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Azure ML prompt flow | Building trustworthy AI systems with Responsible AI Toolbox

7 3月, 2024 | 3:30 下午 - 4:30 下午 (UTC) 國際標準時間

  • 格式:
  • alt##Livestream線上直播

主題: 負責任 AI

語言: 英文

Responsible AI is paramount in the realm of machine learning, especially with the growing call for AI regulation. This series addresses the practical needs of organizations and AI developers, offering hands-on learning to identify, debug, and mitigate issues associated with AI solutions. By leveraging both LLMs and traditional ML models, you’ll gain valuable insights to navigate the complexities of building AI solutions responsibly.

In this session, you’ll learn how to create visual executable flows that link LLMs, vector embeddings, prompts, and Python tools. You’ll also learn to evaluate performance metrics and responsible AI issues such as groundedness, hallucinations, relevance, etc.

Learn more about responsible AI principles and practices at aka.ms/Responsible-AIPrinciples

#ReactorBengaluru

必要條件

Basic understanding of Python is recommended.

  • #ReactorBengaluru
  • #AzureMLPromptFlow
  • #GenerativeAISolutions
  • #ResponsibleAI
  • #LLMsInAction
  • #PythonTools
  • #InnovateWithAI

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本頁面的一部分可能是機器翻譯或人工智能翻譯的.