Hybrid RAG with EnsembleRetriever EnsembleRetriever enhances RAG accuracy by combining semantic search and BM25 ranking in a powerful hybrid approach, delivering superior search performance. Watch now: https://
youtube.com/watch?v=UVQxMk
fQQbw
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OPEN SOURCE
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Hybrid RAG with EnsembleRetriever for Superior Search
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7 Alternative Attention Mechanism Implementations for Chapter 3
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Welcome back, again :). I don't want to ruin your weekend, but based on that chapter, here are 7 more alternative ways to implement the attention mechanism https://
github.com/rasbt/LLMs-fro
m-scratch/blob/main/ch03/02_bonus_efficient-multihead-attention/mha-implementations.ipynb
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(It's just for fun, pls don't let it hold you back from Ch 4!) -
LangGraph Multi-Agent Home Assistant for Household Automation
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Multi-Agent Home Assistant A LangGraph-powered AI system that manages your household through natural language, coordinating specialized agents for scheduling, task management, and home automation. Check out the implementation https://
github.com/benjichat/lang
graph-home-assistant
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Together AI Releases Open-Source AI Tools and Specialized Applications
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We wrapped up with open-source AI tools from Together AI. Building specialized capabilities and making them freely available like TurboSeek, BlinkShot, NotesGPT and Llama Coder.
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Automating Web Workflows with LLMs at FOSSASIA Summit
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I will be speaking at @fossasia Summit next week in Bangkok 🇹🇭
— Saurav Jain (Open Source + Communities) (@Sauain) 8 mars 2025
My talk is about Automating the web workflows using LLMs and the role of Apify 🙂
See you there on March 14th, Room 3 🙂 pic.twitter.com/VIpGMfo4x4I will be speaking at @fossasia Summit next week in Bangkok My talk is about Automating the web workflows using LLMs and the role of Apify 🙂 See you there on March 14th, Room 3 🙂
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Open-source and open-science approaches for AI development
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Exciting Misha! Would be exciting to see open-source/open-science
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PyTorch GPU CUDA Auto-Detection on Machine Installation
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On a non-CUDA machine it will actually get the CPU version automatically. But yeah, if you are on a CUDA machine, I guess it's assumed you want the CUDA version (makes sense though, because otherwise new users might be confused why their GPU is not working in PyTorch)
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Jamba Mini 1.6 Outperforms Competitors in Output Speed
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Jamba Mini 1.6 outpacing Gemini 2.0 Flash, GPT-4o mini, and Mistral Small 3 on output speed. https://
artificialanalysis.ai/models/jamba-1
-6-mini
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LangGraph maintains stability with minimal breaking changes
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langgraph has had very few breaking changes. anything in particular you're refering to?
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PyTorch installation size reaches 2.8 GB with uv pip
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Fun fact, `(uv) pip install torch` is 2.8 Gb now 2