Video description
O’Reilly’s Generative AI in the Enterprise survey reported that people have trouble coming up with appropriate enterprise use cases for AI. Why is it hard to come up with appropriate use cases?
Chip Huyen, cofounder of Claypot AI and author of Designing Machine Learning Systems, talks about why many companies have trouble coming up with appropriate use cases for AI, how to evaluate possible use cases, and the skills your company will need to put them into practice.
About the Generative AI in the Real World podcast: In 2023, ChatGPT put AI on everyone’s agenda. In 2024, the challenge will be turning those agendas into reality. In Generative AI in the Real World, Ben Lorica interviews leaders who are building with AI. Learn from their experience to help put AI to work in your enterprise.
Points of Interest
- 0:00: Introduction
- 0:49: O’Reilly’s Generative AI in the Enterprise survey report results.
- 3:02: Now that generative AI is more accessible, will it be easier to come up with use cases?
- 4:29: AI is easy to demo but hard to productize. Consistence, risk, and compliance.
- 6:44: Is there a framework or checklist for thinking about applications?
- 8:15: What are some of your favorite use cases?
- 13:30: RAG is the “hello, world” of AI applications.
- 17:24: How do you navigate between the desires and requirements of different stakeholders?
- 19:00: When talking to stakeholders, you have to answer questions at the right level.
- 21:10: How to think about staffing teams for generative AI.
- 22:45: There’s less model development with generative AI, more application development.
- 23:12: Frontend engineers and full-stack developers are very successful.
- 26:27: What are companies’ concerns about risk?
- 27:27: Understanding data gives a lot of clues about what it is good at and should be used for.
- 29:00: The importance of documentation.
- 30:25: Are there specific things you can do to ease the integration of AI into an organization?
- 32:49: What companies that have deployed AI into products stand out?
Product information
- Title: Generative AI in the Real World: Chip Huyen on Finding Business Use Cases for Generative AI
- Author(s):
- Release date: January 2024
- Publisher(s): O'Reilly Media, Inc.
- ISBN: 0790145726445
You might also like
book
Prompt Engineering for Generative AI
Large language models (LLMs) and diffusion models such as ChatGPT and Stable Diffusion have unprecedented potential. …
book
What Is Generative AI?
ChatGPT, Midjourney, Stable Diffusion, and LLaMA are quickly becoming household names. These tools and many more …
book
Designing Machine Learning Systems
Machine learning systems are both complex and unique. Complex because they consist of many different components …
book
Generative AI with LangChain
Get to grips with the LangChain framework from theory to deployment and develop production-ready applications. Code …