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Two Indispensable Tools for Measuring the Quality of AI Systems

ODSC - Open Data Science

In the case of even a simple large language model (LLM) question and answer use case, traditional natural language processing (NLP) metrics fall short of judging whether the free text output conceptually matches that of what we expect. A strong case for keeping humans in the loop when assessing generative AI performance.

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An AI Text Generator will Revolutionize Your Content Marketing

Flipboard

Content marketing was an obscure term that I stumbled upon while reading the book “ The New Rules of Marketing and PR ” by David Meerman-Scott in 2008. Content Marketing has entered a new phase with AI text generators The emergence of AI text generators is poised to disrupt traditional practices and paradigms.

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Getting Started with AI

Towards AI

Last Updated on August 26, 2023 by Editorial Team Author(s): Jeff Holmes MS MSCS Originally published on Towards AI. How to get started with an AI project Vackground on Unsplash Background Here I am assuming that you have read my previous article on How to Learn AI. In a few sentences, describe the following: What is the goal?

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Reinventing the data experience: Use generative AI and modern data architecture to unlock insights

AWS Machine Learning Blog

Organizations can maximize the value of their modern data architecture with generative AI solutions while innovating continuously. The natural language capabilities allow non-technical users to query data through conversational English rather than complex SQL.

Database 101
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Customizing coding companions for organizations

AWS Machine Learning Blog

Generative AI models for coding companions are mostly trained on publicly available source code and natural language text. About the authors Qing Sun is a Senior Applied Scientist in AWS AI Labs and work on AWS CodeWhisperer, a generative AI-powered coding assistant. She received her PhD from Virginia Tech in 2017.

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Zero-shot prompting for the Flan-T5 foundation model in Amazon SageMaker JumpStart

AWS Machine Learning Blog

We also demonstrate how you can engineer prompts for Flan-T5 models to perform various natural language processing (NLP) tasks. Task Prompt (template in bold) Model output Summarization Briefly summarize this paragraph: Amazon Comprehend uses natural language processing (NLP) to extract insights about the content of documents.

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Accelerate development of ML workflows with Amazon Q Developer in Amazon SageMaker Studio

AWS Machine Learning Blog

Data scientists face numerous challenges throughout this process, such as selecting appropriate tools, needing step-by-step instructions with code samples, and troubleshooting errors and issues. This dataset contains 10 years (1999–2008) of clinical care data at 130 US hospitals and integrated delivery networks.

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