Decoding GPTs & LLMs: Training, Memory & Advanced Architectures Explained

Decoding GPTs & LLMs: Training, Memory & Advanced Architectures Explainedhttps://youtu.be/kPocbr95--Y 🤖🚀 Dive deep into the world of AI as we explore 'GPTs and LLMs: Pre-Training, Fine-Tuning, Memory, and More!' Understand the intricacies of how these AI models learn through pre-training and fine-tuning, their operational scope within a context window, and the intriguing aspect of their lack of long-term memory.🧠 In this video, we demystify:Pre-Training & Fine-Tuning Methods: Learn how GPTs and LLMs are trained on vast datasets to grasp language patterns and how fine-tuning tailors them for specific tasks.Context Window in AI: Explore the concept of the context window, which acts as a short-term memory for LLMs, influencing how they process and respond to information.Lack of Long-Term Memory: Understand the limitations of GPTs and LLMs in retaining information over extended periods and how this impacts their functionality.Database-Querying Architectures: Discover how some advanced AI models interact with external databases to enhance information retrieval and processing.PDF Apps & Real-Time Fine-TuningDrop your questions and thoughts in the comments below and let's discuss the future of AI! #GPTsExplained #LLMs #AITraining #MachineLearning #AIContextWindow #AILongTermMemory #AIDatabases #PDFAppsAI"Subscribe for weekly updates and deep dives into artificial intelligence innovations.✅ Don't forget to Like, Comment, and Share this video to support our content.📌 Check out our playlist for more AI insights📖 Read along with the podcast: Transcript📢 Advertise with us and Sponsorship OpportunitiesAre you eager to expand your understanding of artificial intelligence? Look no further than the essential book "AI Unraveled: Demystifying Frequently Asked Questions on Artificial Intelligence," available at Etsy, Shopify, Apple, Google, or Amazon

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