Videos de generative ai tutorial
Videos etiquetados con "generative ai tutorial"
generative ai tutorial 2 videos
How LLMs Understand your Prompts: Tokenization & Embeddings | Chapter 05
What are vector embeddings and tokenization, and how do they let an LLM understand meaning? This video explains tokenization, embeddings, vector dimensions, cosine similarity and positional embeddings - with a hands-on coding demo. ===== In this video, you will learn ===== • What tokenization is and the main types of tokenizers (incl. Byte Pair Encoding) • What vector embeddings are, and what vectors & dimensions actually mean • How an LLM captures meaning using embeddings • How cosine similarity measures how "close" two pieces of text are • Positional embeddings - how models know word order • A hands-on Python demo: tokenizer + embeddings in code This is Part 5 of the GenAI Fundamentals series - for data engineers, developers, and anyone learning how AI language models actually work. ===== Chapters ===== 00:00 - Introduction 00:32 - What is Tokenization and Vector Embeddings? 03:41 - What are Vectors and Dimensions? 06:37 - Why Vectors matter for LLMs? 07:59 - How meaning is captured using Embedding? 12:30 - What is Cosine Similarity? 14:08 - Types of Tokenizers 17:50 - (Hands on) Coding for Tokenizer and Embeddings 26:48 - What are Positional Embeddings? ===== Links ===== Google's "Attention is all You Need" Paper - https://arxiv.org/pdf/1706.03762 Groq Cloud - https://console.groq.com/home GPT Tokenizer - https://platform.openai.com/tokenizer Google Collab - https://colab.research.google.com/ Byte Pair Encoding (BPE) - https://www.geeksforgeeks.org/nlp/byte-pair-encoding-bpe-in-nlp/ Github Code - https://github.com/subhamkharwal/genai-for-data-engineers/blob/master/codes/genai_chap05.ipynb ===== Other Playlists ===== Checkout all other playlists on Data Engineering 👇🏻 https://www.youtube.com/@easewithdata/playlists ===== GitHub Repo ===== https://github.com/subhamkharwal https://github.com/subhamkharwal/genai-for-data-engineers ===== Connect with ME ===== LinkedIn - https://www.linkedin.com/in/subhamkharwal Medium - https://subhamkharwal.medium.com ===== Hashtags ===== #VectorEmbeddings #Tokenization #LLM #GenerativeAI #genai #dataengineering #python #neuralnetworks #machinelearning
Generative AI Basics (2026) | How AI Creates Images, Videos & Code
📚Generative AI — AI That Creates | generative ai basics | generative ai tutorial | generative ai for beginners | generative ai course | generative ai examples | generative ai tools | generative ai applications | generative ai explained | generative ai models | generative ai use cases 👉 Welcome to Episode 5 of AI From Zero to Hero — Generative AI explained in simple terms. Learn how Generative AI creates images, videos, music, and code from text prompts. Understand how ChatGPT and large language models work using next-word prediction. Explore AI tools like DALL·E, Midjourney, Stable Diffusion, and Sora. Discover diffusion models and how AI generates realistic images from noise. Master prompt engineering to get better AI results and improve productivity. See how GitHub Copilot helps developers and IT admins write code faster. Learn real-world AI use cases in marketing, content creation, and automation. Understand risks like deepfakes, voice cloning, and AI ethics. Perfect beginner guide to Generative AI, AI tools, and future technology trends. 🏷️ Tags #ChanderManiPandey #GenerativeAI #GenerativeAIBasics #GenerativeAITutorial #GenerativeAIForBeginners #GenerativeAICourse #GenerativeAIExamples #GenerativeAITools #GenerativeAIApplications #GenerativeAIExplained #GenerativeAIModels