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🤖 LLMs

How OpenAI Uses LLMs to Explain Neurons Inside LLMs
Explaining Neuron Behavior at Scale + Neuron Viewer
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How Google DeepMind's AlphaGeometry Reached Math Olympiad Level Reasoning By Combining Creative LLMs With Deductive Symbolic Engines
How open-sourced Neurosymbolic AI (Neural Networks + Symbolic Systems) is revolutionizing automated theorem proving
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What is QLoRA?: A Visual Guide to Efficient Finetuning of Quantized LLMs
Sometimes smaller is better. How QLoRA combines efficiency and performance.
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[Jupyter Notebook] Build Your Own Open-source RAG Using LangChain, LLAMA 3 and Chroma
Constructing your local and zero cost RAG pipeline using free, open-source tools
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What is Retrieval Augmented Generation? A Visual Guide On RAGs in the Context of LLMs
Without Fine-tuning, Integrate Custom Information and External Data Sources To Give LLMs Relevant Context To Hallucinate Less And Be More Accurate
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What is LoRA?: A Visual Guide to Low-Rank Approximation for Fine-Tuning LLMs Efficiently
Why LoRA Is Essential For Model Fine-Tuning
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The Challenges of Building Effective LLM Benchmarks
Current state of LLM evaluation and gaps that need filling with comprehensive and high quality leaderboards
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Transformers and the Power of Positional Encoding [Transformers Series]
How Transformers Find Order In Data
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"Attention, Please!": A Visual Guide To The Attention Mechanism [Transformers Series]
Develop an intuition behind Attention: why it took over machine learning + LLMs and what it actually does
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