Cedric Vidal
Principal AI Advocate -
MicrosoftCedric Vidal is a Principal AI Advocate at Microsoft, specializing in Generative AI 🤖, and the startup 🚀 and research 🔬 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 🚕 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.
Apresentação das sessões
Cree un asistente multitarea con Azure OpenAI
Cidade do México
Sessão encerrada
Workshop
Tuesday, September 24
6:30 PM - 7:45 PM Horário do Meridiano de Greenwich
Taller 3
WRK551-MX
Los asistentes aprenderán sobre los agentes de inteligencia artificial, un enfoque que les da herramientas a los LLM para llevar a cabo tareas. Desarrolle una aplicación de asistente de escritura Python para tomar un tema de usuario, utilizar agentes para la investigación, búsqueda de productos, escritura y edición, y presentar un artículo refinado.
Code-first LLMOps from prototype to production
Paris
Sessão encerrada
Sessão em grupo
Tuesday, October 22
12:00 PM - 12:45 PM Horário do Meridiano de Greenwich
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
Sessão encerrada
Workshop
Tuesday, December 3
7:15 PM - 8:30 PM Horário do Meridiano de Greenwich
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
Sessão encerrada
Workshop
Tuesday, December 3
9:00 PM - 10:15 PM Horário do Meridiano de Greenwich
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
Sidney
Sessão encerrada
Sessão em grupo
Wednesday, December 11
2:45 AM - 3:30 AM Horário do Meridiano de Greenwich
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
Sidney
Sessão encerrada
Workshop
Wednesday, December 11
5:00 AM - 6:15 AM Horário do Meridiano de Greenwich
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.
プロトタイプから運用までのコードファースト GenAIOps (Code-first GenAIOps from prototype to production)
Tóquio
Sessão em grupo
Thursday, March 27
2:45 AM - 3:30 AM Horário do Meridiano de Greenwich
Stage 5 (会議棟 6F)
BRK451-JP
プロンプト フロー、Prompty、VS Code を使用して、プロトタイプから運用まで、マルチモデル LLM (エージェント) アプリケーションを構築してテストする方法について説明します。新しい GenAIOps ツールを使用してデバッグ、評価、展開、監視を行い、パフォーマンスと安全性を確保し、運用シグナルを収集します。
※同時通訳あり
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.
※Note: This session will be delivered in English. Japanese interpretation will be available.
※同時通訳あり
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.
※Note: This session will be delivered in English. Japanese interpretation will be available.