AI

Foundations

• Machine Learning — Supervised, unsupervised, reinforcement learning
• LLMs — Large language models, transformers, attention
• Embeddings — Vector representations, semantic similarity
• Multimodal AI — Vision, audio, and cross-modal models

LLM Techniques

• Prompt Engineering — Techniques for effective model interaction
• RAG — Retrieval-Augmented Generation
• Fine-tuning — LoRA, QLoRA, and adapting models to domains
• AI Agents — Autonomous systems, tool use, and multi-agent patterns

Infrastructure

• Model Serving — Inference, quantisation, deployment
• Vector Databases — Storage and retrieval for embeddings
• Evaluation & Benchmarking — Measuring model performance

Models & Providers

• Foundation Models — Commercial and open-source LLMs

Safety & Ethics

• AI Safety — Alignment, hallucinations, responsible development

Tools

Agentic Coding

• OpenCode — Can use many providers and models
• Claude Code
• Codex CLI
• Gemini CLI
• Jules
• Devin
• Getting Good Results from Claude Code

TTS / STT

• Cartesia Sonic
• Deepgram
• Vapi
• Pocket TTS
• ElevenLabs
• OpenAI Whisper

Search

• SearXNG
• Tavily
• Perplexity
• Exa