Foundations for beginner learners

553 resources · page 10 of 18

• Machinelearning (@ai_machinelearning_big_data)

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  Russian-language Telegram channel aggregating machine learning and data science news, papers and tutorials.

  Not applicable (entity) · unknown · unknown resource · ru

• Mario Zechner (@badlogicgames)

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  Mario Zechner's site: developer writing on coding agents and building agent tools.

  Not applicable (entity) · unknown · unknown resource · en|de

• Maritaca AI (Rodrigo Nogueira)

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  Maritaca AI site: Brazilian company behind the Sabiá family of Portuguese language models.

  Not applicable (entity) · unknown · unknown resource · pt

• @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.

  Not applicable (entity) · unknown · unknown resource · und

• Matt Pocock (@mattpocockuk)

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  Matt Pocock's AI Hero: courses on AI engineering for developers, including the AI SDK.

  Not applicable (entity) · unknown · unknown resource · en

• 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.

  Not applicable (entity) · unknown · unknown resource · en

• @mattshumer_ (Matt Shumer)

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  X account of Matt Shumer, former HyperWrite CEO: posts on AI models and tools.

  Not applicable (entity) · unknown · unknown resource · und

• Mava

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  InstaDeep Mava GitHub repo: codebase for experiments in multi-agent reinforcement learning.

  Not applicable (entity) · unknown · unknown resource · en

• Max Woolf (@minimaxir)

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  Max Woolf's blog: data-heavy experiments testing LLM code generation and prompting claims.

  Not applicable (entity) · unknown · unknown resource · en

• 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.

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• @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.

  Not applicable (entity) · unknown · unknown resource · und

• MBZUAI ORYX

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  MBZUAI ORYX GitHub organisation: code for vision-language models and multimodal evaluation.

  Not applicable (entity) · unknown · unknown resource · en

• @mckaywrigley (Mckay Wrigley)

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  X account of Mckay Wrigley: tutorials and demos on building with AI coding tools.

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• Melanie Mitchell (@MelMitchell1)

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  Melanie Mitchell's Substack AI: A Guide for Thinking Humans, on AI developments and reasoning abilities.

  Not applicable (entity) · unknown · unknown resource · en

• Mem0

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  Mem0 GitHub repo: memory layer providing persistent memory for AI agents.

  Not applicable (entity) · unknown · unknown resource · en

• Merve Noyan (@mervenoyann)

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  Merve Noyan's Hugging Face profile: vision-language model explainers, notebooks and demos.

  Not applicable (entity) · unknown · unknown resource · en

• @mervenoyann (Merve Noyan)

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  X account of Merve Noyan, Hugging Face: explainers on open vision-language model releases.

  Not applicable (entity) · unknown · unknown resource · en

• @METR_Evals (METR)

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  X account of METR: research on evaluating autonomous capabilities and risks of frontier AI models.

  Not applicable (entity) · unknown · unknown resource · und

• 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.

  Not applicable (entity) · unknown · unknown resource · ja

• Mihail Eric (@mihail_eric)

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  Mihail Eric's site: engineer and educator teaching AI-assisted software development.

  Not applicable (entity) · unknown · unknown resource · en

• @mihail_eric (Mihail Eric)

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  X account of Mihail Eric, Stanford AI productivity instructor: posts on AI-assisted software development.

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• Mike Knoop (@mikeknoop)

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  ARC Prize site, co-founded by Mike Knoop: nonprofit running the ARC-AGI benchmarks and prizes.

  Not applicable (entity) · unknown · unknown resource · en

• Mila (Montreal)

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  Mila: Quebec AI institute in Montreal uniting researchers from several universities.

  Not applicable (entity) · unknown · unknown resource · en

• Miles Brundage (@Miles_Brundage)

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  Miles Brundage's Substack on AI policy, governance and safety.

  Not applicable (entity) · unknown · unknown resource · en

• MindSpore framework

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  MindSpore GitHub repo: Huawei's open-source deep learning training and inference framework.

  Not applicable (entity) · unknown · unknown resource · zh

• @MiniMax_AI (MiniMax)

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  X account of MiniMax: announcements of MiniMax language, speech and video models.

  Not applicable (entity) · unknown · unknown resource · und

• MiniMind

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  MiniMind GitHub repo: training a small GPT-style language model from scratch on one consumer GPU.

  Not applicable (entity) · unknown · unknown resource · zh|en

• 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.

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• MIT 6.S191

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  MIT 6.S191 Introduction to Deep Learning: annual course with lectures, slides and labs.

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• 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.

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• Mitchell Hashimoto (@mitchellh)

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  Mitchell Hashimoto's personal site: HashiCorp co-founder and Ghostty creator, with writing on AI-assisted development.

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• Mitchell Hashimoto writing

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  Mitchell Hashimoto's writing index, including posts on AI-assisted programming practice.

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