnA, Copilot, which illustrate the pipeline capabilities of the Open Platform for Enterprise AI (OPEA) project.
Language:Shell
Total stars: 589
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#chatqna, #codegen, #copilot, #gaudi2, #genai, #llms, #rag, #summarization, #tgi, #xeon
FareedKhan-dev/all-rag-techniques
Implementation of all RAG techniques in a simpler way
Language:Jupyter Notebook
Total stars: 2178
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#jupyternotebook
#ai, #llm, #llms, #multimodal, #openai, #python, #rag
Implementation of all RAG techniques in a simpler way
Language:Jupyter Notebook
Total stars: 2178
Stars trend:
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#ai, #llm, #llms, #multimodal, #openai, #python, #rag
NirDiamant/GenAI_Agents
This repository provides tutorials and implementations for various Generative AI Agent techniques, from basic to advanced. It serves as a comprehensive guide for building intelligent, interactive AI systems.
Language:Jupyter Notebook
Total stars: 13074
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#agents, #ai, #genai, #langchain, #langgraph, #llm, #llms, #openai, #tutorials
This repository provides tutorials and implementations for various Generative AI Agent techniques, from basic to advanced. It serves as a comprehensive guide for building intelligent, interactive AI systems.
Language:Jupyter Notebook
Total stars: 13074
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#agents, #ai, #genai, #langchain, #langgraph, #llm, #llms, #openai, #tutorials
steipete/agent-rules
Rules and Knowledge to work better with agents such as Claude Code or Cursor
Language:Shell
Total stars: 295
Stars trend:
#shell
#agent, #claudecode, #cursor, #llms, #rules
Rules and Knowledge to work better with agents such as Claude Code or Cursor
Language:Shell
Total stars: 295
Stars trend:
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