Search for tag: "model"
Igniting LLM Performance: The Power of Domain Data!In this video, Chris provides a detailed and technical exploration of applying organizational domain data to the Large Language Model (LLM) lifecycle. We begin by explaining the stages involved in… |
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Data Governance vs. Model Governance: Building a Strong Foundation for AIData governance and model governance are the keys in building a strong foundation for AI success. Together, they provide a solid foundation for making better decisions with data & ensuring your… |
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Fine Tuning Large Language Models with InstructLabFollow Cedric Clyburn as he shows how to fine-tune large language models using InstructLab, an open-source tool that can help you customize and specialize them for specific tasks. By fine-tuning your… |
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Gen AI for Good with James Hodson: Using AI to create a better tomorrow, todayEpisode 14 of AI in Action Podcast, Season 1 What if we could use AI as a tool for solving humanitarian problems? Listen to James Hodson, Co-Founder and CEO of AI for Good, talk about how AI… |
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IBM watsonx.governance: Bring light to the black boxWatch the demo to learn about IBM watsonx.governance and how it helps you govern generative AI and ML models, evaluate and monitor for model health, accuracy, drift and bias, and access powerful… |
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From Idea to AI: Building Applications with Generative AIDiscover the exciting world of building applications with Generative AI! Cedric Clyburn explores the process of creating AI-powered applications, from ideation to deployment, & delves into the… |
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IBM Cloud Pak for Integration Explainer VideoUnderstand the use cases, features, and product portfolio of IBM Cloud Pak for Integration. Learn more at… |
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Data modules - How to create a data module from uploaded files (11.2.2)Data modules are where you prepare data coming from many sources for analysis and visualization. Data modules enable a business user to quickly and easily combine enterprise,… |
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Five Steps to Create New AI ModelAI promises to touch every aspect of work and life, but how do they get made? In this video Martin keen walks through a five step framework for how to build and deploy AI models. |
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Demo of Release Manager tasks in the Git branching model for mainframe development (Video 4 of 4)In the final video of the IBM recommended Git branching model for mainframe development series, we'll show the actions of the Release Manager, Dennis. The demo will follow Dennis as he… |
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Demo of Development Lead tasks in the Git branching model for mainframe development (Video 3 of 4)In the third of four videos, we'll continue the demo of the IBM recommended Git branching model for mainframe development. This portion will cover the tasks of the Development Lead persona,… |
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Introduction to the Git branching model for mainframe development (Video 1 of 4)In the first of four videos, we present the Git branching model we recommend for mainframe application development. The branching model is scalable for development teams of different sizes. The model… |
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Demo of Application Developer tasks in the Git branching model for mainframe development (Video 2 of 4)In the second of four videos, we will begin a demonstration of the recommended Git branching model in action. We'll begin by introducing the personas that will be shown in the demo, as well as… |
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Governing the Amazon SageMaker AI Lifecycle with watsonx.governanceIBM watsonx.governance integrates with Amazon SageMaker so you can govern the AI model lifecycle. Watch the demo to see how it works, |
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Watsonx.governance: Monitor AI models with Amazon SageMakerIBM watsonx.governance integrates with Amazon SageMaker so you can monitor your AI models. Watch the demo to see how it works |
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IBM watsonx.governance: Direct, manage and monitor your GenAI and ML models, anywhereWatch the demo to learn about IBM watsonx.governance and how it helps you govern generative AI and ML models, evaluate and monitor for model health, accuracy, drift and bias, and access powerful… |