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Inhalt bereitgestellt von Bradley Bernard, Bennett Bernard, Bradley Bernard, and Bennett Bernard. Alle Podcast-Inhalte, einschließlich Episoden, Grafiken und Podcast-Beschreibungen, werden direkt von Bradley Bernard, Bennett Bernard, Bradley Bernard, and Bennett Bernard oder seinem Podcast-Plattformpartner hochgeladen und bereitgestellt. Wenn Sie glauben, dass jemand Ihr urheberrechtlich geschütztes Werk ohne Ihre Erlaubnis nutzt, können Sie dem hier beschriebenen Verfahren folgen https://de.player.fm/legal.
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Building useful bots & open source AI

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Manage episode 431642176 series 3582583
Inhalt bereitgestellt von Bradley Bernard, Bennett Bernard, Bradley Bernard, and Bennett Bernard. Alle Podcast-Inhalte, einschließlich Episoden, Grafiken und Podcast-Beschreibungen, werden direkt von Bradley Bernard, Bennett Bernard, Bradley Bernard, and Bennett Bernard oder seinem Podcast-Plattformpartner hochgeladen und bereitgestellt. Wenn Sie glauben, dass jemand Ihr urheberrechtlich geschütztes Werk ohne Ihre Erlaubnis nutzt, können Sie dem hier beschriebenen Verfahren folgen https://de.player.fm/legal.

What have you wanted to know about building bots? Why is there often a negative stigma around bots in current times?

Bradley shares his experience building various bots, including one that tracked the population of a gym, one that automated chatting with Peloton customer support to get a faster delivery, and most importantly, one that helped earn free Chipotle meals. The Brothers expand further on Bots, discussing the value of automating mundane tasks and the potential applications of bots in different industries. Recent developments in AI models also means that integrating AI models into bots unlock even further opportunity and value-add it can have for many industries, including accounting and finance.

The conversation also touches on recent AI developments, namely the release of Meta's Llama open-source AI model. The Brothers dig deeper into the pro's and cons of utilizing open-source AI models, and even further on how there are numerous options to leverage the Llama model, such as via cloud providers or running locally.

Lastly, Bradley gives an update on his job search, sharing some insights into interviewing for the first time in over a year.

Chapters
00:00 Introduction and Weekend Recap
02:11 Building Bots: Automating Mundane Tasks
12:34 Optimizing Processes with Bots
16:20 From Gym Populations to Peloton Delivery: Bot Success Stories
18:16 Building Bots
29:53 Integrating AI Models into Bots
36:40 Automating Tasks with AppleScript
40:57 Running the Lama AI Model
47:48 The Impact of OpenAI's Llama 3.1 Release
49:32 Challenges Faced by Closed-Source Models
52:06 The Changing Dynamics of Remote Work
58:22 Navigating the Job Market as a Software Engineer

Articles/Links
Brad's Interesting Bookmark:
Tool for optimizing AI prompts

Bennett's Interesting Bookmark:
Why Meta’s Llama 3.1 is a boon for enterprises and a bane for other LLM vendors
The first GPT-4-class AI model anyone can download has arrived: Llama 405B

Creators & Guests


  continue reading

9 Episoden

Artwork
iconTeilen
 
Manage episode 431642176 series 3582583
Inhalt bereitgestellt von Bradley Bernard, Bennett Bernard, Bradley Bernard, and Bennett Bernard. Alle Podcast-Inhalte, einschließlich Episoden, Grafiken und Podcast-Beschreibungen, werden direkt von Bradley Bernard, Bennett Bernard, Bradley Bernard, and Bennett Bernard oder seinem Podcast-Plattformpartner hochgeladen und bereitgestellt. Wenn Sie glauben, dass jemand Ihr urheberrechtlich geschütztes Werk ohne Ihre Erlaubnis nutzt, können Sie dem hier beschriebenen Verfahren folgen https://de.player.fm/legal.

What have you wanted to know about building bots? Why is there often a negative stigma around bots in current times?

Bradley shares his experience building various bots, including one that tracked the population of a gym, one that automated chatting with Peloton customer support to get a faster delivery, and most importantly, one that helped earn free Chipotle meals. The Brothers expand further on Bots, discussing the value of automating mundane tasks and the potential applications of bots in different industries. Recent developments in AI models also means that integrating AI models into bots unlock even further opportunity and value-add it can have for many industries, including accounting and finance.

The conversation also touches on recent AI developments, namely the release of Meta's Llama open-source AI model. The Brothers dig deeper into the pro's and cons of utilizing open-source AI models, and even further on how there are numerous options to leverage the Llama model, such as via cloud providers or running locally.

Lastly, Bradley gives an update on his job search, sharing some insights into interviewing for the first time in over a year.

Chapters
00:00 Introduction and Weekend Recap
02:11 Building Bots: Automating Mundane Tasks
12:34 Optimizing Processes with Bots
16:20 From Gym Populations to Peloton Delivery: Bot Success Stories
18:16 Building Bots
29:53 Integrating AI Models into Bots
36:40 Automating Tasks with AppleScript
40:57 Running the Lama AI Model
47:48 The Impact of OpenAI's Llama 3.1 Release
49:32 Challenges Faced by Closed-Source Models
52:06 The Changing Dynamics of Remote Work
58:22 Navigating the Job Market as a Software Engineer

Articles/Links
Brad's Interesting Bookmark:
Tool for optimizing AI prompts

Bennett's Interesting Bookmark:
Why Meta’s Llama 3.1 is a boon for enterprises and a bane for other LLM vendors
The first GPT-4-class AI model anyone can download has arrived: Llama 405B

Creators & Guests


  continue reading

9 Episoden

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