Have you tried out langgrapg? You can do it today https://
langchain-ai.github.io/langgraph/how-
tos/human_in_the_loop/time-travel/
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OPEN SOURCE
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LangGraph Enables Human-in-the-Loop Time Travel Features
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Llava o1: Open-Source Vision Language Model with CoT
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Llava o1: https://
huggingface.co/Xkev/Llama-3.2
V-11B-cot
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Major Open Source LLM Releases: Pixtral, Tülu Compete With Claude
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Massive week for Open AI/ ML: @MistralAI Pixtral & Instruct Large – ~123B, 128K context, multilingual, json + function calling & open weights @allen_ai Tülu 70B & 8B – competive with claude 3.5 haiku, beats all major open models like llama 3.1 70B, qwen 2.5 and nemotron Llava
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Open Weights and Science Drive AI Use Cases Forward
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Many such use-cases being powered by open weights & science – so many low hanging fruits! https://t.co/yJMgujXcrG
— Vaibhav (VB) Srivastav (@reach_vb) 24 novembre 2024Many such use-cases being powered by open weights & science – so many low hanging fruits!
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LangChain Tool Marketplace: Extending Open Source Capabilities
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We have a bunch of tools in langchain open source. What would a “tool marketplace” add on top?
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Meta Floods Lmarena with Llama Models
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Meta? is flooding Lmarena with Llama models Many of them have names like Rubble or Richard and do not perform well. Is it a way to manipulate leaderboards somehow? Also, the latest Mistral models have been added and we should expect results to be revealed at some point
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3D Deep Learning with Python: Computer Vision Models Using PyTorch3D
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3D #DeepLearning with #Python — Design and develop #ComputerVision models with 3D data using PyTorch3D: http://
amzn.to/491yDwh via @PacktPublishing ————
#AI #MachineLearning #ML #DataScience #DataScientist #NeuralNetworks #PyTorch -
Discussion on fine-tuning Llama-based models
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Yes it's a finetune of llama, thus I hesitated to include it, but they do build great models
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Building RAG Chatbot from 4500 NeurIPS Research Papers
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NeurIPS Navigator: A Behind the Scenes Look Want to create your own RAG app? See how we turned 4,500+ research papers from @NeurIPSConf into a chatbot called the Navigator. We processed PDFs, created embedding chunks and stored it in on Postgres in a performant way. Powered