OpenAI API: Working with Vision - Examining Images using Chat Completion and Assistants

Get ready to revolutionize your AI projects with the power of sight! This in-depth guide explores OpenAI's Vision model, its applications, and how to seamlessly integrate it with both Chat Completions and Assistants.

We'll break down the intricacies of working with local and URL-based images, decode cost calculations, and empower you with hands-on Python code examples. Whether you're a seasoned AI developer or just starting your journey, this tutorial will provide the knowledge and practical skills to harness the potential of multimodal AI.

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Chapters:
00:00 Embark on Your Vision Journey
00:17 What We'll Cover: A Roadmap to Vision Mastery
00:39 Understanding the Vision Model: The Power of Sight in AI
02:33 Navigating Vision Limitations: Tips & Workarounds
04:09 Unveiling GPT-40 Vision Pricing: Cost-Effective Image Analysis
04:51 Calculating Costs: Demystifying Token Usage
08:59 Support the Channel! Like, Comment & Subscribe
10:59 Side Note: Stay Updated with AI News Fresh
11:01 Addressing Vision Limitations: Refining Your Approach
12:28 Vision with Chat Completions - URLs: Analyzing Images from the Web
14:17 Vision with Chat Completions - Base64 Images: Local Image Processing
16:47 Vision with Assistants - File Uploads: A Streamlined Approach
19:19 Vision with Assistants - Multiple Images: Scaling Up Image Analysis
21:17 Vision with Assistants - URLs: Seamless Integration for Web Images
22:51 Vision with Assistants - File Uploads: Analyzing Local Images
27:27 Vision with Assistants - Multiple Images: Power Up Your Assistants

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