Cedric Vidal
Principal AI Advocate -
MicrosoftCedric Vidal is a Principal AI Advocate at Microsoft, specializing in Generative AI đ¤, and the startup đ and research đŹ ecosystems. He is dedicated to promoting AI in startups and facilitating the transition of research and startup products to the market.
Before his current role, Cedric spent 4 years as an Engineering Manager in the AI data labeling space for the self-driving đ industry at Argo AI (now re-spawned as Latitude AI). He also served as the CTO of the Fintech AI SAAS startup Quicksign and worked as a software engineering services consultant for major Fintech enterprises for 10 years.
Sessions Presenting
Cree un asistente multitarea con Azure OpenAI
Mexico City
Session Ended
Workshop
Tuesday, September 24
6:30 PM - 7:45 PM Greenwich Mean Time
Taller 3
WRK551-MX
Los asistentes aprenderĂĄn sobre los agentes de inteligencia artificial, un enfoque que les da herramientas a los LLM para llevar a cabo tareas. Desarrolle una aplicaciĂłn de asistente de escritura Python para tomar un tema de usuario, utilizar agentes para la investigaciĂłn, bĂşsqueda de productos, escritura y ediciĂłn, y presentar un artĂculo refinado.
Code-first LLMOps from prototype to production
Paris
Session Ended
Breakout
Tuesday, October 22
12:00 PM - 12:45 PM Greenwich Mean Time
Breakout 2, Level B, Epicea Ampitheatre
BRK451-FR
Learn to build and test multi-model LLM (agent) applications from prototype to production with prompt flow, prompty, and VS Code. Use new LLMOps tooling for debugging, evaluation, deployment, and monitoring to ensure performance and safety, and collect production signals.
Build a multi-tasking assistant with Azure OpenAI
Toronto
Session Ended
Workshop
Tuesday, December 3
7:15 PM - 8:30 PM Greenwich Mean Time
Workshop 4, North Room 206F, Level 200
WRK551-CA
Attendees will learn about AI Agents, an approach that gives LLMs tools to carry out tasks. Build a Python writing assistant app to take a user topic, use agents for research, product search, writing, and editing, and present a refined article.
Build a multi-tasking assistant with Azure OpenAI
Toronto
Session Ended
Workshop
Tuesday, December 3
9:00 PM - 10:15 PM Greenwich Mean Time
Workshop 4, North Room 206F, Level 200
WRK551-CA-R1
Attendees will learn about AI Agents, an approach that gives LLMs tools to carry out tasks. Build a Python writing assistant app to take a user topic, use agents for research, product search, writing, and editing, and present a refined article.
Code-first LLMOps from prototype to production
Sydney
Session Ended
Breakout
Wednesday, December 11
2:45 AM - 3:30 AM Greenwich Mean Time
Breakout 6, | Exhibition Centre, Hall 2, Level 1
BRK451-AU
Learn to build and test multi-model LLM (agent) applications from prototype to production with prompt flow, prompty, and VS Code. Use new LLMOps tooling for debugging, evaluation, deployment, and monitoring to ensure performance and safety, and collect production signals.
Build a multi-tasking assistant with Azure OpenAI
Sydney
Session Ended
Workshop
Wednesday, December 11
5:00 AM - 6:15 AM Greenwich Mean Time
Workshop 3 | Exhibition Centre, Hall 1, Level 1
WRK551-AU-R1
Attendees will learn about AI Agents, an approach that gives LLMs tools to carry out tasks. Build a Python writing assistant app to take a user topic, use agents for research, product search, writing, and editing, and present a refined article.
Thursday, March 27
2:45 AM - 3:30 AM Greenwich Mean Time
Stage 5 (äźč°ćŁ 6F)
BRK451-JP
ăăăłăă ăăăźăPromptyăVS Code ă使ç¨ăăŚăăăăăżă¤ăăăéç¨ăžă§ăăăŤăă˘ă㍠LLM (ă¨ăźă¸ă§ăłă) ă˘ăăŞăąăźăˇă§ăłăć§çŻăăŚăăšăăăćšćłăŤă¤ăăŚčŞŹćăăžăăć°ăă GenAIOps ăăźăŤă使ç¨ăăŚăăăă°ăčŠäžĄăĺąéăçŁčŚăčĄăăăăăŠăźăăłăšă¨ĺŽĺ
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âťĺćé訳ăă
Learn to build and test multi-model LLM (agent) applications from prototype to production with prompt flow, prompty, and VS Code. Use new GenAIOps tooling for debugging, evaluation, deployment, and monitoring to ensure performance and safety, and collect production signals.
âťNote: This session will be delivered in English. Japanese interpretation will be available.
âťĺćé訳ăă
Learn to build and test multi-model LLM (agent) applications from prototype to production with prompt flow, prompty, and VS Code. Use new GenAIOps tooling for debugging, evaluation, deployment, and monitoring to ensure performance and safety, and collect production signals.
âťNote: This session will be delivered in English. Japanese interpretation will be available.