AI Terminology Part 2 Beginner's Guide

AI Terminology Part 2: Beginner's Guide Continuing from our previous episode on AI basics, this video delves deeper into how AI systems, particularly large language models, work. Key topics covered include machine learning, deep learning with neural networks, the role of parameters and model weights, fine-tuning, reinforcement learning, RAG (retrieval augmented generation), and embeddings. This comprehensive guide aims to demystify these advanced concepts to help beginners understand AI better. Don't forget to watch part 1 if you haven't already and stay tuned for more advanced topics in the next episode. 00:00 Introduction and Purpose 00:12 Recap of Previous Video 00:24 Understanding Machine Learning 00:56 Deep Learning and Neural Networks 01:27 Model Parameters and Weights 02:13 Fine-Tuning and Reinforcement Learning 03:06 Retrieval Augmented Generation (RAG) 04:15 Embeddings and Language Understanding 04:50 Conclusion and Next Steps For more AI tutorials and guides: 🗓️ Book a Call: https://cal.com/jeredblu 🌐 Website: https://jeredblu.com 💻 GitHub: https://github.com/JeredBlu #AI #ArtificialIntelligence #AITutorial #LearnAI #AITerminology #ChatGPT #Claude #gemini #openai #aibasics #rag #MachineLearning