Jan. 23, 2024, 10:30 p.m. | Changelog Media

Practical AI: Machine Learning, Data Science changelog.com

Small changes in prompts can create large changes in the output behavior of generative AI models. Add to that the confusion around proper evaluation of LLM applications, and you have a recipe for confusion and frustration. Raza and the Humanloop team have been diving into these problems, and, in this episode, Raza helps us understand how non-technical prompt engineers can productively collaborate with technical software engineers while building AI-driven apps.

ai ai models applications apps artificial intelligence behavior changelog collaboration computer vision deep learning evaluation generative generative ai models llm llm applications llm apps machine learning neural networks prompts recipe small team

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

Software Engineering Manager, Generative AI - Characters

@ Meta | Bellevue, WA | Menlo Park, CA | Seattle, WA | New York City | San Francisco, CA

Senior Operations Research Analyst / Predictive Modeler

@ LinQuest | Colorado Springs, Colorado, United States