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

udlbook.github.io/udlbook/

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

you can now literally train Gemma 4 with reinforcement Learning (GRPO) in google colab.

colab.research.google.com/github/unslo...

Goal is to make Gemma 4 learn to solve Sudoku puzzles using reinforcement learning (GRPO). The model will fill in empty cells, and get reward for correct placements and completing valid puzzles.

you can now literally train Gemma 4 with reinforcement Learning (GRPO) in google colab.

colab.research.google.com/github/unslo...

RAG From Scratch ✅
Crips and to the point videos by LangChain.
One of the best Youtube Playlist...

Master RAG step by step:
> with clear explanations
> and hands-on code

RAG From Scratch - YouTube Retrieval augmented generation (or RAG) is a general methodology for connecting LLMs with external data sources. This video series will build up an understan...

Here’s the playlist: www.youtube.com/playlist?lis...

RAG From Scratch ✅
Crips and to the point videos by LangChain.
One of the best Youtube Playlist...

Master RAG step by step:
> with clear explanations
> and hands-on code

Create an Agent from Scratch.

In pure python (no frameworks)

> Build an LLM agent from scratch in Python

> Using Hugging Face Inference Providers.

Intro to Agents - Create an Agent from Scratch (No Frameworks) YouTube video by Alejandro AO

Here's the video link: youtu.be/vHDwpoSFdQY?...

Create an Agent from Scratch.

In pure python (no frameworks)

> Build an LLM agent from scratch in Python

> Using Hugging Face Inference Providers.

This 230-page book unlocks the secrets of LLMs

Master LLMs step by step:
> with clear explanations of core concepts
> pre-training, fine-tuning and human alignment

drive.google.com/file/d/1ZqV0...

This 230-page book unlocks the secrets of LLMs

Master LLMs step by step:
> with clear explanations of core concepts
> pre-training, fine-tuning and human alignment

GitHub - analyticalrohit/pytorch_fundamentals: Introduction to PyTorch, covering tensor initialization, operations, indexing, and reshaping. Introduction to PyTorch, covering tensor initialization, operations, indexing, and reshaping. - analyticalrohit/pytorch_fundamentals

github.com/analyticalro...

GitHub - analyticalrohit/pytorch_fundamentals: Introduction to PyTorch, covering tensor initialization, operations, indexing, and reshaping. Introduction to PyTorch, covering tensor initialization, operations, indexing, and reshaping. - analyticalrohit/pytorch_fundamentals

Master the PyTorch fundamentals step by step:
> with clear explanations
> hands-on code

GitHub repo (800+ stars): github.com/analyticalro...

90% of deep learning projects start with PyTorch.
But most beginners get stuck because:
> they skip the basics
> jump straight into building models

GitHub - analyticalrohit/pytorch_fundamentals: Introduction to PyTorch, covering tensor initialization, operations, indexing, and reshaping. Introduction to PyTorch, covering tensor initialization, operations, indexing, and reshaping. - analyticalrohit/pytorch_fundamentals

Master the PyTorch fundamentals step by step:
> with clear explanations
> hands-on code

GitHub repo (800+ stars): github.com/analyticalro...

90% of deep learning projects start with PyTorch.
But most beginners get stuck because:
> they skip the basics
> jump straight into building models

The MOST Influential papers in NLP ✅
GPT, BERT, Attention, DeepSeek...
(Don't miss these papers)

Natural Language Processing - YouTube

www.youtube.com/playlist?lis...

The MOST Influential papers in NLP ✅
GPT, BERT, Attention, DeepSeek...
(Don't miss these papers)

Best LLMs cheatsheet you’ll ever find ✅

Covers concepts, finetuning, evaluations...

drive.google.com/file/d/1J6aN...

Best LLMs cheatsheet you’ll ever find ✅

Covers concepts, finetuning, evaluations...

This 54-page PDF unlocks the secrets of AI Agents.

5 Agentic Levels. Agents introduced beautifully.
> Model -> The "Brain"
> Tools -> The "Hands"
> Orchestration Layer -> The "Nervous System"
> Deployment -> The "Body and Legs"

drive.google.com/file/d/1OXKx...

This 54-page PDF unlocks the secrets of AI Agents.

5 Agentic Levels. Agents introduced beautifully.
> Model -> The "Brain"
> Tools -> The "Hands"
> Orchestration Layer -> The "Nervous System"
> Deployment -> The "Body and Legs"

We’re all building AI agents.
But how are we measuring them?
Anthropic has answers.

drive.google.com/file/d/1qbwB...

We’re all building AI agents.
But how are we measuring them?
Anthropic has answers.