LLM

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Dummy's Guide to Modern Samplers

rentry.org An idiot's comprehensive guide to modern sampling
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Tracing the thoughts of a large language model \ Anthropic

anthropic.com Anthropic's latest interpretability research: a new microscope to understand Claude's internal mechanisms
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Circuit Tracing: Revealing Computational Graphs in Language Models

transformer-circuits.pub We describe an approach to tracing the
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🦜️🔗 The LangChain Open Tutorial for Everyone | LangChain OpenTutorial

langchain-opentutorial.gitbook.io
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Transformers from Scratch

brandonrohrer.com Brandon Rohrer:Transformers from Scratch
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The Annotated Transformer

nlp.seas.harvard.edu
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Welcome | Unsloth Documentation

docs.unsloth.ai LLM Finetuning
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Agent Recipes

agentrecipes.com Explore common agent recipes with ready to copy code to improve your LLM applications.
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Building effective agents \ Anthropic

anthropic.com A post for developers with advice and workflows for building effective AI agents
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A Visual Guide to Quantization

newsletter.maartengrootendorst.com Exploring memory-efficient techniques for LLMs
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A Visual Guide to Mixture of Experts (MoE)

newsletter.maartengrootendorst.com Demystifying the role of MoE in Large Language Models
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NirDiamant/Controllable-RAG-Agent

github.com This repository provides an advanced Retrieval-Augmented Generation (RAG) solution for complex question answering. It uses sophisticated graph based algorithm to handle the tasks. - NirDiamant/Cont...
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NirDiamant/GenAI_Agents: AI Agent techniques

github.com 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 A...
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NirDiamant/RAG_Techniques

github.com This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative models to provide accurate and cont...
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Implementing GraphReader with Neo4j and LangGraph

towardsdatascience.com Elevating RAG accuracy and performance by structuring long documents into explorable graphs and implementing graph-based agent systems
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LLM Visualization

bbycroft.net A 3D animated visualization of an LLM with a walkthrough.
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Building LLM-Powered Apps course

youtube.com With Building LLM-Powered Apps course you will learn how to build LLM-powered applications using LLM APIs, Langchain and W&B Prompts. This course will guide ...
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Multimodal RAG with ColPali and Gemini

learnopencv.com Multimodal RAG with ColPali and Gemini is a big leap in AI, which improves the document retrieval quality by a huge margin while preserving document structure
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LLMs Courses

parlance-labs.com Educational resources on LLMs
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Generative AI exists because of the transformer

ig.ft.com The technology has resulted in a host of cutting-edge AI applications — but its real power lies beyond text generation
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mlabonne/llm-course: Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

github.com Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks. - mlabonne/llm-course
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alexpinel/Dot: Standalone app for easy RAG with local LLM

github.com Standalone app for easy RAG with local LLM.
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lavague-ai/LaVague: Large Action Model framework to develop AI Web Agents

github.com Large Action Model framework to develop AI Web Agents - lavague-ai/LaVague