Advancing AI: Scaling, Data, Agents, Testing, and Ethical Considerations

Update: 2024-09-05

Description

Dr. Andrew Ng is a globally recognized AI leader, founder of DeepLearning.AI and Landing AI, General Partner at AI Fund, Chairman and Co-Founder of Coursera, and Adjunct Professor at Stanford University.

Subscribe to the Gradient Flow Newsletter: https://gradientflow.substack.com/

Subscribe: Apple • Spotify • Overcast • Pocket Casts • AntennaPod • Podcast Addict • Amazon • RSS.

Detailed show notes - with links to many references - can be found on The Data Exchange web site.

Comments

Top Podcasts

The Best New Comedy Podcast Right Now – June 2024 The Best News Podcast Right Now – June 2024 The Best New Business Podcast Right Now – June 2024 The Best New Sports Podcast Right Now – June 2024 The Best New True Crime Podcast Right Now – June 2024 The Best New Joe Rogan Experience Podcast Right Now – June 20 The Best New Dan Bongino Show Podcast Right Now – June 20 The Best New Mark Levin Podcast – June 2024

In Channel

Unlocking the Power of LLMs with Data Prep Kit

2024-09-1238:15

Advancing AI: Scaling, Data, Agents, Testing, and Ethical Considerations

2024-09-0524:37

Bridging the Hardware-Software Divide in AI

2024-08-2948:27

Monthly Roundup: The Economic Realities of Large Language Models

2024-08-2243:31

From Hype to Reality: The Current State of Enterprise Generative AI Adoption

2024-08-1544:53

Automating Unstructured Data Extraction with LLMs

2024-08-0835:29

Generative AI in Context: Hybrid Intelligence and Responsible Development

2024-08-0136:04

Monthly Roundup: Navigating the Peaks and Valleys of Generative AI Technology

2024-07-2546:18

From Preparation to Recovery: Mastering AI Incident Response

2024-07-1834:38

Unlocking the Power of Unstructured Data

2024-07-1149:32

Postgres: The Swiss Army Knife of Databases

2024-07-0350:50

Supercharging AI with Graphs

2024-06-2743:58

Monthly Roundup: SB 1047, GraphRAG, and AI Avatars in the Workplace

2024-06-2036:59

Fine-tuning and Preference Alignment in a Single Streamlined Process

2024-06-1335:32

TinyML, Sensor-Driven AI, and Advances in Large Language Models

2024-06-0625:23

Machine Unlearning: Techniques, Challenges, and Future Directions

2024-05-3049:36

Unleashing the Power of AI Agents

2024-05-2338:47

Monthly Roundup: Llama 3, Agents, Evaluation Metrics, Cyc, TikTok, and more

2024-05-1641:58

LLMs for Data Access: Unlocking Insights with Text-to-SQL

2024-05-0943:22

2024 Artificial Intelligence Index

2024-05-0253:50

00:00

Advancing AI: Scaling, Data, Agents, Testing, and Ethical Considerations

#box-pro-ellipsis-172651426167537{-webkit-line-clamp:2;}Advancing AI: Scaling, Data, Agents, Testing, and Ethical Considerations

Advancing AI: Scaling, Data, Agents, Testing, and Ethical Considerations

Ben Lorica

Advancing AI: Scaling, Data, Agents, Testing, and Ethical Considerations