Google has published a free guide on scaling AI models and working with GPUs. 🚀
📘 How to Scale Your Model
https://jax-ml.github.io/scaling-book/
📘 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. 💡
It's completely free and available online. 🌐
#AI #MachineLearning #GPU #Scaling #DeepLearning #Tech
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🚀 Level up your AI & Data Science skills with HelloEncyclo — a growing all-in-one platform featuring hands-on courses in LLMs, Deep Learning, MLOps, Data Engineering, and more.
✅ 13 courses live + 40+ coming soon
🎯 One access, lifetime updates
🔑 Use code: PRESALE-BOOK-WAVE-2GFG
👉 https://helloencyclo.com/?ref=HUSSEINSHEIKHO
📘 How to Scale Your Model
https://jax-ml.github.io/scaling-book/
📘 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. 💡
It's completely free and available online. 🌐
#AI #MachineLearning #GPU #Scaling #DeepLearning #Tech
✨ Join Best TG Channels https://xn--r1a.website/addlist/0f6vfFbEMdAwODBk
⭐️ Join Our WhatsApp Channel https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A
🚀 Level up your AI & Data Science skills with HelloEncyclo — a growing all-in-one platform featuring hands-on courses in LLMs, Deep Learning, MLOps, Data Engineering, and more.
✅ 13 courses live + 40+ coming soon
🎯 One access, lifetime updates
🔑 Use code: PRESALE-BOOK-WAVE-2GFG
👉 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 other…
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🔖 How to Reduce the Cost of LLM Inference by up to 90%
If your AI agents are constantly sending the same context, consider using LMCache. 🚀
This open-source system manages a KV cache, allowing you to reuse already computed representations instead of recalculating them for each request. 🧠
As a result:
⚡️ Up to 14x faster Time To First Token;
⚡️ Up to 4x faster decoding;
⚡️ Significant savings in GPU resources and inference costs. 💰
⛓️ Link to GitHub
https://github.com/LMCache/LMCache
#LLM #AIOptimization #LMCache #GPU #CostReduction #AIEngineering
✨ Join Best TG Channels https://xn--r1a.website/addlist/0f6vfFbEMdAwODBk
⭐️ Join Our WhatsApp Channel https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A
If your AI agents are constantly sending the same context, consider using LMCache. 🚀
This open-source system manages a KV cache, allowing you to reuse already computed representations instead of recalculating them for each request. 🧠
As a result:
⚡️ Up to 14x faster Time To First Token;
⚡️ Up to 4x faster decoding;
⚡️ Significant savings in GPU resources and inference costs. 💰
⛓️ Link to GitHub
https://github.com/LMCache/LMCache
#LLM #AIOptimization #LMCache #GPU #CostReduction #AIEngineering
✨ Join Best TG Channels https://xn--r1a.website/addlist/0f6vfFbEMdAwODBk
⭐️ Join Our WhatsApp Channel https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A
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