Search for tag: "foundation models"
Granite AI Models Explained: When and how to use themThis video, presented by Suj Perepa, discusses the importance of choosing the right type of generative AI model for business applications. The video focuses on the Granite models, which are … |
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What is Granite?Martin Keen discusses the importance of selecting the right large language model (LLM) for enterprise use, highlighting three key metrics: performance, cost-effectiveness, and trustworthiness. He… |
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AI, Machine Learning, Deep Learning and Generative AI ExplainedJoin Jeff Crume as he dives into the distinctions between Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), and Foundation Models and how these technologies have evolved over… |
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Module 06 - Prompt TuningThis 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 FlowsThis 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 DataThis 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 DataThis 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 DataThis 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 RefineryThis 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 - OverviewThis 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 WorkLarge 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… |
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Machine Learning vs. Deep Learning vs. Foundation ModelsThe 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… |
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How to Pick the Right AI Foundation ModelThere 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,… |
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Why foundation models are a paradigm shift for AIFoundation 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… |
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Demo: Generative AI and machine learning with IBM watsonx.aiWith IBM watsonx.ai, you can train, validate, tune and deploy generative AI, foundation models and machine learning (ML) capabilities with ease. Start your free trial today. |
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Scale and accelerate the impact of AI with trusted dataIn the ever-evolving landscape of technology, a remarkable door to new opportunities has swung open, courtesy of AI. Astonishingly, a whopping 64% of businesses have embraced the conviction that… |