(WIP) A Little Bit of Reinforcement Learning from Human Feedback
Changelog 4 Feb. 2025: PPO and GAE 2 Feb. 2025: Added changelog, revamped introduction, Acknowledgements I would like to thank the following people who helped me directly with this project: Costa Huang, (and of course Claude). Indirect shout-outs go to Ross Taylor, Hamish Ivison, John Schulman, and others in my RL sphere. Additionally, thank you to the contributors on GitHub who helped improve thi
Agentic AI
💻  Accessing Utils File and Helper Functions In each notebook on the top menu: 1:  Click on "File" 2:  Then, click on "Open" You will be able to see all the notebook files for the lesson, including any helper functions used in the notebook on the left sidebar. See the following image for the steps above. 🔄  Reset User Workspace If you need to reset your workspace to its original state, follo
Metaã«è»¢è·ã—ã¦æ„Ÿã˜ãŸPFNã¨ã®é•ã„ - joeã®æ—¥è¨˜
Metaã«è»¢è·ã—ã¦1ã‹æœˆè¿‘ããŒçµŒã¡ã¾ã—ãŸã€‚カナダã®ãƒˆãƒãƒ³ãƒˆã‚ªãƒ•ã‚£ã‚¹å‹¤å‹™ã§ã€ä»Šæœˆã¯æ¸¡èˆªã«å§‹ã¾ã‚Šã€ç¤¾ä¼šä¿é™ºç•ªå·å–å¾—ã€å£åº§é–‹è¨ã€å®¶æŽ¢ã—（インターãƒãƒƒãƒˆç‰ã®å¥‘約も）ã€å·žã®å¥åº·ä¿é™ºã€ä¼šç¤¾ã®ç¦åˆ©åŽšç”Ÿã«å«ã¾ã‚Œã‚‹ä¿é™ºã‚„ç©ã¿ç«‹ã¦å£åº§ã®é–‹è¨ã€ãªã©æ‰‹ç¶šã関連ã§ã‹ãªã‚Šç–²ã‚Œã¾ã—ãŸãŒã€ã‚¢ãƒ¡ãƒªã‚«ãƒ¡ãƒ³ãƒãƒ¼ãƒ‘ークã§ã®æœ¬ç¤¾ã®ã‚ªãƒ³ãƒœãƒ¼ãƒ‡ã‚£ãƒ³ã‚°ã‚‚終了ã—ã¦ã„よã„よæ¥å‹™ãŒé–‹å§‹ã—ãŸã€ã¨ã„ã£ãŸã¨ã“ã‚ã§ã™ã€‚ Metaã¯ã‚ªãƒ³ãƒœãƒ¼ãƒ‡ã‚£ãƒ³ã‚°ä¸ã«ãƒãƒ¼ãƒ ã¨ä¼šã†ã¾ã§è‡ªåˆ†ãŒä½•ã®ä»•äº‹ã‚’ã™ã‚‹ã‹è©³ç´°ã¯å…¨ç„¶æŠŠæ¡ã—ã¦ã„ãªã‹ã£ãŸã®ã§ã™ãŒã€MetaãŒé–‹ç™ºã—é‹ç”¨ã‚‚ã•ã‚Œã¦ã„る社内用ã®æ·±å±¤å¦ç¿’アクセラレータã®ã‚³ãƒ³ãƒ‘イラを開発ã™ã‚‹è·ã¨ãªã£ã¦ã„ã¾ã™ã€‚レイヤã”ã¨ã«ç´°ã‹ãªãƒãƒ¼ãƒ ãŒã‚ã‚Šã€ä¸Šã®æ–¹ã®ãƒ¬ã‚¤ãƒ¤ã§ã¯PyTorchã¨ã®ç¹‹ãŽã“ã¿ã‚’担当ã—ã¦ã„るよã†ã§ã™ãŒã€è‡ªåˆ†ãŒæ‰€å±žã—ã¦ã„ã‚‹ã¨ã“ã‚ã¯ãƒ¬ã‚¤ãƒ¤ã®æœ€ä¸‹å±¤ã®ã¨ã“ã‚ã«ä½ç½®ã—ã¦ãŠã‚Šã€ã‚«ãƒ¼ãƒãƒ«ã®ã‚³ãƒ¼ãƒ‰ã‚’LLVMを介ã—ã¦ã‚³ãƒ³ãƒ‘イルã—アクセラレータã«ä¹—
Knowledge Graphs for RAG
Use Neo4j’s query language Cypher to manage and retrieve data stored in knowledge graphs. Write knowledge graph queries that find and format text data to provide more relevant context to LLMs for Retrieval Augmented Generation. Knowledge graphs are used in development to structure complex data relationships, drive intelligent search functionality, and build powerful AI applications that can reason
GitHub - dkozlov/awesome-knowledge-distillation: Awesome Knowledge Distillation
