targcc @targcc

MeshCoder LLM-Powered Structured Mesh Code Generation from Point Clouds

What happens when you insert your data into a vector database? Let’s go through what's 𝘳𝘦𝘢𝘭𝘭𝘺 happening behind the scenes: That simple API call kicks off an entire orchestra of parallel processes: 𝟭. 𝗬𝗼𝘂𝗿 𝗱𝗮𝘁𝗮 𝗴𝗲𝘁𝘀 𝗼𝗿𝗴𝗮𝗻𝗶𝘇𝗲𝗱 (𝗣𝗿𝗼𝗽𝗲𝗿𝘁𝗶𝗲𝘀…

Our paper on autonomous scientific research is accepted to Findings of #EMNLP2025! 🎉 We introduce Agent Laboratory, a framework that accelerates scientific discovery by teaming human researchers with LLM agents.

@Hesamation another good resource from @modal modal.com/gpu-glossary/r…

Tonight’s reading material. A team at DeepMind wrote this piece on how you must think about GPUs. Essential for AI engineers and researchers.

NN-SVG: Create neural network architecture drawings parametrically! Export them to SVG files and use them in your work!

🎨✨ From simple sketches to stunning 3D interiors — powered by Qwen-Image-Edit! All designs are community contributions, showcasing how AI transforms architectural visions into realistic, stylish, and precise creations. Try it now: chat.qwen.ai/?inputFeature=…

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We just open-sourced an AI framework that does something crazy: It actually explains itself. Most agentic AI systems are black boxes - you ask a question, magic happens, you get an answer. But what if you could watch the entire decision-making process unfold in real-time?…

You can now reproduce DeepSeek-R1's reasoning on your own local device! Experience the "Aha" moment with just 7GB VRAM. Unsloth reduces GRPO training memory use by 80%. 15GB VRAM can transform Llama-3.1 (8B) & Phi-4 (14B) into reasoning models. Blog: unsloth.ai/blog/r1-reason…

🦥 Qwen3-Coder-Flash: Qwen3-Coder-30B-A3B-Instruct 💚 Just lightning-fast, accurate code generation. ✅ Native 256K context (supports up to 1M tokens with YaRN) ✅ Optimized for platforms like Qwen Code, Cline, Roo Code, Kilo Code, etc. ✅ Seamless function calling & agent…

Finally! A RAG over code solution that actually works (open-source). Naive chunking used in RAG isn't suited for code. This is because codebases have long-range dependencies, cross-file references, etc., that independent text chunks just can't capture. Graph-Code is a…

🚀🤖 Agents Towards Production Nir Diamant just released a practical guide for building production-ready AI agents. This open-source playbook features tutorials using LangGraph for workflows and LangSmith for observability, plus essential production features. Check it out 👉…

Wren AI is your GenBI Agent, that you can query any database with natural language → get accurate SQL(Text-to-SQL), charts(Text-to-Charts) & AI-generated insights in seconds.

This Chinese AI model just changed document OCR forever. It can parse complex documents with text, tables, formulas and figures in parallel simultaneously using task-specific prompts. 100% opensource.

Build and deploy LLM agents just using natural language! AutoAgent is the Fully-Automated & Zero-Code LLM Agent Framework that let's you create and deploy LLM agents using just natural language. 100% Open Source

Does MCP kill the need for vector search? The MCP protocol creates exciting new possibilities for agents to connect directly to data sources, but we believe you still need preprocessing and indexing for unstructured data: 📄 90% of enterprise data lives in PDFs, PPTs, and…

Claude 4 just refactored my entire codebase in one call. 25 tool invocations. 3,000+ new lines. 12 brand new files. It modularized everything. Broke up monoliths. Cleaned up spaghetti. None of it worked. But boy was it beautiful.

🚀 We're super excited to announce extended support for the "sarvam-m" model in @mem0ai Memory can now be stored multilingually 🇮🇳 You can now converse and store long-term memory in English, Hindi, Hinglish, and more✨ Mem0 understands and remembers. Perfect for developers…

Your RAG system is stuck in a linear workflow. Here's how to give it the agentic power of choice and reasoning. So what actually makes RAG "agentic"? Traditional RAG (Retrieval Augmented Generation) has limitations. It typically uses just one knowledge source and follows a…

Build an Agent with Human-like Memory! Powered by a live, bi-temporal knowledge graph, enabling your agent to reason over the freshest data. 100% open-source code. Here's a step-by-step guide:

Akshay 🚀 @akshay_pachaar

4 months ago

Build an Agent with Human-like Memory! Powered by a live, bi-temporal knowledge graph, enabling your agent to reason over the freshest data. 100% open-source code. Here's a step-by-step guide: https://t.co/rxgTtgAQb3

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