Wow. Anthropic just curated an impressive collection of use cases for Claude 🤯 You already get 39 deep guides and more get added weekly. It’s also free and definitely worth bookmarking. (link below)

BREAKING: I stopped wasting hours reading textbooks cover to cover. NotebookLM now teaches me directly from PDFs and notes. Here are 9 prompts that turned documents into lessons:

this prompt will guide you through building your first AI Agent:

It is dangerously easy to build a neural network today without actually understanding how it works. We live in an era of 'import torch'. You can train a model in three lines of code, but the moment you need to debug a collapsing loss function or a vanishing gradient, syntax

👉 The Incredible Pytorch This repository has a collection of best tutorials, projects, libraries, videos, papers, books and anything related to the incredible PyTorch. github.com/ritchieng/the-…

If you're looking for a comprehensive guide to LLM finetuning, check this! a free 115-page book on arxiv, covering: > fundamentals of LLM > peft (lora, qlora, dora, hft) > alignment methods (ppo, dpo, grpo) > mixture of experts (MoE) > 7-stage fine-tuning pipeline > multimodal

> I don’t understand why people are still paying in dollars to learn LLMs. > these 9 lectures from Stanford are a pure goldmine for anyone wanting to understand LLMs in depth.

👉 Applied Machine Learning by Cornell Tech Learn some of the most widely used techniques in ML: Optimization and Calculus Overfitting and Underfitting Regularization Monte Carlo Estimation and more

If you’re building with data and AI, now’s the time to tell the story. Call for Presentations for Data + AI Summit 2026 is open, and we’re looking for real-world solutions, lessons learned, and bold ideas from data engineers, AI pioneers, data scientists, analysts and

Data Engineering Zoomcamp starts in one week, on January 12. What you'll gain: 🔸 Hands-on data engineering training 🔸 Portfolio-worthy project 🔸 Certificate + Homework assignments and an amazing community of motivated learners! Sign up now: github.com/DataTalksClub/…

🆕 Claude Agent SDK [Full Workshop] youtube.com/watch?v=TqC1qO… For our first big drop of the year, excited to bring you Thariq's full 2 hour workshop covering all of Anthropic's agentic SDK (formerly known as Claude Code SDK). By far the most popular workshop of AIE CODE!

Our VideoRAG has been featured on GitHub Trending🚀. If you're working on video summarization, understanding, QA, or captioning challenges, this framework could be exactly what you need. To make the technology more accessible, we've developed Vimo 🖥️ - a desktop application that

These days, AI tools can do things like read messages, reason about them, and call functions on their own. And LangChain is a popular tool that lets you link language models, tools, and apps together. In this tutorial, Manish Shivanandhan helps you build and deploy your own AI agent

The Databricks Learning Festival is back! Complete a self-paced learning pathway in data engineering, analytics, machine learning, generative AI, Apache Spark™, data warehousing, and more. Finish all modules in at least one pathway to unlock: - 50% off a Databricks

We’ve seen some impressive use cases for Gemma 4 Here are a few of them 🧵