Some awesome YouTube content on LangGraph by @Sam_Witteveen Sam has awesome, high-quality guides, and this new one on LangGraph is no exception a GREAT weekend watch https://
youtube.com/watch?v=PqS1ki
b7RTw
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Sam Witteveen’s LangGraph Guide: Essential Weekend Watch
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ROPE and Positional Embeddings: Sine Cosine Functions
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i guess ROPE and some positional embeddings use sine and cosine as well
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Understanding Transformers with High School Mathematics
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one exciting observation about transformers (and most modern deep learning) is that you can understand them using high school math. really just multiplication, division, sums, and exponentiation, many times, and in a strange and initially hard-to-grok order
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ML Research and Applied ML Require Different Skill Sets
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The skills needed for developing new ML techniques have little overlap with the skills needed for applying ML effectively. A bit like how chip design has little overlap with software engineering.
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SPL’s Official GitHub Repository for esProc Data Processing
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SPL’s official GitHub repository: https://
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Contractual Obligations and Copyright in AI Development
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Contractual obligation doesn't require Copyright.
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Vectara nodes in Flowise: citations and language features
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2 big advantages of using Vectara nodes in Flowise: Citations for summarized answers
Language agnostic (answer in your preferred choice of language) Thanks @ofermend for the constant update! -
Python ML/MLOps and LLM Engineering Daily Tutorials
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That's a wrap, hope you enjoyed reading! If you're interested in: • Python • ML/MLOps • LLMs/AI Engineering Don't forget to follow me: @akshay_pachaar Everyday, I share tutorials on above topics! I also write a weekly newsletter on AI Engineering: @ML_Spring
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LLMs High Leverage Skill: Lightning AI Platform and Tutorials
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Working with LLMs is going to to be a high leverage skill! @LightningAI provides state of the art tutorials on LLMs & LLMOps! On top of that you get an integrated AI developer platform with access to FREE GPUs & VSCode right in your browser! Check this: http://
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Implementing Self-Attention in PyTorch: An Intuitive Guide
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Implementing self-attention using PyTorch, doesn't get easier! It's very intuitive! Check this out