LLM Foundations
Understand how large language models work — tokens, context windows, and inference.
0%
Confidence · no data yet
After this skill you can…
- Explain how transformers generate text
- Understand tokenisation and context limits
- Compare GPT-4, Claude, Gemini, Llama capabilities
Watch (10 videos)
Getting Started with Vertex AI Gemini 1.5 Flash
→ Build a Generative AI model with Vertex AI→ Deploy AI models on Google Cloud
I TRAINED AN AI TO SOLVE 2+2 (w/ Live Coding)
→ Train an AI model with live coding→ Solve basic math problems with AI
Stanford CS336 Language Modeling from Scratch | Spring 2025 | Lecture 6: Kernels, Triton
→ Build language models from scratch→ Use Kernels and Triton for language modeling
Run Any AI LOCALLY for FREE Forever! [100% Beginner Tutorial]
→ Run AI models locally→ Set up DeepSeek 1.5B on a computer
Use Jupyter notebooks in VS Code!
→ Use Jupyter notebooks in VS Code→ Develop LLMs with VS Code
Claude works with you on slides, spreadsheets, and contract redlines
→ Use Claude for slide creation→ Automate spreadsheet tasks with Claude→ Redline contracts with Claude
End To End LLM Conversational Q&A Chatbot With Deployment
→ Build a conversational Q&A chatbot with LLM→ Deploy a chatbot using Langchain
Building a PDF Translation App with ChatGPT
→ Build a PDF translator with ChatGPT→ Use the ChatGPT API for NLP tasks
Preprocessing sentence pairs (PyTorch)
→ Preprocess sentence pairs→ Use PyTorch for text classification
ChatGPT Just Replaced PowerPoint (Here’s How)
→ Create presentations using ChatGPT→ Automate tasks with LLMs
DeepCamp AI