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September 16-18, 2024
Vienna, Austria
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Note: The schedule is subject to change.

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Tuesday September 17, 2024 11:00 - 12:35 CEST
Part art, part science, prompt engineering is the process of crafting input text to fine-tune a given large language model for best effect. Foundation models have billions of parameters and are trained on terabytes of data to perform a variety of tasks, including text-, code-, or image generation, classification, conversation, and more. A subset known as large language models are used for text- and code-related tasks. When it comes to prompting these models, there isn't just one right answer. There are multiple ways to prompt them for a successful result. In this workshop, you will learn the basics of prompt engineering, from monitoring your token usage to balancing intelligence and security. You will be guided through a range of exercises where you will be able to utilize the different techniques, dials, and levers illustrated in order to get the output you desire from the model. Participants of this workshop will be equipped with a comprehensive understanding of prompt engineering along with the practical skills required to achieve the best results with open source large language models.
Speakers
avatar for James Busche

James Busche

Senior Software Engineer, IBM
James Busche is a senior software engineer in the IBM Open Technologies Group, currently focused on the Open Source CodeFlare project. Previously, James has been a DevOps Cloud engineer for IBM Watson and the worldwide Watson Kubernetes deployments.
avatar for Rafael Vasquez

Rafael Vasquez

Open Source Software Developer, IBM
Rafael Vasquez is a software developer on the Open Technology team at IBM. He previously completed an MASc. working on self-driving car research and transitioned from a data scientist role in the retail field to his current role where he continues to grow his passion for MLOps and... Read More →
Tuesday September 17, 2024 11:00 - 12:35 CEST
Room 2.31 (Level 2)
  Open Source 101

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