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GPT, Generative AI, and LLM Technologies Overview
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Vibe Coding: Manifesting Vision Beyond Implementation Details
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vibe coding is the manifesting of vision, abstracted from the details (ideally the unnecessary ones!) of how that vision comes to be
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Contextual Indexing: Adding Document Context to Chunks Before Embedding
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Contextual Indexing is another good technique. Essentially, before embedding a chunk, prepend a short description of where it sits in the document…something like "This chunk is from Section 3 of a whitepaper on authentication methods." This helps because chunks often lose
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Python Crash Course Bestselling Programming Book Milestone Achievement
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"#Python Crash Course" is the world’s bestselling programming book, with over 1,500,000 copies sold! http://
amzn.to/42iMGvp by @ehmatthes —————
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MIT’s Comprehensive eBook on Algorithms for Decision-Making
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[700-page PDF e-Book] #Algorithms for Decision-Making — brilliant and comprehensive eBook from MIT: http://
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PageIndex: Vector-Free RAG Library Released Open Source
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Sharing an open-source, free RAG library: PageIndex A vector-free, reasoning-based RAG solution I understand this is a new form of RAG: • No need for vector databases • No need for chunking processing • Relies on structured reasoning and tree-based retrieval •
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Training GPT-2 Grade LLMs for Under $100
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nanochat can now train GPT-2 grade LLM for <<$100 (~$73, 3 hours on a single 8XH100 node). GPT-2 is just my favorite LLM because it's the first time the LLM stack comes together in a recognizably modern form. So it has become a bit of a weird & lasting obsession of mine to train
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Databricks Assistant: AI-Powered Exploratory Data Analysis in Notebooks
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What if you could ask AI to analyze your data for trends and outliers and it just does it? In this demo, Databricks Assistant shows how exploratory data analysis can happen directly in the workspace. Switch a notebook to agent mode and the Assistant can find tables, write and
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Multi-Agent Software Development With User-Controlled Limits
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dude have them build software together! they can already browse the web, identify opps, you already have upvoting/downvoting – nothing fancy just compound engineering + ralph wiggum loops. people opt in their clawdbots with limits, and just let it rip
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Autonomous AI agents with compound engineering and configurable limits
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browse the net, identify opportunities, upvote stuff and build it – nothing fancy just compound engineering + ralph wiggum loops. people opt in their clawdbots with limits, and just let it rip.