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Title & Speakers Event
Katja Wittfoth – Machine Learning Engineer @ San Francisco (visiting)

In this talk, I will explore prompt engineering, a key part of gen AI systems. We will discuss how to create effective prompts, how these methods have evolved, and what are the new finding from the recent research. The main focus will be on text-based prompting techniques such as Few-shot Prompting, Chain of Thought (CoT), and various reasoning and decomposition methods.

prompt engineering few-shot prompting chain of thought
Jessica Greene – Senior Machine Learning Engineer

In this session, I will share how I have approached learning the foundations of Machine Learning to transition into a role as an ML engineer, despite my non-traditional background. How I use chatgpt and other generative AI tools to assist both at work and on my side projects. The pros and cons I see of using these tools and why I think it's important we take notice of these technologies.

generative ai machine learning chatgpt
Ana Paula Gomes – Senior Software Engineer @ Centre for Artificial Intelligence in Public Health Research at the Robert Koch Institute

Although the background is a love story, this is actually a story about the exciting and challenging aspects of developing a small project with Github Copilot Workspace. At the end of the presentation, we will have a live demo and discuss the role that tools like this can play in the development process and what is left for us to do in a world full of AI products.

github copilot copilot workspace
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