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Source channel @githubtrending · Post #14909 · Jul 3

#other#agent#llm#rag Happy-LLM is a free, open-source learning project that helps you deeply understand large language models (LLMs) from basics to advanced training and applications. It teaches you key concepts like NLP, Transformer architecture, pretraining, and how to build and train your own LLaMA2 model step-by-step. You also learn practical skills like fine-tuning and using cutting-edge techniques such as Retrieval-Augmented Generation (RAG) and intelligent agents. This project is ideal if you know some Python and deep learning, and it offers both theory and hands-on code to help you master LLM development and apply it in real-world AI tasks. This can boost your skills and confidence in AI model building and research. https://github.com/datawhalechina/happy-llm

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AI & Law

@ai_and_law · Post #127 · 10/02/2023, 07:04 AM

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ISO and IEC Make Foundational Standard on Artificial Intelligence Publicly Available Hello, everyone! The International Organisation for Standardization (ISO) and the International Electrotechnical Commission (IEC) have made ISO/IEC 22989, a critical AI standard, accessible to the public. This foundational standard defines over 110 essential AI concepts, including 'datasets', 'AI agents', 'transparency', and 'explainability'. ISO/IEC 22989 provides conceptual guidance for Natural Language Processing (NLP) and Computer Vision (CV) models. Its goal is to establish a shared vocabulary, terminology, and framework for AI concepts, promoting fruitful discussions among stakeholders. Here's a snapshot of key definitions: - AI System - Artificial General Intelligence (AGI) - AI Auditor - Robustness - Explainability - Predictability - Transparency - Trustworthiness As AI regulations surge worldwide, standardization becomes a vital need, especially in the absence of global alignment in regulatory language. #AIStandards#AI#ISO#IEC#AICommunity

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