Reflection 70B (Fully Tested) : This Opensource LLM beats Claude 3.5 Sonnet & GPT-4O?
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In this video, I'll be fully testing the Reflection 70B model which is a Reflection Technique based Fine-tune Versions of Llama-3.1 70b to check if it's really good. It is fully opensource and I'll also be trying to find out if it can really beat Llama-3.1 (405B), Claude 3.5 Sonnet, GPT-4O, DeepSeek & Qwen-2. This model is fully free and can be used for FREE. It is even better in Coding Tasks and is also really good at doing Text-To-Application, Text-To-Frontend and other things as well. I'll be testing it to find out if it can really beat other LLMs and i'll also be telling you that how you can use it for free.
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Key Takeaways:
🔥 Llama-3.1 vs. Claude 3.5 Sonnet: The new Llama-3.1 fine-tuned model claims to surpass Claude 3.5 Sonnet and many other open-source AI models!
🤖 Reflection-Tuning Explained: Learn about Reflection-Tuning, the breakthrough technique that trains LLMs to detect and correct their own mistakes!
📊 Benchmark Breakdown: See how Reflection 70B outperforms other AI models in almost every benchmark—but is it trustworthy?
💰 High Inference Costs: While Reflection 70B delivers advanced reasoning, its token generation could skyrocket costs compared to other AI language models like GPT-4 and Claude.
⚠️ Testing Reflection 70B: Watch as we put Reflection 70B to the test with tough logic and coding questions—will it hold up?
💡 Practical Limitations: Despite its power, the high-cost Reflection 70B model may not be as practical as running a more efficient 7B AI model.
🔧 Deep Dive into Coding Tasks: From Python scripts to HTML and CSS, see where Reflection 70B shines and where it struggles.
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Timestamps:
00:00 - Introduction
00:07 - About Reflection 70B
02:43 - Testing
07:51- Conclusion
09:27 - Ending
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