1 -Course Overview (48.58 MB) 1 -What is Artificial intelligence (AI) (36.95 MB) 2 -What are LLMs like ChatGPT, Claude, Gemini, Llama, etc & how they work (183.07 MB) 1 -The Interfaces of LLMs and some tricks for ChatGPT, Claude, Gemini, Ollama (78.23 MB) 2 -What LLMs Can Do Text, Code, Function Calling & more (84.58 MB) 3 -Prompt Engineering for LLMs Structured Prompts & Role Prompting (155.93 MB) 4 -More Prompt Engineering Tips Take a Deep Breath for the Shot Prompting (134.32 MB) 5 -Customizing LLMs with System Prompts & RAG (Retrieval-Augmented Generation) (83.93 MB) 6 -Perplexity and Huggingchat (5.35 MB) 7 -Developers Can Use LLMs via API The OpenAI API (77.53 MB) 8 -Recap What You Learned About LLMs (66.13 MB) 1 -The Diffusion Model Explained Fast and Simple (75.64 MB) 2 -Prompt Engineering for Diffusion Models Starting with DALL-E (88.38 MB) 3 -Midjourney Basics Creating and Editing of Images (137.54 MB) 4 -Ideogram and Adobe Firefly Quality Text and Easy Editing (119.52 MB) 5 -Open-Source Models Stable Diffusion, Flux, Recraft, and More (178.26 MB) 6 -Recap of Picture Generation with Diffusion Models (34.14 MB) 1 -Text-to-Video & Image-to-Video with Kling, Runway, Pikalabs & more (231.34 MB) 2 -Text to speach (AI Voices) with ElevenLabs & more (215.43 MB) 3 -Transcribing with Whisper Locally & OpenAI API (29.33 MB) 4 -Generating AI Music with Udio (84.09 MB) 1 -What's Next (81.9 MB)
