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The Secret to ChatGPT's "Memory" Revealed

This video dives deep into the concept of context windows in large language models like ChatGPT. Understand how context windows shape AI's ability to "remember," process large amounts of text, and provide context-aware responses. Explore how these models handle token limits, balance memory, and deliver accurate outputs in various scenarios. Course Link HERE: https://sds.courses/genAI You can also find us here: Website: https://www.superdatascience.com/ Facebook:   / superdatascience   Twitter:   / superdatasci   LinkedIn:   / superdatascience   Contact us at: [email protected] Chapters: Chapters: 00:00 Introduction to Context Windows 00:31 What is a Context Window? 01:06 Context Windows in Conversations 01:40 Token Limits and Context Memory 02:11 How AI Forgets: Beyond the Context Window 02:43 Token Overload and Its Impact 03:19 Real-World Demonstration of Context Effects 03:55 How Prior Prompts Shape Responses 04:35 Context Awareness in Action 05:06 Token Processing Explained 05:42 Understanding Context-Aware Vector Representations 06:11 Why Context Size Matters for Discussions 06:39 Leveraging Context for Better Conversations 07:00 Conclusion and Next Steps #AI #ContextWindows #ChatGPT #MachineLearning #AIExplained #LargeLanguageModels #TechTutorial #DeepLearning #AIContext #NaturalLanguageProcessing #TokenProcessing #AIConversations #AITraining #EfficiencyInAI #AIModels This video is about how context windows work in large language models, focusing on their role in processing and generating text. Key points include: What is a Context Window?: Explains the token limit and how it affects memory and context retention. How AI Balances Memory and Forgetting: Discusses how tokens beyond the window are "forgotten" and not used in processing. Token Limits and Conversations: Shows the effect of context on generating accurate responses across multiple prompts. Real-World Demonstration: Two examples demonstrate how context affects outputs in a conversational setting. Context-Aware Vector Representations: Details the iterative process of token prediction based on past context. Optimizing Context Windows: Tips on leveraging the context window for coherent and informative discussions. Explore the mechanics behind AI's "memory" and how you can make the most of these powerful tools in your projects!