all AI news
Jonathan Frankle Discusses Building AI Responsibly on Gradient Dissent
April 10, 2023, 6:51 p.m. | Weights & Biases
Weights & Biases www.youtube.com
They need to be transparent with policymakers about the implications of their technology. They also need to properly evaluate the clients they are building the solutions for.
In this video, Jonathan Frankle, Chief Scientist at MosiacML, shares his insight on the ethics of building AI solutions.
Visit http://wandb.me/gd-jonathan for the full interview.
ai developers ai solutions building deal developers ethics gradient gradient dissent insight jonathan responsibility shares solutions technology video
More from www.youtube.com / Weights & Biases
Confidently iterate on LLM powered applications with Weave
1 day, 18 hours ago |
www.youtube.com
Llama 3’s magic is in post-training
2 days, 22 hours ago |
www.youtube.com
How Zuckerberg made the call to release Llama 3 early
3 days, 21 hours ago |
www.youtube.com
W&B Automations to update and deploy models on Edge Devices
1 week, 2 days ago |
www.youtube.com
The New Era of Mixture-of-Experts
2 weeks, 4 days ago |
www.youtube.com
Jobs in AI, ML, Big Data
Founding AI Engineer, Agents
@ Occam AI | New York
AI Engineer Intern, Agents
@ Occam AI | US
AI Research Scientist
@ Vara | Berlin, Germany and Remote
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