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.
セッション プレゼンテーション
Cree un asistente multitarea con Azure OpenAI
メキシコシティ
終了したセッション
ワークショップ
火曜日, 9月 24日
18:30 - 19:45 グリニッジ標準時
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
パリ
終了したセッション
ブレイクアウト
火曜日, 10月 22日
12:00 - 12:45 グリニッジ標準時
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
トロント
終了したセッション
ワークショップ
火曜日, 12月 3日
19:15 - 20:30 グリニッジ標準時
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
トロント
終了したセッション
ワークショップ
火曜日, 12月 3日
21:00 - 22:15 グリニッジ標準時
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
シドニー
終了したセッション
ブレイクアウト
水曜日, 12月 11日
02:45 - 03:30 グリニッジ標準時
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
シドニー
終了したセッション
ワークショップ
水曜日, 12月 11日
05:00 - 06:15 グリニッジ標準時
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.
木曜日, 3月 27日
02:45 - 03:30 グリニッジ標準時
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.