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Candid view on GenAI, Foundational Models, and LLMs with Armand Ruiz, Director watsonx Client Engineering and John Webb, Principal Client Engineering

Candid view on GenAI, Foundational Models, and LLMs with Armand Ruiz, Director watsonx Client Engineering and John Webb, Principal Client Engineering

FromMaking Data Simple


Candid view on GenAI, Foundational Models, and LLMs with Armand Ruiz, Director watsonx Client Engineering and John Webb, Principal Client Engineering

FromMaking Data Simple

ratings:
Length:
30 minutes
Released:
Feb 7, 2024
Format:
Podcast episode

Description

Let's go deep on GenAI, Foundational Models, and LLMs with Armand Ruiz, Director watsonx Client Engineering and John Webb, Principal Client Engineering.  Get a candid view on what is happening in the industy today.01:40 Meet Armand Ruiz05:09 Meet John Webb06:43 The Client Engineering Practice07:51 GenAI11:50 IBM's AI Approach 13:50 GenAi in the Enterprise 15:47 Where to Start?18:10 RAG Method19:11 IBM's Differentiation21:25 AI Regulation24:22 LLM versus Smaller ModelsLinkedIn: linkedin.com/in/armand-ruiz, linkedin.com/in/john-webb-686136127 Website: https://www.ibm.com/client-engineeringWant 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.
Released:
Feb 7, 2024
Format:
Podcast episode

Titles in the series (100)

Hosted by Al Martin, WW VP Account Technology Leaders at IBM. Making Data Simple provides the latest thinking on leadership, big data, A.I., and the implications for the enterprise from a range of experts.