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How Salesforce are using LLMs with Greg Bennett

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Manage episode 373988862 series 2093893
Вміст надано Kane Simms. Весь вміст подкастів, включаючи епізоди, графіку та описи подкастів, завантажується та надається безпосередньо компанією Kane Simms або його партнером по платформі подкастів. Якщо ви вважаєте, що хтось використовує ваш захищений авторським правом твір без вашого дозволу, ви можете виконати процедуру, описану тут https://uk.player.fm/legal.

Greg Bennett’s the final Conversations2 interviewee focused on large language models!


When I heard that Salesforce have adopted LLMs at scale (and also heard that they had started to design and build this prior to ChatGPT’s release) I wanted to know more!


I’ve known Greg for years and have always found him to be warm, knowledgeable and an expert at making complex subjects understandable. He didn’t disappoint here - we spoke about thinking in systems and how that relates to conversational AI, how LLMs affect conversation design (and how conversation designers are key to the best usage of LLMs), how his team of designers work with the wider team, and Salesforce’s recent push into Generative Conversational AI.


So listen up to Greg’s thoughts on the best ways to use LLMs in conversational AI! Salesforce have gone all-in on generative conversational AI and Greg’s team have made that possible.


00:00Start

00:29Greg's introduction

03:55What's your favourite bot?

05:11What's the most useful thing you use at work?

06:21Which conversation designer should we all know about?

08:15Conversations are systematic, and design should be too

10:17What does 'generative conversational AI' mean to you?

11:38How have you been incoporating generative conversational AI into your work at Salesforce?

16:05We need expertise when writing prompts for LLMs

17:45How does your team collaborate with the wider Salesforce team?

20:50What benefits did you envision and how close are you now?

24:23How has this affected the day to day work of conversation designers?

27:46Now we need to be able to educate people about how to do conversational AI well

29:52We're thinking conceptually about language

32:43Is this a new phase of conversation design?

36:32How do you minimise the risks?

39:49Do you continue to iterate together with engineering?

41:37The model has a risk of learning from bad behaviour

42:46How do you stay up to date with generative AI?

44:05Researching attempts to break LLMs on social media gives great REAL data

45:49When will you next speak live?

46:46Outro


Hosted on Acast. See acast.com/privacy for more information.

  continue reading

326 епізодів

Artwork
iconПоширити
 
Manage episode 373988862 series 2093893
Вміст надано Kane Simms. Весь вміст подкастів, включаючи епізоди, графіку та описи подкастів, завантажується та надається безпосередньо компанією Kane Simms або його партнером по платформі подкастів. Якщо ви вважаєте, що хтось використовує ваш захищений авторським правом твір без вашого дозволу, ви можете виконати процедуру, описану тут https://uk.player.fm/legal.

Greg Bennett’s the final Conversations2 interviewee focused on large language models!


When I heard that Salesforce have adopted LLMs at scale (and also heard that they had started to design and build this prior to ChatGPT’s release) I wanted to know more!


I’ve known Greg for years and have always found him to be warm, knowledgeable and an expert at making complex subjects understandable. He didn’t disappoint here - we spoke about thinking in systems and how that relates to conversational AI, how LLMs affect conversation design (and how conversation designers are key to the best usage of LLMs), how his team of designers work with the wider team, and Salesforce’s recent push into Generative Conversational AI.


So listen up to Greg’s thoughts on the best ways to use LLMs in conversational AI! Salesforce have gone all-in on generative conversational AI and Greg’s team have made that possible.


00:00Start

00:29Greg's introduction

03:55What's your favourite bot?

05:11What's the most useful thing you use at work?

06:21Which conversation designer should we all know about?

08:15Conversations are systematic, and design should be too

10:17What does 'generative conversational AI' mean to you?

11:38How have you been incoporating generative conversational AI into your work at Salesforce?

16:05We need expertise when writing prompts for LLMs

17:45How does your team collaborate with the wider Salesforce team?

20:50What benefits did you envision and how close are you now?

24:23How has this affected the day to day work of conversation designers?

27:46Now we need to be able to educate people about how to do conversational AI well

29:52We're thinking conceptually about language

32:43Is this a new phase of conversation design?

36:32How do you minimise the risks?

39:49Do you continue to iterate together with engineering?

41:37The model has a risk of learning from bad behaviour

42:46How do you stay up to date with generative AI?

44:05Researching attempts to break LLMs on social media gives great REAL data

45:49When will you next speak live?

46:46Outro


Hosted on Acast. See acast.com/privacy for more information.

  continue reading

326 епізодів

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