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| Title & Speakers | Event |
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Mistral AI Updates incl Mixtral 8x22B + OpenLLMetry Evaluation Optimization
2024-05-20 · 16:00
RSVP Webinar: https://www.eventbrite.com/e/webinar-generative-ai-on-aws-tickets-45852865154 Talk #1: Mistral AI's 2024 Updates including Mixtral 8x22B and a new hands-on DeepLearning.ai short course! by Sophia Yang, PhD Head of Developer Relations @ Mistral AI Mixtral 8x22B is Mistral AI's latest open model. It sets a new standard for performance and efficiency within the AI community. It is a sparse Mixture-of-Experts (SMoE) model that uses only 39B active parameters out of 141B, offering unparalleled cost efficiency for its size. Mixtral 8x22B comes with the following strengths:
Link to Sophia's new DeepLearning.ai short course featuring Mixtral 8x22B: https://www.deeplearning.ai/short-courses/getting-started-with-mistral/ Talk #2: LLM Telemetry with OpenLLMetry and Amazon Bedrock by Clay Elmore (Senior SA, Gen AI) Generative AI applications present challenging observability problems including multi-dimensional compute metric tracing, ambiguous API tracing, constantly evolving model providers, and difficulties evaluating foundation model outputs. Join us in this session to learn about emerging trends in observing applications powered by Amazon Bedrock. You will learn about how to utilize open source observability software OpenLLMetry with Amazon Bedrock to build an end to end observability solution for many Generative AI apps running on AWS. RSVP Webinar: https://www.eventbrite.com/e/webinar-generative-ai-on-aws-tickets-45852865154 Zoom link: https://us02web.zoom.us/j/82308186562 Related Links Generative AI Free Course on DeepLearning.ai: https://bit.ly/gllm O'Reilly Book: https://www.amazon.com/Generative-AWS-Context-Aware-Multimodal-Applications/dp/1098159225 Website: https://generativeaionaws.com Meetup: https://meetup.generativeaionaws.com GitHub Repo: https://github.com/generative-ai-on-aws/ YouTube: https://youtube.generativeaionaws.com |
Mistral AI Updates incl Mixtral 8x22B + OpenLLMetry Evaluation Optimization
|
|
Mistral AI Updates incl Mixtral 8x22B + OpenLLMetry Evaluation Optimization
2024-05-20 · 16:00
RSVP Webinar: https://www.eventbrite.com/e/webinar-generative-ai-on-aws-tickets-45852865154 Talk #1: Mistral AI's 2024 Updates including Mixtral 8x22B and a new hands-on DeepLearning.ai short course! by Sophia Yang, PhD Head of Developer Relations @ Mistral AI Mixtral 8x22B is Mistral AI's latest open model. It sets a new standard for performance and efficiency within the AI community. It is a sparse Mixture-of-Experts (SMoE) model that uses only 39B active parameters out of 141B, offering unparalleled cost efficiency for its size. Mixtral 8x22B comes with the following strengths:
Link to Sophia's new DeepLearning.ai short course featuring Mixtral 8x22B: https://www.deeplearning.ai/short-courses/getting-started-with-mistral/ Talk #2: LLM Telemetry with OpenLLMetry and Amazon Bedrock by Clay Elmore (Senior SA, Gen AI) Generative AI applications present challenging observability problems including multi-dimensional compute metric tracing, ambiguous API tracing, constantly evolving model providers, and difficulties evaluating foundation model outputs. Join us in this session to learn about emerging trends in observing applications powered by Amazon Bedrock. You will learn about how to utilize open source observability software OpenLLMetry with Amazon Bedrock to build an end to end observability solution for many Generative AI apps running on AWS. RSVP Webinar: https://www.eventbrite.com/e/webinar-generative-ai-on-aws-tickets-45852865154 Zoom link: https://us02web.zoom.us/j/82308186562 Related Links Generative AI Free Course on DeepLearning.ai: https://bit.ly/gllm O'Reilly Book: https://www.amazon.com/Generative-AWS-Context-Aware-Multimodal-Applications/dp/1098159225 Website: https://generativeaionaws.com Meetup: https://meetup.generativeaionaws.com GitHub Repo: https://github.com/generative-ai-on-aws/ YouTube: https://youtube.generativeaionaws.com |
