March 26, 2024, 10:46 p.m. | Lukasz Kowejsza

Towards Data Science - Medium towardsdatascience.com

Created with DALL·E

Step-by-Step Workflow for developing and refining an AI Agent while dealing with errors

When we think about the future of AI, we envision intuitive everyday helpers seamlessly integrating into our workflows and taking on complex, routinely tasks. We all have found touchpoints that relieve us from the tedium of mental routine work. Yet, the main tasks currently tackled involve text creation, correction, and brainstorming, underlined by the significant role RAG (Retrieval-Augmented Generation) pipelines play in ongoing development. …

ai deep-dives large language models openai python

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

Senior ML Engineer

@ Carousell Group | Ho Chi Minh City, Vietnam

Data and Insight Analyst

@ Cotiviti | Remote, United States