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What we learned about LLM’s in a year cover
What we learned about LLM’s in a year cover
The Prompt Desk

What we learned about LLM’s in a year

What we learned about LLM’s in a year

21min |02/10/2024
Play
undefined cover
undefined cover
What we learned about LLM’s in a year cover
What we learned about LLM’s in a year cover
The Prompt Desk

What we learned about LLM’s in a year

What we learned about LLM’s in a year

21min |02/10/2024
Play

Description

In this one year anniversary episode of the podcast, your show hosts look back on what they have learned and observed over the past year. They made the following observations:


  • Reflection on a year of LLM development: The hosts discuss how the LLM ecosystem has rapidly evolved over the past year, moving from initial hype to a focus on practical applications with demonstrable ROI.

  • Changes in prompt engineering: They note a shift from instruction-based prompting to example-based prompting, finding the latter more reliable.

  • Impact on software development: LLMs have significantly increased productivity and are changing how software is architected and developed, making previously complex tasks much simpler and faster to implement.

  • Shifting skill requirements: The hosts predict that soft skills will become more valuable for engineers, while specific programming language knowledge may become less crucial due to AI assistance.

  • Evolving perspectives: Both hosts describe how their views on LLMs have changed, moving from initial skepticism to greater optimism about the technology's potential and impact.

  • Future of the field: They emphasize the transformative nature of LLMs on the entire field of computer science and encourage newcomers to stick with it, predicting that those who do will become the experts shaping the future of technology.


---
Continue listening to The Prompt Desk Podcast for everything LLM & GPT, Prompt Engineering, Generative AI, and LLM Security.
Check out PromptDesk.ai for an open-source prompt management tool.
Check out Brad’s AI Consultancy at bradleyarsenault.me
Add Justin Macorin and Bradley Arsenault on LinkedIn.


Hosted by Ausha. See ausha.co/privacy-policy for more information.

Description

In this one year anniversary episode of the podcast, your show hosts look back on what they have learned and observed over the past year. They made the following observations:


  • Reflection on a year of LLM development: The hosts discuss how the LLM ecosystem has rapidly evolved over the past year, moving from initial hype to a focus on practical applications with demonstrable ROI.

  • Changes in prompt engineering: They note a shift from instruction-based prompting to example-based prompting, finding the latter more reliable.

  • Impact on software development: LLMs have significantly increased productivity and are changing how software is architected and developed, making previously complex tasks much simpler and faster to implement.

  • Shifting skill requirements: The hosts predict that soft skills will become more valuable for engineers, while specific programming language knowledge may become less crucial due to AI assistance.

  • Evolving perspectives: Both hosts describe how their views on LLMs have changed, moving from initial skepticism to greater optimism about the technology's potential and impact.

  • Future of the field: They emphasize the transformative nature of LLMs on the entire field of computer science and encourage newcomers to stick with it, predicting that those who do will become the experts shaping the future of technology.


---
Continue listening to The Prompt Desk Podcast for everything LLM & GPT, Prompt Engineering, Generative AI, and LLM Security.
Check out PromptDesk.ai for an open-source prompt management tool.
Check out Brad’s AI Consultancy at bradleyarsenault.me
Add Justin Macorin and Bradley Arsenault on LinkedIn.


Hosted by Ausha. See ausha.co/privacy-policy for more information.

Share

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Description

In this one year anniversary episode of the podcast, your show hosts look back on what they have learned and observed over the past year. They made the following observations:


  • Reflection on a year of LLM development: The hosts discuss how the LLM ecosystem has rapidly evolved over the past year, moving from initial hype to a focus on practical applications with demonstrable ROI.

  • Changes in prompt engineering: They note a shift from instruction-based prompting to example-based prompting, finding the latter more reliable.

  • Impact on software development: LLMs have significantly increased productivity and are changing how software is architected and developed, making previously complex tasks much simpler and faster to implement.

  • Shifting skill requirements: The hosts predict that soft skills will become more valuable for engineers, while specific programming language knowledge may become less crucial due to AI assistance.

  • Evolving perspectives: Both hosts describe how their views on LLMs have changed, moving from initial skepticism to greater optimism about the technology's potential and impact.

  • Future of the field: They emphasize the transformative nature of LLMs on the entire field of computer science and encourage newcomers to stick with it, predicting that those who do will become the experts shaping the future of technology.


---
Continue listening to The Prompt Desk Podcast for everything LLM & GPT, Prompt Engineering, Generative AI, and LLM Security.
Check out PromptDesk.ai for an open-source prompt management tool.
Check out Brad’s AI Consultancy at bradleyarsenault.me
Add Justin Macorin and Bradley Arsenault on LinkedIn.


Hosted by Ausha. See ausha.co/privacy-policy for more information.

Description

In this one year anniversary episode of the podcast, your show hosts look back on what they have learned and observed over the past year. They made the following observations:


  • Reflection on a year of LLM development: The hosts discuss how the LLM ecosystem has rapidly evolved over the past year, moving from initial hype to a focus on practical applications with demonstrable ROI.

  • Changes in prompt engineering: They note a shift from instruction-based prompting to example-based prompting, finding the latter more reliable.

  • Impact on software development: LLMs have significantly increased productivity and are changing how software is architected and developed, making previously complex tasks much simpler and faster to implement.

  • Shifting skill requirements: The hosts predict that soft skills will become more valuable for engineers, while specific programming language knowledge may become less crucial due to AI assistance.

  • Evolving perspectives: Both hosts describe how their views on LLMs have changed, moving from initial skepticism to greater optimism about the technology's potential and impact.

  • Future of the field: They emphasize the transformative nature of LLMs on the entire field of computer science and encourage newcomers to stick with it, predicting that those who do will become the experts shaping the future of technology.


---
Continue listening to The Prompt Desk Podcast for everything LLM & GPT, Prompt Engineering, Generative AI, and LLM Security.
Check out PromptDesk.ai for an open-source prompt management tool.
Check out Brad’s AI Consultancy at bradleyarsenault.me
Add Justin Macorin and Bradley Arsenault on LinkedIn.


Hosted by Ausha. See ausha.co/privacy-policy for more information.

Share

Embed

You may also like