Mistral AI Updates incl Mixtral 8x22B + OpenLLMetry Evaluation Optimization
|
|
Mistral AI Updates incl Mixtral 8x22B + OpenLLMetry Evaluation Optimization
2024-05-20 · 16:00
RSVP Webinar: https://www.eventbrite.com/e/webinar-generative-ai-on-aws-tickets-45852865154 Talk #1: Mistral AI's 2024 Updates including Mixtral 8x22B and a new hands-on DeepLearning.ai short course! by Sophia Yang, PhD Head of Developer Relations @ Mistral AI Mixtral 8x22B is Mistral AI's latest open model. It sets a new standard for performance and efficiency within the AI community. It is a sparse Mixture-of-Experts (SMoE) model that uses only 39B active parameters out of 141B, offering unparalleled cost efficiency for its size. Mixtral 8x22B comes with the following strengths:
Link to Sophia's new DeepLearning.ai short course featuring Mixtral 8x22B: https://www.deeplearning.ai/short-courses/getting-started-with-mistral/ Talk #2: LLM Telemetry with OpenLLMetry and Amazon Bedrock by Clay Elmore (Senior SA, Gen AI) Generative AI applications present challenging observability problems including multi-dimensional compute metric tracing, ambiguous API tracing, constantly evolving model providers, and difficulties evaluating foundation model outputs. Join us in this session to learn about emerging trends in observing applications powered by Amazon Bedrock. You will learn about how to utilize open source observability software OpenLLMetry with Amazon Bedrock to build an end to end observability solution for many Generative AI apps running on AWS. RSVP Webinar: https://www.eventbrite.com/e/webinar-generative-ai-on-aws-tickets-45852865154 Zoom link: https://us02web.zoom.us/j/82308186562 Related Links Generative AI Free Course on DeepLearning.ai: https://bit.ly/gllm O'Reilly Book: https://www.amazon.com/Generative-AWS-Context-Aware-Multimodal-Applications/dp/1098159225 Website: https://generativeaionaws.com Meetup: https://meetup.generativeaionaws.com GitHub Repo: https://github.com/generative-ai-on-aws/ YouTube: https://youtube.generativeaionaws.com |
Mistral AI Updates incl Mixtral 8x22B + OpenLLMetry Evaluation Optimization
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How to Interpret & Explain Your Black Box Models | Anaconda
2023-05-11 · 18:57
Sophia Yang
– Senior Data Scientist and Developer Advocate
@ Anaconda
ABOUT THE TALK: There has been an increasing interest in machine learning model interpretability and explainability. Researchers and ML practitioners have designed many explanation techniques such as explainable boosting machine, visual analytics, distillation, prototypes, saliency map, counterfactual, feature visualization, LIME, SHAP, interpretML, and TCAV. In this talk, Sophia Yang provides a high-level overview of the popular model explanation techniques. ABOUT THE SPEAKER: Sophia Yang is a Senior Data Scientist and a Developer Advocate at Anaconda. She is passionate about the data science community and the Python open-source community. She is the author of multiple Python open-source libraries such as condastats, cranlogs, PyPowerUp, intake-stripe, and intake-salesforce. ABOUT DATA COUNCIL: Data Council (https://www.datacouncil.ai/) is a community and conference series that provides data professionals with the learning and networking opportunities they need to grow their careers. Make sure to subscribe to our channel for the most up-to-date talks from technical professionals on data related topics including data infrastructure, data engineering, ML systems, analytics and AI from top startups and tech companies. FOLLOW DATA COUNCIL: Twitter: https://twitter.com/DataCouncilAI LinkedIn: https://www.linkedin.com/company/datacouncil-ai/ |
Data Council 2023 |