Remove Explainability Remove LLM Remove Metadata Remove Responsible AI
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Top Artificial Intelligence AI Courses from Google

Marktechpost

Participants learn to build metadata for documents containing text and images, retrieve relevant text chunks, and print citations using Multimodal RAG with Gemini. Introduction to Generative AI This introductory microlearning course explains Generative AI, its applications, and its differences from traditional machine learning.

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Large Language Model Ops (LLM Ops)

Mlearning.ai

Introduction Create ML Ops for LLM’s Build end to end development and deployment cycle. Add Responsible AI to LLM’s Add Abuse detection to LLM’s. High level process and flow LLM Ops is people, process and technology. LLM Ops flow — Architecture Architecture explained.

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Evolving Trends in Prompt Engineering for Large Language Models (LLMs) with Built-in Responsible AI…

ODSC - Open Data Science

Evolving Trends in Prompt Engineering for Large Language Models (LLMs) with Built-in Responsible AI Practices Editor’s note: Jayachandran Ramachandran and Rohit Sroch are speakers for ODSC APAC this August 22–23. are harnessed to channel LLMs output. Auto Eval Common Metric Eval Human Eval Custom Model Eval 3.

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How to use foundation models and trusted governance to manage AI workflow risk

IBM Journey to AI blog

AI governance refers to the practice of directing, managing and monitoring an organization’s AI activities. It includes processes that trace and document the origin of data, models and associated metadata and pipelines for audits. ” Are foundation models trustworthy? .”

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Meet Jupyter AI: A New Open-Source Project that brings Generative Artificial Intelligence to Jupyter Notebooks with Magic Commands and a Chat Interface

Flipboard

Jupyter AI, an official subproject of Project Jupyter, brings generative artificial intelligence to Jupyter notebooks. It allows users to explain and generate code, fix errors, summarize content, and even generate entire notebooks from natural language prompts. Check out the GitHub and Reference Article.

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How 20 Minutes empowers journalists and boosts audience engagement with generative AI on Amazon Bedrock

AWS Machine Learning Blog

This blog post outlines various use cases where we’re using generative AI to address digital publishing challenges. We dive into the technical aspects of our implementation and explain our decision to choose Amazon Bedrock as our foundation model provider. Storm CMS also gives journalists suggestions for article metadata.

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MLOps Landscape in 2023: Top Tools and Platforms

The MLOps Blog

This includes features for model explainability, fairness assessment, privacy preservation, and compliance tracking. When thinking about a tool for metadata storage and management, you should consider: General business-related items : Pricing model, security, and support. Is it fast and reliable enough for your workflow?