week 6 - Understanding Large Language Models (LLMs) & Transformers: The Future of AI скачать в хорошем качестве

week 6 - Understanding Large Language Models (LLMs) & Transformers: The Future of AI

Are you curious about how AI-powered Large Language Models (LLMs) like GPT and BERT work? In this video, we break down the fundamentals of Transformer Models, explaining key concepts such as tokens, attention mechanisms, and autoregressive vs. autoencoding models. We cover: ✅ What are Transformer models and why they are revolutionary ✅ The difference between Autoencoding (BERT) vs. Autoregressive (GPT) models ✅ How attention mechanisms like Flash Attention & Sparse Attention improve AI efficiency ✅ The role of tokenization and probability-based predictions in text generation Join us as we dive deep into the architecture and mechanics behind LLMs that power modern AI applications. 🔔 Don’t forget to LIKE & SUBSCRIBE for more AI and machine learning insights! #AI #MachineLearning #LLM #Transformer #DeepLearning #GPT #BERT #NeuralNetworks