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GPT-4o Mini First Impressions: Fast, Cheap, & Dang Good. 3 месяца назад


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GPT-4o Mini First Impressions: Fast, Cheap, & Dang Good.

GPT-4o mini is OpenAI's latest small AI model, designed to offer improved performance and cost-efficiency. It outperforms other leading small models on reasoning tasks, scoring 82% on the MMLU benchmark. Priced at 15 cents per million input tokens and 60 cents per million output tokens, it's more than 60% cheaper than GPT-3.5 Turbo. With a 128,000 token context window and support for text and vision tasks, GPT-4o mini aims to provide developers and businesses with a more affordable option for high-volume, simple AI tasks while maintaining high-quality outputs. ▼ Link(s) From Today’s Video: GPT4o mini blog post: https://openai.com/index/gpt-4o-mini-... ChatGPT: https://chatgpt.com/ Open AI Playground: https://platform.openai.com/playground Tibor's twitter post:   / 1812773278311702554   ► MattVidPro Discord:   / discord   ► Follow Me on Twitter:   / mattvidpro   ► Buy me a Coffee! https://buymeacoffee.com/mattvidpro ------------------------------------------------- ▼ Extra Links of Interest: AI LINKS MASTER LIST: https://www.futurepedia.io/ General AI Playlist:    • General MattVidPro AI Playlist   AI I use to edit videos: https://www.descript.com/?lmref=nA4fDg Instagram: instagram.com/mattvidpro Tiktok: tiktok.com/@mattvidpro Second Channel:    / @matt_pie   Let's work together! For brand & sponsorship inquiries: https://tally.so/r/3xdz4E For all other business inquiries: [email protected] Thanks for watching Matt Video Productions! I make all sorts of videos here on Youtube! Technology, Tutorials, and Reviews! Enjoy Your stay here, and subscribe! All Suggestions, Thoughts And Comments Are Greatly Appreciated… Because I Actually Read Them. 0:00 Introduction to GPT-4.0 Mini 0:30 Discovery and Announcement of GPT-4.0 Mini 1:00 Key Features of GPT-4.0 Mini 2:30 Benchmarks and Comparisons 3:30 Updates on Other OpenAI Projects 4:30 First Impressions and Testing 7:00 Image Recognition Capabilities 10:00 Model Comparison and Self-awareness Test 11:30 Conclusion and Future Expectations 12:00 Closing Remarks

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