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LFM2-8B-A1B GGUF Quantizations Available on Hugging Face
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LFM2-8B-A1B and GGUF quants are now available on Hugging Face!
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DPT-2 Document Pre-Trained Transformer Model Revolutionizes Complex Table Parsing
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The new Document Pre-Trained Transformer (DPT-2) model in ADE is a game changer. It parses complex tables with merged cells, multi-level headers, and irregular grids, with spatial grounding and bounding boxes for traceability. GitHub Repo:
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ade-python: Transform Complex Documents into LLM-Ready Data
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Turn complex and messy documents into LLM-ready data! ade-python is a Python library for Agentic Document Extraction (ADE) that outputs layout-aware structured JSON from visually complex documents.
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Clarification on Codex CLI Cloud and GPT-5-Codex products
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Was this about Codex CLI, Codex Cloud, GPT-5-Codex or all three?
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ChatGPT Developer Mode Ships with Memory Off by Default
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looks like oai accidentally shipped a thing that @simonw has been asking for: the new chatgpt developer mode starts with memory off by default
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Creator Shares 100+ Free AI Agents and RAG Tutorials
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Stay tuned for more such interesting posts → @Saboo_Shubham_ I have created 100+ AI Agents and RAG tutorials, 100% free and opensource. P.S: Don't forget to star the repo to show your support
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Free Step-by-Step AI Agents and RAG Systems Tutorials
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100+ free step-by-step tutorials with code covering: AI Agents RAG Systems Voice AI Agents MCP AI Agents Multi-agent Teams Autonomous Game Playing Agents P.S: Don't forget to subscribe for FREE to access future tutorials.
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Claude Code now supports 50+ AI models with Zen MCP
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Claude Code can now work with 50+ AI models.
— Shubham Saboo (@Saboo_Shubham_) 7 octobre 2025
Zen MCP connects Claude Code with Gemini, OpenAI, Grok, and local models using Ollama for the best analysis on each task.
100% Opensource. pic.twitter.com/OlEmXeh7saClaude Code can now work with 50+ AI models. Zen MCP connects Claude Code with Gemini, OpenAI, Grok, and local models using Ollama for the best analysis on each task. 100% Opensource.
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Engineering Candidates Submitting Low Quality Vibe Coded Solutions
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Evaluating coding submissions from prospective engineers; 80% are clearly vibe coded, 60% don’t actually work, 40% of the documentations do not make sense; this generation is ngmi