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Harnessing the Power of Language Models (LMs)
for Business Applications
Babar M Bhatti
June 15 2023
Babar M Bhatti
https://www.linkedin.com/in/bbhatti/
https://thebabar.medium.com
Dallas AI (2017-Present)
Largest AI Meetup in Texas (5,000+ members)
MutualMind (2010-17)
Social Media Analytics, SaaS
CoreLogic (2018-2021)
Digital, AI, ML
IBM (2021-)
Customer Success - Data and AI
© 2023 ExecEdge.AI 3
1. How did we get to Large Language Models (LLMs)
2. What’s different and exciting?
3. The business use cases for Large Language Models (LLMs)
4. Unlocking the power of LLMs : prompts agents and more
5. Tips on how to be successful with LLMs for business
Overview of Today’s Talk
© 2023 ExecEdge.AI 5
Generative AI
© 2023 ExecEdge.AI 6
Foundation Models
© 2023 ExecEdge.AI 7
Large Language Models
© 2023 ExecEdge.AI 8
What Changed?
© 2023 ExecEdge.AI 9
Generative AI Applications
From Business to Technology, Reasoning and Poetry
© 2023 ExecEdge.AI 10
© 2023 ExecEdge.AI 11
© 2023 ExecEdge.AI 12
Sample Use Case: Sales
Sales is well-suited to the capabilities of
generative AI models. Selling is interaction and
transaction intensive, producing large volumes
of data, including text from email chains, audio
of phone conversations, and video of personal
interactions.
These are exactly the types of unstructured
data the models are designed to work with.
The creative and organic nature of selling
creates immense opportunities for generative
AI to interpret, learn, link, and customize.
© 2023 ExecEdge.AI 13
LLMs are Powerful But Potentially Toxic and Hazardous
Transparency,
Intellectual Property,
Privacy, Black Box,
Lack of groundedness,
Inaccuracy, Bias,
Non-representative
© 2023 ExecEdge.AI 14
FMs / LLMs Have Forever Changed the Way We Work
Are these AI models reliable and trustworthy?
© 2023 ExecEdge.AI 15
Conversational AI is the New Default for Customer
Interactions
Framework to Assess Feasibility of Large Language Models For Business
Assessing
Feasibility of
LLMs
If Yes, Exit
Requires accurate or
factually correct
information?
If No, Exit
Are there sufficient filters
and guardrails in place
(e.g. human reviewers)?
If Yes, Exit
Model results need to be
explainable?
If No, Exit
Can the AI meet legal or
compliance requirements, if any?
If Unsure, Exit
Is the potential harm within
acceptable risk range?
© 2023 ExecEdge.AI 17
Human-like Intelligence Or Stochastic Parrots?
What if AI is sentient? Nick Bostrom
© 2023 ExecEdge.AI 18
Extract Value from Black Box LLMs via Prompts
© 2023 ExecEdge.AI 19
Questions for Business Leaders
How to make the LMs reliable? One Model or Custom Models?
© 2023 ExecEdge.AI 20
Which AI will you use: Closed or Open Source?
Babar M Bhatti
https://www.linkedin.com/in/bbhatti/
https://thebabar.medium.com
Dallas AI (2017-Present)
Largest AI Meetup in Texas (5,000+ members)
MutualMind (2010-17)
Social Media Analytics, SaaS
CoreLogic (2018-2021)
Digital, AI, ML
IBM (2021-)
Customer Success - Data and AI

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arbar https://www.slideshare.net/Solutionman/charles-caldwell-improve-your-life-with-aipdf- Harnessing the Power of LLMs.pdf

  • 1. Harnessing the Power of Language Models (LMs) for Business Applications Babar M Bhatti June 15 2023
  • 2. Babar M Bhatti https://www.linkedin.com/in/bbhatti/ https://thebabar.medium.com Dallas AI (2017-Present) Largest AI Meetup in Texas (5,000+ members) MutualMind (2010-17) Social Media Analytics, SaaS CoreLogic (2018-2021) Digital, AI, ML IBM (2021-) Customer Success - Data and AI
  • 3. © 2023 ExecEdge.AI 3 1. How did we get to Large Language Models (LLMs) 2. What’s different and exciting? 3. The business use cases for Large Language Models (LLMs) 4. Unlocking the power of LLMs : prompts agents and more 5. Tips on how to be successful with LLMs for business Overview of Today’s Talk
  • 4.
  • 5. © 2023 ExecEdge.AI 5 Generative AI
  • 6. © 2023 ExecEdge.AI 6 Foundation Models
  • 7. © 2023 ExecEdge.AI 7 Large Language Models
  • 8. © 2023 ExecEdge.AI 8 What Changed?
  • 9. © 2023 ExecEdge.AI 9 Generative AI Applications From Business to Technology, Reasoning and Poetry
  • 12. © 2023 ExecEdge.AI 12 Sample Use Case: Sales Sales is well-suited to the capabilities of generative AI models. Selling is interaction and transaction intensive, producing large volumes of data, including text from email chains, audio of phone conversations, and video of personal interactions. These are exactly the types of unstructured data the models are designed to work with. The creative and organic nature of selling creates immense opportunities for generative AI to interpret, learn, link, and customize.
  • 13. © 2023 ExecEdge.AI 13 LLMs are Powerful But Potentially Toxic and Hazardous Transparency, Intellectual Property, Privacy, Black Box, Lack of groundedness, Inaccuracy, Bias, Non-representative
  • 14. © 2023 ExecEdge.AI 14 FMs / LLMs Have Forever Changed the Way We Work Are these AI models reliable and trustworthy?
  • 15. © 2023 ExecEdge.AI 15 Conversational AI is the New Default for Customer Interactions
  • 16. Framework to Assess Feasibility of Large Language Models For Business Assessing Feasibility of LLMs If Yes, Exit Requires accurate or factually correct information? If No, Exit Are there sufficient filters and guardrails in place (e.g. human reviewers)? If Yes, Exit Model results need to be explainable? If No, Exit Can the AI meet legal or compliance requirements, if any? If Unsure, Exit Is the potential harm within acceptable risk range?
  • 17. © 2023 ExecEdge.AI 17 Human-like Intelligence Or Stochastic Parrots? What if AI is sentient? Nick Bostrom
  • 18. © 2023 ExecEdge.AI 18 Extract Value from Black Box LLMs via Prompts
  • 19. © 2023 ExecEdge.AI 19 Questions for Business Leaders How to make the LMs reliable? One Model or Custom Models?
  • 20. © 2023 ExecEdge.AI 20 Which AI will you use: Closed or Open Source?
  • 21. Babar M Bhatti https://www.linkedin.com/in/bbhatti/ https://thebabar.medium.com Dallas AI (2017-Present) Largest AI Meetup in Texas (5,000+ members) MutualMind (2010-17) Social Media Analytics, SaaS CoreLogic (2018-2021) Digital, AI, ML IBM (2021-) Customer Success - Data and AI