Qwen 2: The New LLM Leader? Outperforming GPT-4 Turbo

Discover the ground breaking capabilities of Qwen 2, the latest large language model from Alibaba Cloud's . With five different sizes, including a 72 billion parameter model, Qwen 2 outshines Llama 3 and offers stiff competition to GPT-4 Turbo in benchmarks like MMLU and MMLU Pro. Learn how Qwen 2 is revolutionizing the AI landscape with extended context lengths, dual chunk attention, and support for multiple languages. Is it the new benchmark leader? Watch to find out!
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Introduction to Qwen 2
Benchmark Performance: Qwen 2 vs. Llama 3 and GPT-4 Turbo
Significance of MMLU Pro
Model Sizes and Context Lengths
Training and Fine-Tuning Details
Language and Multilingual Support
Detailed Benchmark Analysis
Censorship and Ethical Considerations
Licensing and Future Models
Conclusion and Future Plans
Hashtags:
#Qwen2 #AI #MachineLearning #AlibabaCloud #LanguageModel #GPT4Turbo #Llama3 #ArtificialIntelligence #MMLU #TechReview #AIResearch #NewTechnology
Additional Information:
In this video, we delve into the specifics of Qwen 2's architecture, its benchmark performance, and the advancements it brings to the table. With an impressive score of 64.4% on MMLU Pro, Qwen 2 stands out in the competitive AI field. We'll explore its unique features, such as dual chunk attention and extensive multilingual capabilities, as well as its implications for the future of AI. Don't forget to like, subscribe, and hit the notification bell for more updates on the latest in AI technology!
Blog: qwenlm.github.io/blog/qwen2/
Follow on Twitter: x.com/digi_decode

[@figs3284]

The license for qianwen on the 70b is basically the same as llama 3. 100million users then you have to reach out to them for license.

[@dylantkl]

Thanks for pointing this out. Useful information.

[@janardhan6752]

Cool 128 k context length

[@avi7278]

ah a chinese model finally figured out how to game the benchmarks

[@chongyayayayayayayayaya]

sour

[@avi7278]

@@chongyayayayayayayayaya ok kim

[@chongyayayayayayayayaya]

@@avi7278 still sour

[@strikeforcealpha9343]

To many guardrails, and shit.

[@DigiDecode]

There is a dolphin version of Qwen 2, which is uncensored and actually scores higher on some benchmarks