Be wiser than 98% of the world with this episode, continuing last week's conversation. More on GenAI, Hallucinations, RAG, Use Cases, LLMs, SLMs and costs with Armand Ruiz, Director watsonx Client Engineering and John Webb, Principal Client Engineering.
Publisher |
IBM
Media Type |
audio
Categories Via RSS |
Business
Entrepreneurship
Technology
Publication Date |
Feb 14, 2024
Episode Duration |
00:31:24

More on GenAI, Hallucinations, RAG, Use Cases, LLMs, SLMs and costs with Armand Ruiz, Director watsonx Client Engineering and John Webb, Principal Client Engineering.  With this and the previous episode you'll be wiser on AI than 98% of the world.

  • 00:12 Hallucinations
  • 02:33 RAG Differentiation
  • 06:41 Why IBM in AI
  • 09:23 Use Cases
  • 11:02 The GenAI Resume
  • 13:37 watson.x 
  • 15:40 LLMs
  • 17:51 Experience Counts
  • 20:03 AI that Surprises
  • 23:46 AI Skills
  • 26:47 Switching LLMs
  • 27:13 The Cost and SLMs
  • 28:21 Prompt Engineering
  • 29:16 For Fun

LinkedIn: linkedin.com/in/armand-ruiz, linkedin.com/in/john-webb-686136127 Website: https://www.ibm.com/client-engineeringLove what you're hearing? Don't forget to rate us on your favorite platform!

Want to be featured as a guest on Making Data Simple?  Reach out to us at almartintalksdata@gmail.com and tell us why you should be next.  The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun. 

Want to be featured as a guest on Making Data Simple? Reach out to us at almartintalksdata@gmail.com and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

This episode currently has no reviews.

Submit Review
This episode could use a review!

This episode could use a review! Have anything to say about it? Share your thoughts using the button below.

Submit Review