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🔍 Deep Research in ChatGPT: A Game-Changing AI Feature Discover how ChatGPT's Deep Research capability revolutionizes online research and information gathering! This video breaks down the powerful new feature that combines internet search, analysis, and comprehensive reporting. Massed compute: https://bit.ly/mervin-praison Coupon: MervinPraison (50% Discount on Selected GPU) 🎯 What You'll Learn: How to use Deep Research in your ChatGPT window Understanding the advanced question-refinement process How the system compiles detailed research reports Comparison with other AI models (Deep Seek R1, Mini High) 📊 Key Performance Metrics: Accuracy: 26.6% (compared to Deep Seek R1 9.4% and Mini High 13.0%) Improved pass rates with increased tool calls Enhanced internet search capabilities 🔧 Technical Overview: Fine-tuned with reinforcement learning Advanced browsing and reasoning capabilities Tool integration for file browsing and graph plotting Ability to cite specific passages and embed images 💡 Features Covered: Automated research planning Internet search integration Graph generation Image embedding Passage citation Comprehensive report compilation 🔬 Example Use Cases: Basic vs Deep Research comparisons Needle in a haystack tests Chemistry applications Linguistic analysis Healthcare research 🚀 Open Source Implementation: Available code for similar functionality Integration with self-reflection AI agents Compatible with Praison AI #ArtificialIntelligence #ChatGPT #DeepResearch #AITechnology #MachineLearning #TechNews #Programming #DataScience #Research #Innovation Timestamp: 0:00 - Introduction to OpenAI's Deep Research 0:24 - Research Process Breakdown 0:49 - Accuracy Comparison with Other Models 1:10 - Tool Calls and Pass Rate Explanation 1:24 - How Deep Research Works (Fine-tuning & Tools) 2:00 - GPT-4 vs Deep Research Examples 2:40 - Task Difficulty Levels Overview 2:53 - Industry-specific Examples 3:02 - Open Source Implementation 3:29 - Video Conclusion