Karthik Kalyanaraman
Langtrace
LEARN, CONNECT, BUILD
Microsoft Reactor
Partecipa a Microsoft Reactor e interagisci con gli sviluppatori live
Sei pronto per iniziare a usare l''intelligenza artificiale e le tecnologie più recenti? Microsoft Reactor fornisce eventi, formazione e risorse della community per aiutare sviluppatori, imprenditori e startup a sviluppare la tecnologia di intelligenza artificiale e altro ancora. Unisciti a noi.
LEARN, CONNECT, BUILD
Microsoft Reactor
Partecipa a Microsoft Reactor e interagisci con gli sviluppatori live
Sei pronto per iniziare a usare l''intelligenza artificiale e le tecnologie più recenti? Microsoft Reactor fornisce eventi, formazione e risorse della community per aiutare sviluppatori, imprenditori e startup a sviluppare la tecnologia di intelligenza artificiale e altro ancora. Unisciti a noi.
Wróć
Making Generative AI and Enterprise Agents Work: Strategies for Success
15 stycznia, 2025 | 8:00 PM - 9:00 PM (UTC) Coordinated Universal Time
- Formatuj:
Live Stream
Temat: Data Science & Machine Learning
Język: italiano
As enterprises adopt Generative AI and autonomous agents, the challenge lies in getting these systems to work effectively and reliably at scale. Join us for an insightful online meetup hosted by the MLOps Community in collaboration with Microsoft, where we focus on the strategies and tools needed to make Generative AI and enterprise agents successful.
In this session, global experts will share their knowledge on Prompt Engineering, AI Observability, and real-world enterprise use cases to help you build systems that are robust, scalable, and production-ready.
Who Should Attend:
AI engineers, MLOps practitioners, developers, and enterprise leaders looking to optimize Generative AI models, improve observability, and implement AI agents effectively in production.
Prelegenci
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Love Takshak
Microsoft
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Mike Taylor
Prompt Engineering for Generative AI
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Building Context and Reasoning for Agentic Systems with Howso
Building Context and Reasoning for Agentic Systems with Howso
Formatuj:
Live Stream
Temat: Data Science & Machine Learning
Język: italiano