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What are large language models (LLMs) ?

What are LLMs ? Large Language Models (LLMs) are a category of foundation models trained on immense amounts of data making them capable of understanding and generating natural language and other types of content to perform a wide range of tasks. LLMs have become a household name thanks to the role they have played in bringing generative AI to the forefront of the public interest, as well as the point on which organizations are focusing to adopt artificial intelligence across numerous business functions and use cases. Outside of the enterprise context, it may seem like LLMs have arrived out of the blue along with new developments in generative AI. However, many companies, including IBM, have spent years implementing LLMs at different levels to enhance their natural language understanding (NLU) and natural language processing (NLP) capabilities. This has occured alongside advances in machine learning, machine learning models, algorithms, neural networks and the transfomer models that pro...

IA module 1 : Introduction to Large Language Models

About this learning activity  In this module, you'll how to apply AI large language models in real-world situations such as customer service and content creation. You'll also explore the unique features of IBM Granite models and discover how to guide them with clear instructions. What you'll learn :  After completing this module, you should be able to : Idnetify key use cases for large language models  Categorize functions of IBM Granite models Describe effective prompting techniques to guide large language models in performing targeted tasks  Lessons :  Overview of large language models  Types of IBM Granite models  Effective prompting techniques for large language models  Simulation : Crafting a product blog post with IBM Granite * * * À propos de cette activité d'apprentissage  Dans ce module, vous apprendrez à appliquer les grands modèles linguistiques d'IA dans des situations réelles telles que le service client et la création de contenu...

IBM skillsbuild axes de formation

 - Intelligence artificielle  - Travaux pratiques  - Cybersécurité  - Science des données  - Cloud