Build with Azure OpenAI, Copilot Studio & Agentic Frameworks — Microsoft Certified
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Join a panel discussion featuring industry experts Sam Charrington, George Mathew, Asmitha Rathis, Natalia Burina, and Sahar Mor as they explore key challenges and considerations when building products with Large Language Models (LLMs). Delve into topics such as cost management, latency requirements, open-source models, domain-specific applications, and strategies for combating hallucinations. Gain valuable insights on AI system cards, prompt engineering, feedback loops, and evaluation methods. Learn about economic considerations and model selection processes to optimize LLM implementation in production environments. Benefit from the panelists' extensive experience in AI, machine learning, and product development across various industries.
Syllabus
Introduction
Panel Introductions
Hot Spicy
Open Source Language Models
DomainSpecific Models
Public Corpus
Role for Services
Open Source Models
Use Cases
AI System Card
Prompts
Avoiding hallucinations
Combating hallucinations
Feedback loops
Evaluation
Economic Considerations
Model Selection
Taught by
MLOps.community