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Foojay.io에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Foojay.io 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.
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Better Coding with AI: Friend or Enemy? (#62)

43:46
 
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Manage episode 452701834 series 3366865
Foojay.io에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Foojay.io 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.

AI, LLMs, ChatGPT—these are just a few of the buzzwords of the massive revolution unfolding right now. These tools are reshaping how we work, but they come with a catch: while they help us work faster and smarter, we need to be careful about placing too much trust in them.
I’ve spoken with several guests at the JFall conference in the Netherlands actively working with these tools to learn more about them. And I had a chat with Grace Jansen about a recent Foojay blog post
Guests
Grace Jansen
https://www.linkedin.com/in/grace-jansen/
Sean Li
https://www.linkedin.com/in/sean-li-568a8414/
John Sterken
https://www.linkedin.com/in/jsterken/
David Vlijmincx
https://www.linkedin.com/in/david-vlijmincx/
Urs Peter
https://www.linkedin.com/in/urs-peter-70a2882/
Joost Kaan
https://www.linkedin.com/in/joost-kaan/
Links
https://foojay.io/today/run-ai-enabled-jakarta-ee-and-microprofile-applications-with-langchain4j-and-open-liberty/
https://marketplace.visualstudio.com/items?itemName=IBM.wca-eja
https://docs.langchain4j.dev/integrations/language-models/
https://foojay.io/today/building-project-panamas-jextract-tool-by-yourself/
https://foojay.io/today/project-panama-for-newbies-part-1/
https://foojay.io/today/writing-c-code-in-java/
Content
00:00 Introduction of topics and guests
01:07 Introduction of Grace and the Foojay blog post
02:31 What is Langchain4J?
03:23 What is JakartaEE?
04:25 What is MicroProfile?
06:33 Compare these tools with Spring
08:30 About the demo application of the blog post
11:32 What is an LLM, and what can it do?
13:41 Short-term evolutions in AI
16:49 Long-term predictions...
18:36 IBM Watson code assistant for VSC
19:45 Sean Li: Java at Microsoft
21:56 AI products provided by Microsoft
25:09 Code upgrades with a VSC extension
26:44 John Sterken: AI as a coding assistant
30:50 David Vlijmincx: Project Panama in relation to AI
34:53 Urs Peter: Generative AI, LLMs, and LangChain4J
40:20 Joost Kaan: Organizing an AI conference

  continue reading

82 에피소드

Artwork
icon공유
 
Manage episode 452701834 series 3366865
Foojay.io에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Foojay.io 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.

AI, LLMs, ChatGPT—these are just a few of the buzzwords of the massive revolution unfolding right now. These tools are reshaping how we work, but they come with a catch: while they help us work faster and smarter, we need to be careful about placing too much trust in them.
I’ve spoken with several guests at the JFall conference in the Netherlands actively working with these tools to learn more about them. And I had a chat with Grace Jansen about a recent Foojay blog post
Guests
Grace Jansen
https://www.linkedin.com/in/grace-jansen/
Sean Li
https://www.linkedin.com/in/sean-li-568a8414/
John Sterken
https://www.linkedin.com/in/jsterken/
David Vlijmincx
https://www.linkedin.com/in/david-vlijmincx/
Urs Peter
https://www.linkedin.com/in/urs-peter-70a2882/
Joost Kaan
https://www.linkedin.com/in/joost-kaan/
Links
https://foojay.io/today/run-ai-enabled-jakarta-ee-and-microprofile-applications-with-langchain4j-and-open-liberty/
https://marketplace.visualstudio.com/items?itemName=IBM.wca-eja
https://docs.langchain4j.dev/integrations/language-models/
https://foojay.io/today/building-project-panamas-jextract-tool-by-yourself/
https://foojay.io/today/project-panama-for-newbies-part-1/
https://foojay.io/today/writing-c-code-in-java/
Content
00:00 Introduction of topics and guests
01:07 Introduction of Grace and the Foojay blog post
02:31 What is Langchain4J?
03:23 What is JakartaEE?
04:25 What is MicroProfile?
06:33 Compare these tools with Spring
08:30 About the demo application of the blog post
11:32 What is an LLM, and what can it do?
13:41 Short-term evolutions in AI
16:49 Long-term predictions...
18:36 IBM Watson code assistant for VSC
19:45 Sean Li: Java at Microsoft
21:56 AI products provided by Microsoft
25:09 Code upgrades with a VSC extension
26:44 John Sterken: AI as a coding assistant
30:50 David Vlijmincx: Project Panama in relation to AI
34:53 Urs Peter: Generative AI, LLMs, and LangChain4J
40:20 Joost Kaan: Organizing an AI conference

  continue reading

82 에피소드

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