Foundations for advanced learners
588 resources · page 10 of 19
Machinelearning (@ai_machinelearning_big_data)
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Russian-language Telegram channel aggregating machine learning and data science news, papers and tutorials.
Mario Zechner (@badlogicgames)
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Mario Zechner's site: developer writing on coding agents and building agent tools.
Maritaca AI (Rodrigo Nogueira)
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Maritaca AI site: Brazilian company behind the Sabiá family of Portuguese language models.
@math_rachel (Rachel Thomas)
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X account of Rachel Thomas, fast.ai co-founder: posts on AI ethics and practical deep learning.
Matt Pocock (@mattpocockuk)
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Matt Pocock's AI Hero: courses on AI engineering for developers, including the AI SDK.
Matt Turck (@mattturck)
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Matt Turck's site: FirstMark investor's essays on the MAD (ML, AI, data) landscape and The MAD Podcast.
@mattshumer_ (Matt Shumer)
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X account of Matt Shumer, former HyperWrite CEO: posts on AI models and tools.
Mava
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InstaDeep Mava GitHub repo: codebase for experiments in multi-agent reinforcement learning.
Max Woolf (@minimaxir)
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Max Woolf's blog: data-heavy experiments testing LLM code generation and prompting claims.
llm-course (Maxime Labonne)
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Maxime Labonne's LLM Course GitHub repo: roadmaps and notebooks for learning to build and fine-tune LLMs.
@maximelabonne (Maxime Labonne)
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X account of Maxime Labonne, Liquid AI head of post-training: posts on fine-tuning and model merging.
MBZUAI ORYX
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MBZUAI ORYX GitHub organisation: code for vision-language models and multimodal evaluation.
@mckaywrigley (Mckay Wrigley)
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X account of Mckay Wrigley: tutorials and demos on building with AI coding tools.
Melanie Mitchell (@MelMitchell1)
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Melanie Mitchell's Substack AI: A Guide for Thinking Humans, on AI developments and reasoning abilities.
Mem0
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Mem0 GitHub repo: memory layer providing persistent memory for AI agents.
Merve Noyan (@mervenoyann)
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Merve Noyan's Hugging Face profile: vision-language model explainers, notebooks and demos.
@mervenoyann (Merve Noyan)
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X account of Merve Noyan, Hugging Face: explainers on open vision-language model releases.
@METR_Evals (METR)
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X account of METR: research on evaluating autonomous capabilities and risks of frontier AI models.
MEXT Japan: Guideline for GenAI in primary and secondary education v2.0 (PDF)
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MEXT guideline v2.0 (PDF) on generative AI use in Japanese primary and secondary education.
Mihail Eric (@mihail_eric)
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Mihail Eric's site: engineer and educator teaching AI-assisted software development.
@mihail_eric (Mihail Eric)
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X account of Mihail Eric, Stanford AI productivity instructor: posts on AI-assisted software development.
Mike Knoop (@mikeknoop)
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ARC Prize site, co-founded by Mike Knoop: nonprofit running the ARC-AGI benchmarks and prizes.
Mila (Montreal)
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Mila: Quebec AI institute in Montreal uniting researchers from several universities.
Miles Brundage (@Miles_Brundage)
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Miles Brundage's Substack on AI policy, governance and safety.
MindSpore framework
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MindSpore GitHub repo: Huawei's open-source deep learning training and inference framework.
@MiniMax_AI (MiniMax)
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X account of MiniMax: announcements of MiniMax language, speech and video models.
MiniMind
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MiniMind GitHub repo: training a small GPT-style language model from scratch on one consumer GPU.
MIT 6.5940 TinyML/efficient DL
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MIT 6.5940 TinyML and Efficient Deep Learning course (Fall 2024): quantisation, pruning and efficient LLM serving.
MIT 6.S191
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MIT 6.S191 Introduction to Deep Learning: annual course with lectures, slides and labs.
How Chinese short dramas became AI content machines (MIT Technology Review)
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MIT Technology Review report on Chinese short dramas produced largely with AI.
Mitchell Hashimoto (@mitchellh)
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Mitchell Hashimoto's personal site: HashiCorp co-founder and Ghostty creator, with writing on AI-assisted development.
Mitchell Hashimoto writing
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Mitchell Hashimoto's writing index, including posts on AI-assisted programming practice.