May 11, 2023, 1 p.m. | Changelog Media

Practical AI: Machine Learning, Data Science changelog.com

There are a ton of problems around building LLM apps in production and the last mile of that problem. Travis Fischer, builder of open AI projects like @ChatGPTBot, joins us to talk through these problems (and how to overcome them). He helps us understand the hierarchy of complexity from simple prompting to augmentation, agents, and fine-tuning. Along the way we discuss the frontend developer community that is rapidly adopting AI technology via Typescript (not Python).

ai ai app ai projects app apps artificial intelligence augmentation building changelog complexity computer vision deep learning development llm machine learning neural networks open ai production projects prompting talk through

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne

Senior Machine Learning Engineer (MLOps)

@ Promaton | Remote, Europe

Technology Consultant Master Data Management (w/m/d)

@ SAP | Walldorf, DE, 69190

Research Engineer, Computer Vision, Google Research

@ Google | Nairobi, Kenya