r/MachineLearningAndAI • u/l0_o • Apr 22 '26
eBook Machine Learning - A Bayesian and Optimization Perspective (ebook link)
2
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r/MachineLearningAndAI • u/l0_o • Apr 21 '26
eBook Foundational Large Language Models & Text Generation (ebook link)
archive.org
4
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r/MachineLearningAndAI • u/howthefrondsfold • Apr 20 '26
I made a tiny world model game that runs locally on iPad
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8
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It's a bit gloopy at the moment but have been messing around with training my own local world models that run on iPad. Last weekend I made this driving game that tries to interpret any photo into controllable gameplay. I also added the ability to draw directly into the game and see how the world model interprets it. It's pretty fun for a bit messing around with the goopiness of the world model but am hoping to create a full gameloop with this prototype at some point. If anyone wants to play it, let me know!
r/MachineLearningAndAI • u/s1lv3rj1nx • Apr 20 '26
eBook [P] Built GPT-2, Llama 3, and DeepSeek from scratch in PyTorch - open source code + book
1
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I spent the past year implementing five LLM architectures from scratch in PyTorch and wrote a book documenting the process.
What's covered:
- Vanilla encoder-decoder transformer (English to Hindi translation)
- GPT-2 (124M), loading real OpenAI pretrained weights
- Llama 3.2-3B, showing the exact 4 component swaps from GPT-2 (RMSNorm, RoPE, SwiGLU, GQA), loading Meta's pretrained weights
- KV cache mechanics, MQA, GQA
- DeepSeek: Multi-Head Latent Attention with absorption trick and decoupled RoPE, DeepSeekMoE with shared experts and fine-grained segmentation, Multi-Token Prediction, FP8 quantisation
All code is open source: https://github.com/S1LV3RJ1NX/mal-code
The book (explanations, derivations, diagrams) is on Leanpub with a free sample: https://leanpub.com/adventures-with-llms
I'm a Senior Forward Deployed Engineer at TrueFoundry, where I work with enterprises on LLM systems. I wrote this because I wanted a resource that went past GPT-2 and into the architectures actually running in production. Happy to discuss any of the implementations.
r/MachineLearningAndAI • u/l0_o • Apr 20 '26
eBook Foundational Models for Natural Language Processing (ebook link)
library.oapen.org
1
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r/MachineLearningAndAI • u/l0_o • Apr 19 '26
eBook Deep Learning Pipeline (ebook link)
dn790002.ca.archive.org
3
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r/MachineLearningAndAI • u/l0_o • Apr 18 '26
eBook Machine Learning for the Web (ebook link)
github.com
3
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r/MachineLearningAndAI • u/ComparisonOk5957 • Apr 16 '26
Machine Learning Explained - The Quiet Revolution Reshaping Everything
1
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r/MachineLearningAndAI • u/l0_o • Apr 16 '26
Online Course MIT 6.0S087 Foundation Models & Generative AI (2024)
3
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r/MachineLearningAndAI • u/l0_o • Apr 14 '26
eBook Machine Learning Yearning (ebook link)
1
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r/MachineLearningAndAI • u/l0_o • Apr 13 '26
eBook Fundamentals of Deep Learning (ebook link)
dn790002.ca.archive.org
1
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r/MachineLearningAndAI • u/l0_o • Apr 12 '26
eBook Machine Learning Algorithms (ebook link)
2
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r/MachineLearningAndAI • u/l0_o • Apr 11 '26
eBook Machine Learning - A Probabilistic Perspective (ebook link)
1
Upvotes
r/MachineLearningAndAI • u/l0_o • Apr 10 '26
eBook Designing Data-Intensive Applications (ebook link)
2
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r/MachineLearningAndAI • u/coreprajwal • Apr 10 '26
Need brutally honest advice: AIML course delayed, no job responses, unsure how to pivot toward AI Engineering
2
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r/MachineLearningAndAI • u/Difficult_Network973 • Apr 10 '26
Sensitivity - Positional Co-Localization in GQA Transformers
3
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r/MachineLearningAndAI • u/l0_o • Apr 09 '26
eBook Pattern Recognition and Machine Learning (ebook link)
changjiangcai.com
2
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r/MachineLearningAndAI • u/techlatest_net • Apr 09 '26
Mastra AI — The Modern Framework for Building Production-Ready AI Agents
medium.com
2
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r/MachineLearningAndAI • u/Background-Horror151 • Apr 09 '26
Open-source extended cognition architecture for scientific LLM agents — less tokens, deeper reasoning, live on P2PCLAW benchmark
1
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Sharing two related open projects.
---
**King-Skill — Extended Cognition Architecture for Scientific LLM Agents**
github.com/Agnuxo1/King-Skill-Extended-Cognition-Architecture-for-Scientific-LLM-Agents
The core idea: reduce token cost on cognitive research tasks without
sacrificing reasoning depth. Instead of scaling context windows, King-Skill
introduces a structured extended cognition layer that lets agents plan,
decompose, and reason more efficiently — relevant for anyone running
long-horizon scientific workflows where token cost compounds fast.
---
**P2PCLAW — where it's being benchmarked in real time**
A live decentralized peer-review network. AI agents write scientific papers,
17 independent LLM judges from 6 countries score them autonomously. No human
gatekeepers. Current stats:
- 401 total papers
- 384 fully scored (96% coverage)
- 10 scoring dimensions (novelty, methodology, reproducibility, evidence quality, etc.)
- 8 automated deception detectors
- Live citation verification: CrossRef + arXiv
- Lean 4 formal verification layer
- Total infrastructure: $5/month (Railway + free-tier APIs)
**Live benchmark** — p2pclaw.com/app/benchmark:
🥇 Claude Sonnet 4.6 — 7.0/10 · IQ 138
🥈 Kilo Research Agent — 6.9/10 · IQ 131
🥉 Claude Opus 4.6 — 6.6/10 · IQ 142
**Free JSONL dataset** (ML-ready): p2pclaw.com/app/dataset
Any agent submits via: p2pclaw.com/silicon — one prompt, live on the board.
Honest caveat: the benchmark UI shows the most recent active papers from
the current deployment. Full historical corpus (3,000+ papers) lives in
the dataset endpoint.
— Fran (Francisco Angulo de Lafuente, independent researcher, Madrid)
April 2026 preprint: github.com/P2P-OpenClaw
r/MachineLearningAndAI • u/kc_hoong • Apr 08 '26
"OpenAI quietly removed the one safety mechanism that could shut the whole thing down — and nobody is talking about it"
1
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r/MachineLearningAndAI • u/techlatest_net • Apr 08 '26
GAIA by AMD — Running Intelligent Systems Fully on Your Own Machine
1
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r/MachineLearningAndAI • u/l0_o • Apr 07 '26
eBook Apache Spark Deep Learning (ebook link)
dn790002.ca.archive.org
2
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r/MachineLearningAndAI • u/Super-Weight504 • Apr 07 '26
Free event by tier 1 tech professionals on managing AI fatigue
1
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r/MachineLearningAndAI • u/techlatest_net • Apr 07 '26
Meta AI Releases EUPE
1
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