VeRL + LangGraph A seamless integration combining VeRL's reinforcement learning with LangGraph for enhanced multi-turn RL agents. Streamlines training-to-production workflows with automated tool handling and conversation management. Explore the implementation:
OPEN SOURCE
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LangConnect: Complete RAG Management Solution with Streamlit
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LangConnect: RAG Made Easy A complete RAG management solution with Streamlit dashboard for document processing and vector search. Built with PostgreSQL/pgvector, it offers real-time processing, multi-type search, and secure authentication. Check it out here
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Essential ML Concepts and Papers Explained Resource
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A list explaining key ML concepts and papers: https://
github.com/dair-ai/ML-Pap
ers-Explained
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@omarsar0 -
DataFrame Analyzer: Local Private Pandas Workflow with ChatOllama
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DataFrame Analyzer Streamline your Pandas workflow with this LangChain solution using ChatOllama for local, private DataFrame analysis. Automatically transform complex datasets into clear, human-readable reports. Check out the implementation https://
towardsdatascience.com/llms-pandas-ho
w-i-use-generative-ai-to-generate-pandas-dataframe-summaries-2/
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JAX Usage as Indicator of High-Quality Research Papers
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You can tell a paper is going to be solid when you follow the link to the repo and see it uses JAX
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Grok 4 Benchmarks vs Other Models
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Grok 4 early benchmarks in comparison to other models. Humanity last exam diff is Visualised by @marczierer
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GLM-4.1V-Thinking: Powerful Vision-Language Model for Multimodal Reasoning
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GLM-4.1V-Thinking – a powerful new vision-language model for multimodal reasoning!
From STEM to GUI agents, it outperforms models 8x its size.
Open-source, scalable, and state-of-the-art.
Paper Link: https://
arxiv.org/abs/2507.01006 #AI #VLM #Multimodal #GLM4 #OpenSourceAI -
Tensor Methods in Deep Learning: TensorLy PyTorch Integration
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I have been advocating tensor methods for almost decade and a half. Take a look at our tensor methods in deep learning from a few years ago https://
arxiv.org/abs/2107.03436 Tensorly package allows defining tensor operations in Pytorch seamlessly http://
tensorly.org @JeanKossaifi -
Open-source generates $2,000 value per dollar invested
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Every $ invested in open-source generates $2,000 of value. Might be orders of magnitude more for open-source AI! https://
x.com/clementdelangu
e/status/1901751361320206554?s=46
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LangChain integrates Claude Sonnet 4 citable search results for RAG
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LangChain now supports Claude Sonnet 4's citable search results – bringing proper source attribution to your RAG apps. You can now: • Get natural source attribution with proper titles and sources automatically included in search results • Have citations seamlessly linked