Summary of Mixtral Of Experts, by Albert Q. Jiang et al.
Mixtral of Experts
by Albert Q. Jiang, Alexandre Sablayrolles, Antoine Roux, Arthur Mensch, Blanche Savary, Chris Bamford, Devendra Singh Chaplot, Diego de las Casas, Emma Bou Hanna, Florian Bressand, Gianna Lengyel, Guillaume Bour, Guillaume Lample, Lélio Renard Lavaud, Lucile Saulnier, Marie-Anne Lachaux, Pierre Stock, Sandeep Subramanian, Sophia Yang, Szymon Antoniak, Teven Le Scao, Théophile Gervet, Thibaut Lavril, Thomas Wang, Timothée Lacroix, William El Sayed
First submitted to arxiv on: 8 Jan 2024
Categories
- Main: Machine Learning (cs.LG)
- Secondary: Computation and Language (cs.CL)
GrooveSquid.com Paper Summaries
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary This paper introduces Mixtral 8x7B, a Sparse Mixture of Experts (SMoE) language model that builds upon Mistral 7B’s architecture with an added layer of complexity. The SMoE mechanism allows each token to access 47 billion parameters while only using 13 billion during inference. This unique design enables Mixtral to outperform or match Llama 2 70B and GPT-3.5 on various benchmarks, particularly excelling in mathematics, code generation, and multilingual tasks. Additionally, a fine-tuned version of the model, Mixtral 8x7B – Instruct, surpasses state-of-the-art models like GPT-3.5 Turbo, Claude-2.1, Gemini Pro, and Llama 2 70B – chat model on human-centric benchmarks. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper creates a super cool language model called Mixtral! It’s like a special mix of different parts that work together to make it really good at understanding and generating text. The new part is like a special switchboard that helps the model pick the right ideas from all those different parts. This makes Mixtral really strong and helps it do better than other models on lots of tasks, especially with math, code, and languages. They also made a special version of the model that’s even better at following instructions! |
Keywords
* Artificial intelligence * Claude * Gemini * Gpt * Inference * Language model * Llama * Mixture of experts * Token
