Search for tag: "models"

Scale your tech with a dynamic duo - AI and hybrid cloud

The key to harnessing AI’s full potential is integrating it across all your data – whether on-prem, in the cloud, or at the edge. In this episode, our host Albert Lawrence and guests…

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Module 06 - Prompt Tuning

This video provides an overview of the final module of the course “IBM watsonx.ai - Preparing Data for Prompt Tuning with IBM Data Refinery” by introducing the concepts of foundation…

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Module 05 - Managing Data Refinery Flows

This video provides an overview of the fifth module of the course “IBM watsonx.ai - Preparing Data for Prompt Tuning with IBM Data Refinery” by demonstrating how to administer data…

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Module 04 - Prepare, Analyze, and Transform Data

This video provides an overview of the fourth module of the course “IBM watsonx.ai - Preparing Data for Prompt Tuning with IBM Data Refinery” by presenting how to prepare, analyze, and…

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Module 03 - Profiling and Visualizing Data

This video provides an overview of the third module of the course “IBM watsonx.ai - Preparing Data for Prompt Tuning with IBM Data Refinery” by presenting the value of profiling and…

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Module 02 - Generating Synthetic Data

This video provides an overview of the second module of the course “IBM watsonx.ai - Preparing Data for Prompt Tuning with IBM Data Refinery” by introducing the concept of generating…

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Module 01 - Introducing IBM watsonx and the Data Refinery

This video provides an overview of the first module of the course “IBM watsonx.ai - Preparing Data for Prompt Tuning with IBM Data Refinery” by introducing both IBM watsonx.ai and IBM…

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Preparing Data for Prompt Tuning with IBM Data Refinery - Overview

This video introduces the core concepts that will be covered in-depth throughout the IBM watsonx.ai - Preparing Data for Prompt Tuning with IBM Data Refinery course.

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How Large Language Models Work

Large language models-- or LLMs --are a type of generative pretrained transformer (GPT) that can create human-like text and code. There's a lot of talk about GPTs and LLMs lately, but…

From  chq_master_librarians

Five Steps to Create a New AI Model

AI 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.

From  chq_master_librarians

Machine Learning vs. Deep Learning vs. Foundation Models

The recent interest in AI as meant a lot of people have been encountering new vocabulary. Martin Keen is to help you sort it out. This video runs through key terms like machine learning, deep…

From  chq_master_librarians

How to Pick the Right AI Foundation Model

There are so many foundation models available for AI Development, but how do you pick the right one? Picking the wrong one might cost you money, time, accuracy, and reliability. Martin Keen,…

From  chq_master_librarians

Model monitoring with IBM watsonx.governance

Watch the demo to see how IBM watsonx.governance brings model monitoring capabilities to both generative AI and machine learning models, including performance metrics and more. Try today.

From  chq_master_librarians

Model evaluation and documentation with IBM watsonx.governance

IBM watsonx.governance is a one-stop automated toolkit built to govern both generative AI and machine learning (ML) models on the IBM watsonx platform. See how model evaluation and documentation…

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Exercise 6: Analyze the data

This video accompanies the Managing ModelOps with IBM Cloud Pak for Data V4.6 course, and demonstrates how to use AutoAI in Cloud Pak for Data to analyze data and create a model.

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Why foundation models are a paradigm shift for AI

Foundation models are what will form the basis of generative AI for businesses. While machine learning has traditionally come about through supervised learning, a foundation model is a general…

From  chq_master_librarians