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Doug Finke on PowerShell, AI, and the future of Small Language Models

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Manage episode 436675885 series 1450892
内容由Data Driven提供。所有播客内容(包括剧集、图形和播客描述)均由 Data Driven 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal

In this episode, Doug shares his preference for composition over inheritance in object-oriented programming and his strategic use of design patterns in Visual Basic consulting. He challenges commonly held beliefs about language performance and productivity, arguing that faster languages do not always yield faster results. The conversation also explores the offline benefits of large and small language models (LLMs and SLMs) and highlights Doug's innovative use of PowerShell to create autonomous agents.

Doug shares fascinating insights on prompt engineering, the evolution of AI models, and the potential of personal AI as the next technological inflection point. Despite facing resistance from critics and the tech community, Doug remains a staunch advocate for leveraging cutting-edge tools and maintaining an unscripted, adaptive approach to technology.

Show Notes

Time Stamps

07:32 Discovering GPT chat and its incredible capabilities.

14:25 Expect announcement at OpenAI Day in November.

19:41 Initial confusion, but eventually realized cross-platform potential.

25:31 Colleague makes fun of me, but impressed.

30:07 Experience of being a non-traditional engineer.

35:10 Prefer using PowerShell over Python for coding.

40:36 Discussing hallucination problem and algorithms in AI.

43:19 Using AI to generate better function names.

47:46 "Creating forms quickly with impressive results."

54:58 Recall story of new guy at whiskey distillery.

01:01:06 Microsoft focuses on smaller, efficient language models.

01:08:12 Data-driven podcast explores PowerShell and AI's fusion.

Links


  continue reading

301集单集

Artwork
icon分享
 
Manage episode 436675885 series 1450892
内容由Data Driven提供。所有播客内容(包括剧集、图形和播客描述)均由 Data Driven 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal

In this episode, Doug shares his preference for composition over inheritance in object-oriented programming and his strategic use of design patterns in Visual Basic consulting. He challenges commonly held beliefs about language performance and productivity, arguing that faster languages do not always yield faster results. The conversation also explores the offline benefits of large and small language models (LLMs and SLMs) and highlights Doug's innovative use of PowerShell to create autonomous agents.

Doug shares fascinating insights on prompt engineering, the evolution of AI models, and the potential of personal AI as the next technological inflection point. Despite facing resistance from critics and the tech community, Doug remains a staunch advocate for leveraging cutting-edge tools and maintaining an unscripted, adaptive approach to technology.

Show Notes

Time Stamps

07:32 Discovering GPT chat and its incredible capabilities.

14:25 Expect announcement at OpenAI Day in November.

19:41 Initial confusion, but eventually realized cross-platform potential.

25:31 Colleague makes fun of me, but impressed.

30:07 Experience of being a non-traditional engineer.

35:10 Prefer using PowerShell over Python for coding.

40:36 Discussing hallucination problem and algorithms in AI.

43:19 Using AI to generate better function names.

47:46 "Creating forms quickly with impressive results."

54:58 Recall story of new guy at whiskey distillery.

01:01:06 Microsoft focuses on smaller, efficient language models.

01:08:12 Data-driven podcast explores PowerShell and AI's fusion.

Links


  continue reading

301集单集

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