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Together MoA is a really interesting approach based on open source models!
Together MoA is a really interesting approach based on open source models!
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"We introduce Mixture of Agents (MoA), an approach to harness the collective strengths of multiple LLMs to improve state-of-the-art quality. And we provide a reference implementation, Together MoA, which leverages several open-source LLM agents to achieve a score of 65.1% on AlpacaEval 2.0, surpassing prior leader GPT-4o (57.5%)."
"We introduce Mixture of Agents (MoA), an approach to harness the collective strengths of multiple LLMs to improve state-of-the-art quality. And we provide a reference implementation, Together MoA, which leverages several open-source LLM agents to achieve a score of 65.1% on AlpacaEval 2.0, surpassing prior leader GPT-4o (57.5%)."
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Read more here: 
Read more here: 
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https://www.together.ai/blog/together-moa
https://www.together.ai/blog/together-moa
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PS: they provide some demo code: (
PS: they provide some demo code: (
link
https://github.com/togethercomputer/MoA/blob/main/bot.py
https://github.com/togethercomputer/MoA/blob/main/bot.py
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) - if someone release a Space for it it could go 🚀
) - if someone release a Space for it it could go 🚀
Together MoA is a really interesting approach based on open source models!

"We introduce Mixture of Agents (MoA), an approach to harness the collective strengths of multiple LLMs to improve state-of-the-art quality. And we provide a reference implementation, Together MoA, which leverages several open-source LLM agents to achieve a score of 65.1% on AlpacaEval 2.0, surpassing prior leader GPT-4o (57.5%)."

Read more here: https://www.together.ai/blog/together-moa

PS: they provide some demo code: (https://github.com/togethercomputer/MoA/blob/main/bot.py) - if someone release a Space for it it could go 🚀
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