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Title & Speakers	Event
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: It is fluent in English, French, Italian, German, and Spanish It has strong mathematics and coding capabilities It is natively capable of function calling; along with the constrained output mode implemented on la Plateforme, this enables application development and tech stack modernisation at scale Its 64K tokens context window allows precise information recall from large documents 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: It is fluent in English, French, Italian, German, and Spanish It has strong mathematics and coding capabilities It is natively capable of function calling; along with the constrained output mode implemented on la Plateforme, this enables application development and tech stack modernisation at scale Its 64K tokens context window allows precise information recall from large documents 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: It is fluent in English, French, Italian, German, and Spanish It has strong mathematics and coding capabilities It is natively capable of function calling; along with the constrained output mode implemented on la Plateforme, this enables application development and tech stack modernisation at scale Its 64K tokens context window allows precise information recall from large documents 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:

It is fluent in English, French, Italian, German, and Spanish
It has strong mathematics and coding capabilities
It is natively capable of function calling; along with the constrained output mode implemented on la Plateforme, this enables application development and tech stack modernisation at scale
Its 64K tokens context window allows precise information recall from large documents

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:

It is fluent in English, French, Italian, German, and Spanish
It has strong mathematics and coding capabilities
It is natively capable of function calling; along with the constrained output mode implemented on la Plateforme, this enables application development and tech stack modernisation at scale
Its 64K tokens context window allows precise information recall from large documents

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:

It is fluent in English, French, Italian, German, and Spanish
It has strong mathematics and coding capabilities
It is natively capable of function calling; along with the constrained output mode implemented on la Plateforme, this enables application development and tech stack modernisation at scale
Its 64K tokens context window allows precise information recall from large documents

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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