Neural Network Ensembles, L.K. Hansen, P. Salamon, 1990 Neural Network Ensembles, Cross Validation, and Active Learning, Andres Krogh, Jesper Vedelsby, 1995 Combining labeled and unlabeled data with co-training, A. Blum, T. Mitchell, 1998 Ensemble Methods in Machine Learning, Thomas G. Dietterich, 2000 Model Compression, Rich Caruana, 2006 Dark knowledge, Geoffrey Hinton, Oriol Vinyals, Jeff Dean,
Building and Evaluating Advanced RAG
💻  Accessing Utils File and Helper Functions In each notebook on the top menu: 1:  Click on "File" 2:  Then, click on "Open" You will be able to see all the notebook files for the lesson, including any helper functions used in the notebook on the left sidebar. See the following image for the steps above. 🔄  Reset User Workspace If you need to reset your workspace to its original state, follo
AI Canon | Andreessen Horowitz
Research in artificial intelligence is increasing at an exponential rate. It’s difficult for AI experts to keep up with everything new being published, and even harder for beginners to know where to start. So, in this post, we’re sharing a curated list of resources we’ve relied on to get smarter about modern AI. We call it the “AI Canon†because these papers, blog posts, courses, and guides have h
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NLPã¨Vision-and-Languageã®åŸºç¤Žãƒ»æœ€æ–°å‹•å‘ (2) / DEIM Tutorial Part 2 Vision-and-Language
DEIM2023 第15回データ工å¦ã¨æƒ…å ±ãƒžãƒã‚¸ãƒ¡ãƒ³ãƒˆã«é–¢ã™ã‚‹ãƒ•ã‚©ãƒ¼ãƒ©ãƒ ãƒãƒ¥ãƒ¼ãƒˆãƒªã‚¢ãƒ«è¬›æ¼”資料 Part2: Vision-and-Language
自然言語処ç†ã¨Vision-and-Language / A Tutorial on NLP & Vision-and-Language
2022年度人工知能å¦ä¼šå…¨å›½å¤§ä¼šï¼ˆç¬¬36回） ãƒãƒ¥ãƒ¼ãƒˆãƒªã‚¢ãƒ«è¬›æ¼”資料
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Fashionformer: A simple, Effective and Unified Baseline for Human Fashion Segmentation and Recognition
Nvidia's Jensen Huang on AI & the Next Frontier of Growth
Safe and reliable AI via guardrails
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GitHub - oreilly-japan/practical-dl-for-cloud-mobile-edge-ja
GitHub - PracticalDL/Practical-Deep-Learning-Book: Official code repo for the O'Reilly Book - Practical Deep Learning for Cloud, Mobile & Edge
人工知能・深層å¦ç¿’ã‚’å¦ã¶ãŸã‚ã®ãƒãƒ¼ãƒ‰ãƒžãƒƒãƒ— | U-Tokyo Matsuo-iwasawa Lab
NLPã¨Vision-and-Languageã®åŸºç¤Žãƒ»æœ€æ–°å‹•å‘ (1) / DEIM Tutorial Part 1: NLP
GitHub - thunlp/NREPapers: Must-read papers on neural relation extraction (NRE)
GitHub - thunlp/OpenNRE: An Open-Source Package for Neural Relation Extraction (NRE)
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