VideosLearn & research
Deep Dive into LLMs like ChatGPT
Andrej Karpathy explains language-model training and behavior for a general audience.
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VideosLearn & research
Transformers, the tech behind LLMs | Deep Learning Chapter 5
A visual introduction to transformer structure, tokens and word embeddings by 3Blue1Brown.
VideosLearn & research
But what is a neural network?
3Blue1Brown explains layers, activations and weights through a network that recognizes handwritten digits.
VideosWork smarter
Check ChatGPT before trusting an Excel analysis
Leila Gharani uses a messy workbook to explain guardrails, basic checks and reconciliation.
VideosWork smarter
NotebookLM: turn sources into a useful briefing
Jeff Su connects source selection, focused questions and Studio outputs in a March 2026 walkthrough.
VideosBuild with AI
Hugging Face: tools and handoffs with Agents SDK
Follow a Python introduction to tools, structured output and agent coordination.
VideosWork smarter
Gamma’s lesson on choosing a presentation starting point
An introductory lesson on using a topic, existing notes, files or a template to begin a presentation.
VideosBuild with AI
Microsoft AI Red Teaming 101: prompt injection and evaluation
An original Microsoft Developer course on direct and indirect prompt injection, mitigations and automated red teaming with PyRIT.
VideosBuild with AI
Ollama in an application: connect the local model
IBM Technology introduces local inference through an application example. Read the linked project prerequisites before treating the demonstration as a setup recipe.
VideosBuild with AI
Building agents: workflows and tool calls
Anthropic explains when agent autonomy helps and why clear tools matter.
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n8n: build a chat agent with memory
Follow the chat-to-memory workflow, then check how earlier messages reach a follow-up request.
VideosLearn & research
Language models: prediction, training and context
3Blue1Brown gives a compact introduction to how language models generate text and learn patterns.
VideosLearn & research
Robotics training in Colab: Trossen’s LeRobot video walkthrough
A six-minute robotics training introduction with an exact-video creator companion; the 2024 commands need version checks.
VideosLearn & research
Practical LLMs: useful tools and failure modes
Simon Willison discusses prompting, data extraction and model limitations in his PyCon US 2024 keynote.
VideosLearn & research
Attention in transformers: queries, keys and context
3Blue1Brown explains how attention updates token representations using surrounding words.
VideosBuild with AI
LangGraph: connect agents through shared state
Compare shared-message collaboration, supervisors and nested agent teams.
VideosLearn & research
IBM explains RAG: what retrieval adds to an AI answer
Marina Danilevsky introduces RAG; the linked IBM Research companion explains retrieval, generation, and source checking.
VideosWork smarter
Build a clearer prompt with six components
Use Jeff Su’s six-part checklist to turn a vague request into an explicit task and output.
VideosLearn & research
Backpropagation: tracing the training signal backward
3Blue1Brown explains how training examples influence weights and biases across a neural network.
VideosLearn & research
Gradient descent: what model training changes
3Blue1Brown connects classification errors with changes to a neural network’s weights and biases.