Some people today are discouraging others from learning programming on the grounds AI will automate it. This advice will be seen as some of the worst career advice ever given. I disagree with the Turing Award and Nobel prize winner who wrote, “It is far more likely that the
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Gemma 3 Technical Report and Memory Usage Analysis Script
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Here's a link to the Gemma 3 technical report: https://
storage.googleapis.com/deepmind-media
/gemma/Gemma3Report.pdf
… I shared the script to replicate the memory usage vs context length analysis here: https://
gist.github.com/rasbt/b7980a2a
33e33847f08b1543f0627950#file-llama-vs-gemma-py
… (not very pretty but it should work) -
Gemma3 Local Deep Research Assistant with Ollama
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Fully local deep research assistant with Gemma3 Google just released Gemma3, several open source highly performant models that can be run locally. We overview Gemma3 and test it w/ local deep research using @ollama
. : https://
youtu.be/XsJxF_MDfyI : https://
github.com/langchain-ai/o
llama-deep-researcher
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Bolt Revolutionizes Browser-Based Development with AI
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Some key takeaways: 1. Bolt succeeded by doing what was thought impossible—running full dev environments in a browser. 2. Bolt operated on minimal resources and near-zero runway, mostly just staying alive long enough to keep trying new things. When Claude 3.5 Sonnet launched,
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Reasoning systems for idea clustering and proposition grouping
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Now, onto the cool part: after extracting propositions, we need a system that can reason about each one and decide whether it fits into an existing chunk or if it should start a new one. This grouping process mimics how we naturally group ideas when reading or taking notes.
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Agentic Chunking: LLMs Merging Related Content Intelligently
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Unlike traditional chunking that often isolates scattered information, agentic chunking leverages LLMs to merge related content, maintaining the natural connections between chapters, paragraphs, and clauses.
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Semantic Chunking for Optimized RAG Retrieval and Context
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Instead of simply splitting text at every sentence break, this approach groups ideas much like we naturally do when reading or taking notes. It preserves context and helps organize your LLM content when retrieving the RAG chunks.
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Agentic Chunking: Semantic Text Decomposition Method
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Following yesterday's post sharing chunking tips, I think "Agentic Chunking" is an awesome idea! Agentic chunking is a method for breaking down text into semantically coherent pieces (transforming your chunks) by extracting clear, stand-alone statements—called propositions.
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Model Achieves Strong Performance on Instruction Following and Tool Tasks
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It also provides strong performance across a range of standard benchmarks on instruction following, SQL, agentic, and tool tasks.
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Using Val Town to Receive Replicate Webhook Events
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http://
val.town is a delightfully simple tool for writing hosted serverless functions, which makes it a perfect fit for handing Replicate webhooks. We wrote a little guide to standing up a simple API on Val Town that receives webhook events from Replicate and sends you