Devendra Chaplot - Decoding Mistral AI's Large Language Models
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In this talk, Devendra Singh Chaplot, Research Scientist at Mistral AI will explore the building blocks and training strategies that power Mistral AI’s large language models. It will feature Mistral AI's open-source models, Mixtral 8x7B and Mixtral 8x22B, which are based on a mixture-of-experts (MoE) architecture and released under the Apache 2.0 license. The presentation will also provide guidance on utilizing Mistral "La Plateforme" API endpoints and offer a preview of upcoming features.
Devendra Chaplot
Devendra Singh Chaplot is a Research Scientist at Mistral AI working on building the next generation of AI models. Earlier he was a Research Scientist at the Facebook AI Research (FAIR) Lab working at the intersection of Machine Learning, Computer Vision and Robotics. He has led the design of several AI systems which won the CVPR-2019 PointNav and CVPR-2020 ObjectNav, NeurIPS-2022 Rearrangement Habitat Challenges and the Visual-Doom AI Competition 2017. Chaplot is a recipient of the Facebook Fellowship Award and his research has received Best Paper and Best Demo awards at leading AI conferences. His research has also been featured in several popular media outlets such as MIT Technology Review, TechCrunch, Engadget, Popular Science, Kotaku, and Daily Mail. Chaplot received his Ph.D. in Machine Learning from Carnegie Mellon University and Bachelor's degree in Computer Science from IIT Bombay.
Devendra Chaplot
Devendra Singh Chaplot is a Research Scientist at Mistral AI working on building the next generation of AI models. Earlier he was a Research Scientist at the Facebook AI Research (FAIR) Lab working at the intersection of Machine Learning, Computer Vision and Robotics. He has led the design of several AI systems which won the CVPR-2019 PointNav and CVPR-2020 ObjectNav, NeurIPS-2022 Rearrangement Habitat Challenges and the Visual-Doom AI Competition 2017. Chaplot is a recipient of the Facebook Fellowship Award and his research has received Best Paper and Best Demo awards at leading AI conferences. His research has also been featured in several popular media outlets such as MIT Technology Review, TechCrunch, Engadget, Popular Science, Kotaku, and Daily Mail. Chaplot received his Ph.D. in Machine Learning from Carnegie Mellon University and Bachelor's degree in Computer Science from IIT Bombay.
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