This 185-page book unlocks the secrets of deep learning.

This 185-page book unlocks the secrets of deep learning.

MIT literally packed 7 hours with everything. You need to know about GenAI for FREE.

MIT literally packed 7 hours with everything. You need to know about GenAI for FREE.

PyTorch Fundamentals: Your First Steps into Hands-on Deep Learning. Github (900+ stars): github.com/analyticalro... Introduction to PyTorch fundamentals, covering tensor initialization, operations, indexing, and reshaping.

PyTorch Fundamentals: Your First Steps into Hands-on Deep Learning. Github (900+ stars): github.com/analyticalro... Introduction to PyTorch fundamentals, covering tensor initialization, operations, indexing, and reshaping.

⭕️BOOKMARK Worthy: This guy literally built a full set of notebooks that actually teach deep learning, from basics to transformers.

⭕️BOOKMARK Worthy: This guy literally built a full set of notebooks that actually teach deep learning, from basics to transformers.

Builds GPT-like LLMs from scratch in PyTorch > Breaks the LLM architecture into simple parts. > Beginner friendly. > Fully hands on. > Everything explained step by step. > Just 10 notebooks.

Builds GPT-like LLMs from scratch in PyTorch > Breaks the LLM architecture into simple parts. > Beginner friendly. > Fully hands on. > Everything explained step by step. > Just 10 notebooks.

You don’t need expensive courses to learn GenAI. Microsoft offers 18-lesson comprehensive course. Generative AI for Beginners for free.

You don’t need expensive courses to learn GenAI. Microsoft offers 18-lesson comprehensive course. Generative AI for Beginners for free.

I wasted months trying to understand RAG. So I created this clear step-by-step guide. Master RAG: > with clear explanations > and intuitive visuals

I wasted months trying to understand RAG. So I created this clear step-by-step guide. Master RAG: > with clear explanations > and intuitive visuals

Top 10 Stanford's Courses on AI & ML. If you want to learn AI the right way, start here. No shortcuts. No hype. No fluff.

Top 10 Stanford's Courses on AI & ML. If you want to learn AI the right way, start here. No shortcuts. No hype. No fluff.

This 115-page book unlocks the secrets of LLM fine tuning.

This 115-page book unlocks the secrets of LLM fine tuning.

GLM-5.2 is the strongest open model to date. Can you really run GLM 5.2 locally? GLM 5.2 has 744B params (40B active) and a 1M context window. The 2 bit model retains ~82% accuracy after being shrunk from 1.51TB to 238GB an ~84% reduction in size Run on a 256GB Mac or RAM/VRAM setups

GLM-5.2 is the strongest open model to date. Can you really run GLM 5.2 locally? GLM 5.2 has 744B params (40B active) and a 1M context window. The 2 bit model retains ~82% accuracy after being shrunk from 1.51TB to 238GB an ~84% reduction in size Run on a 256GB Mac or RAM/VRAM setups

The best site on the internet for Harness Engineering, completely free. The better the harness, the better the agent. AI coding agents are powerful but without the right controls. > they can be inconsistent > make mistakes > struggle with larger tasks That is where Harness Engineering comes in.

The best site on the internet for Harness Engineering, completely free. The better the harness, the better the agent. AI coding agents are powerful but without the right controls. > they can be inconsistent > make mistakes > struggle with larger tasks That is where Harness Engineering comes in.

Stanford AI, ML, and math cheatsheets. Github (900+ stars): github.com/analyticalro... ➟ Artificial Intelligence ➟ Transformers and LLMs ➟ Machine Learning ➟ Deep Learning ➟ Probabilities & Statistics ➟ Algebra & Calculus

Stanford AI, ML, and math cheatsheets. Github (900+ stars): github.com/analyticalro... ➟ Artificial Intelligence ➟ Transformers and LLMs ➟ Machine Learning ➟ Deep Learning ➟ Probabilities & Statistics ➟ Algebra & Calculus

AI Engineering from Scratch. 503 lessons. 20 phases. 320 hours.

AI Engineering from Scratch. 503 lessons. 20 phases. 320 hours.

Mastering these NLP papers places you in the top 1% in AI. The MOST Influential: GPT, BERT, Attention, DeepSeek. - Word2Vec - BERT - GPT-2 - GPT-3 - Attention is All You Need - Mixture of Experts (MOE) - DeepSeekMath (with GRPO)

Mastering these NLP papers places you in the top 1% in AI. The MOST Influential: GPT, BERT, Attention, DeepSeek. - Word2Vec - BERT - GPT-2 - GPT-3 - Attention is All You Need - Mixture of Experts (MOE) - DeepSeekMath (with GRPO)

PyTorch Fundamentals: Your First Steps into Hands-on Deep Learning. Github (900+ stars): github.com/analyticalro... Introduction to PyTorch fundamentals, covering tensor initialization, operations, indexing, and reshaping.

PyTorch Fundamentals: Your First Steps into Hands-on Deep Learning. Github (900+ stars): github.com/analyticalro... Introduction to PyTorch fundamentals, covering tensor initialization, operations, indexing, and reshaping.