Remove Chatbots Remove Data Discovery Remove ML
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Why data governance is essential for enterprise AI

IBM Journey to AI blog

Risks of training LLM models on sensitive data Large language models can be trained on proprietary data to fulfill specific enterprise use cases. For example, a company could take ChatGPT and create a private model that is trained on the company’s CRM sales data.

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CMU Researchers Introduce Zeno: A Framework for Behavioral Evaluation of Machine Learning (ML) Models

Marktechpost

A chatbot for taking notes, an editor for creating images from text, and a tool for summarising customer comments can all be made with a basic understanding of programming and a couple of hours. In the actual world, machine learning (ML) systems can embed issues like societal prejudices and safety worries.

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AI that’s ready for business starts with data that’s ready for AI

IBM Journey to AI blog

With an open data lakehouse architecture, you can now optimize your data warehouse workloads for price performance and modernize traditional data lakes with better performance and governance for AI. Trusted, governed data is essential for ensuring the accuracy, relevance and precision of AI.

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Towards Behavior-Driven AI Development

ML @ CMU

With a bit of programming knowledge and a couple of hours, you can spin up a chatbot for your notes , a text-based image editor , or a tool for summarizing customer feedback. While chatbot A might sound more human-like, a practitioner will deploy chatbot B if it produces concise and accurate answers that customers prefer.

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What Does GPT-3 Mean For the Future of MLOps? With David Hershey

The MLOps Blog

This article was originally an episode of the MLOps Live , an interactive Q&A session where ML practitioners answer questions from other ML practitioners. Every episode is focused on one specific ML topic, and during this one, we talked to David Hershey about GPT-3 and the feature of MLOps. David: Thank you.

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Search enterprise data assets using LLMs backed by knowledge graphs

Flipboard

A Streamlit application is hosted in Amazon Elastic Container Service (Amazon ECS) as a task, which provides a chatbot UI for users to submit queries against the knowledge base in Amazon Bedrock. The table only exists in the Data Catalog. This powerful solution opens up exciting possibilities for enterprise data discovery and insights.

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