How to Evaluate (and Improve) Your LLM Apps Share: Download MP3 Similar Tracks Model Context Protocol (MCP) Explained in 20 Minutes Shaw Talebi Fine-tuning Large Language Models (LLMs) | w/ Example Code Shaw Talebi From Zero to Your First AI Agent in 25 Minutes (No Coding) Futurepedia RAG vs. CAG: Solving Knowledge Gaps in AI Models IBM Technology GraphRAG: The Marriage of Knowledge Graphs and RAG: Emil Eifrem AI Engineer How to evaluate an LLM-powered RAG application automatically. Underfitted Fine-Tuning Text Embeddings For Domain-specific Search (w/ Python) Shaw Talebi Quantization vs Pruning vs Distillation: Optimizing NNs for Inference Efficient NLP How to Train LLMs to "Think" (o1 & DeepSeek-R1) Shaw Talebi How To Get The Most Out Of Vibe Coding | Startup School Y Combinator An Introduction to AI Agents (for 2025) Shaw Talebi MCP vs API: Simplifying AI Agent Integration with External Data IBM Technology Fine-tuning LLMs on Human Feedback (RLHF + DPO) Shaw Talebi How to Improve LLMs with Tools (ft. OpenAI Agents SDK) Shaw Talebi AI Show: On Demand | LLM Evaluations in Azure AI Studio The AI Show RAG vs Fine-Tuning vs Prompt Engineering: Optimizing AI Models IBM Technology Make AI Think Like YOU: A Guide to LLM Alignment Adam Lucek AI Essentials for Entrepreneurs (in 17 Minutes) Shaw Talebi Fine-tuning Multimodal Embeddings on Custom Text-Image Pairs Shaw Talebi Vibe Coding Fundamentals In 33 minutes Tina Huang
