If you're interested in ML, LLMs, and AI Agents and want to receive tutorials every week, subscribe to AI Engineering (for free): http://
aiengineering.beehiiv.com Github Repo to Docling:
@sumanth_077
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Subscribe to AI Engineering Weekly Tutorials on ML and LLMs
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Transform Documents into LLM Ready Data with Python
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Transform any document into LLM ready data in just a few lines of python code! Supports PDF, DOCX, PPTX, XLSX, Images, HTML, AsciiDoc, Markdown and more. Compatible with macOS, Linux and Windows environments. Both x86_64 and arm64 architectures. 100% Open Source
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Stanford CME 295 Transformers and LLMs Cheatsheets
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Link to the cheatsheets: https://
github.com/afshinea/stanf
ord-cme-295-transformers-large-language-models
… If you're interested in ML, LLMs, and AI Agents and want to receive tutorials every week, subscribe to AI Engineering (for free): -
Stanford Releases Free LLM and Transformers Cheatsheets
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Stanford University released the best cheatsheets you'll ever find to learn LLMs & Transformers! These cheatsheets cover: • Self-attention, Flash Attention, LoRA, SFT
• Mixture of Experts, Distillation, Quantization
• RAG, Agents, LLM-as-a-judge 100% Free and Open Source -
LLMs Long Context Window Leverage Discussion
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This one particularly leverages the long context window of llms!
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ContextGem Leverages LLM Long Context Windows for Extraction
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ContextGem particularly leverages the long context window of LLMs for extraction tasks!
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ContextGem: Open Source LLM Framework for Document Data Extraction
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Extract structured data and insights from documents with just a few lines of Python code! ContextGem is an LLM framework that makes extracting structured data and insights from documents radically easier with minimal code. 100% Open Source
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Paper2Code: Multi-Agent System Transforms ML Papers into Code
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Turn any ML paper into code repository! Paper2Code is a multi-agent LLM system that transforms a paper into a code repository. It follows a three-stage pipeline: planning, analysis, and code generation, each handled by specialized agents. 100% Open Source
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PDF RAG Agent with Agno and Milvus Vector Database
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PDF RAG Agent using Agno and Milvus!
— Sumanth (@Sumanth_077) 2 mai 2025
I’ve built a PDF RAG agent that pulls context from indexed PDF files stored in a local vector database.
If needed, it can fall back to web search to provide more relevant answers.
100% open source. Here's a step-by-step guide: https://t.co/IjNO8yT8oq pic.twitter.com/pJCy2vFyCPPDF RAG Agent using Agno and Milvus! I’ve built a PDF RAG agent that pulls context from indexed PDF files stored in a local vector database. If needed, it can fall back to web search to provide more relevant answers. 100% open source. Here's a step-by-step guide:
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Milvus: Fast, Scalable Open-Source Vector Database
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Milvus is the vector database powering our vector search. It's open-source, incredibly fast, and scalable. It can store and query millions (or even billions) of vectors efficiently. Check them out!