#watsonx.ai #PromptLab
IBM TechXchange 2025 - AI Track flyer.pdf
#watsonx.ai #Watsonstudio #MachineLearning #TuningStudio #PromptLab #GenerativeAI
1yd_zwtWfFeoWv76FuBuVnyfsignBskxACiJSnyDdhU.png
Today, weโre launching a private preview of model alignment with InstructLab in watsonx.ai. With this feature, customers can add their enterprise data, amplify that with synthetic data and alignment tune a small language model. This results in a smaller specialized model that is catered to an...
#watsonx.ai #MachineLearning #PromptLab #GenerativeAI
2 Comments - no search term matches found in comments.
IBM announces the general availability of watsonx.ai version 2.1 (December 11, 2024) . This software update includes several new features and foundation models as well as feature enhancements. Watsonx.ai is an enterprise-grade AI development studio that runs on an open and trusted hybrid cloud...
In this video, you'll learn how to build an interactive chat application with image support using Streamlit, Llama 3.2, and IBM watsonx.ai. We'll walk through the python code and discover how to integrate powerful AI features for both text and image processing, and see your app come to life...
Welcome to Part 3 of the InstructLab series! In this bonus tutorial, we will experiment with model tuning using the InstructLab command line tool. Building on the insights from Parts 1 and 2, this video will guide you step-by-step through: Connecting to a remote Linux VM Key commands...
The watsonx.ai Product Team is pleased to announce that you can now use custom foundation models in watsonx.ai on IBM Cloud (SaaS). You can import custom foundation models to the watsonx.ai and use them in the Prompt Lab or API. This completes a major milestone to provide the same...
In this video we'll explore the following fun topics: What is Fine tuning Full Fine tuning vs PEFT Model Tuning steps Popular PEFT methods: Prompt tuning / LoRA / QLoRA #watsonx.ai #TuningStudio #PromptLab #GenerativeAI
The Prompt Lab in Watsonx.ai contains numerous methods of training and fine-tuning foundational models to align them with your business needs. Several of these methods are simple techniques that, when implemented, provide an immediate impact to the model response. When several of these...
4 attachments