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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.

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Manage episode 400951152 series 2715252
Content provided by IBM Big Data & Analytics Hub, IBM Big Data, and Analytics Hub. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by IBM Big Data & Analytics Hub, IBM Big Data, and Analytics Hub or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

Send us a Text Message.

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-engineering
Love 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.

  continue reading

304 episodes

Artwork
iconShare
 
Manage episode 400951152 series 2715252
Content provided by IBM Big Data & Analytics Hub, IBM Big Data, and Analytics Hub. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by IBM Big Data & Analytics Hub, IBM Big Data, and Analytics Hub or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

Send us a Text Message.

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-engineering
Love 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.

  continue reading

304 episodes

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