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1 year ago
HUGE Thanks to Brilliant for Sponsoring Today's video! Check em out here: https://brilliant.org/MattVidProAI/
In this episode, I get into the recent controversy around the Reflection 70B model fine-tuned by Matt Schumer. Initially claimed to be the world's top open source model, it severely underperformed, sparking controversy when it was discovered that the API provided might have been a wrapper for Claude 3.5 Sonnet. Despite community distrust and allegations of deception, the real Reflection 70B model is now available for testing. I explore the performance differences between fine-tuning and system prompting, using detailed examples. Through this investigation, I aim to uncover the true efficacy of Reflection 70B, the implications for AI development, and how we should rethink our AI benchmarking methods.
▼ Link(s) From Today’s Video:
Reflection: https://app.hyperbolic.xyz/models/reflection-70b
https://huggingface.co/mattshumer/Reflection-Llama-3.1-70B
Reddit API Digging: https://www.reddit.com/r/LocalLLaMA/comments/1fc98fu/confirmed_reflection_70bs_official_api_is_sonnet/
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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!
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00:00 Introduction and Frustration
00:07 The Controversial Release of Reflection 70B
00:52 Community Reactions and Issues
02:00 Background on Matt Schumer and HyperWrite AI
05:14 Testing the Model and Initial Impressions
05:38 Sponsor Message: Brilliant
07:24 Deep Dive into Model Performance
16:52 Reflection on the AI Community and Future Directions
21:05 Concluding Thoughts and Call to Action
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