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How will AI and ML Influence the Role of Developers? (#28)
Manage episode 377753997 series 3366865
Artificial Intelligence and ChatGPT are the talk of the town. Every conference has several talks about these technologies, and on Foojay, you can find multiple posts about it. In this podcast, we want to take a look at it from the Java point of view. How can we use AI in Java programs or our job as a developer?
Guests
Zoran Sevarac
https://www.linkedin.com/in/zoran-sevarac-phd-49a9a411/https://foojay.social/@zsevarac
https://twitter.com/zsevarac
Frank Greco
https://www.linkedin.com/in/frankdgreco/
https://twitter.com/frankgreco
https://www.javasig.com/
Roni Dover
https://www.linkedin.com/in/ronidover/
https://twitter.com/doppleware
Podcast
Host: Frank Delporte
https://foojay.social/@frankdelporte
https://twitter.com/FrankDelporte
Content
00:00 Intro and introduction of the guests
02:31 Difference between AI, ML, DL, CV,…
06:30 How ChatGPT and LLMs works
07:50 AI with Java and DeepNetts
https://www.deepnetts.com/
10:42 NYJavaSIG and how AI and ML are influencing the content
13:06 LLM is pattern matching, not a search tool
13:41 Java developers want to develop this with Java
15:03 Foojay articles about Java, AI, and DeepNetts
https://foojay.io/today/getting-started-with-deep-learning-in-java-using-deep-netts/
https://foojay.io/today/visual-recognition-for-chess-with-deep-learning-in-java-on-android/
https://foojay.io/today/deep-learning-in-java-for-drug-discovery/
https://foojay.io/today/quick-start-with-machine-learning-in-java/
17:40 Java Specification Request 381: Visual Recognition Specification
https://jcp.org/en/jsr/detail?id=381
https://github.com/JavaVisRec/visrec-api/wiki/Getting-Started-Guide
21:51 How Digma is using is AI
https://digma.ai/
https://foojay.io/today/not-your-grandfathers-logs-a-java-librarys-new-approach-to-observability/
https://foojay.io/today/java-developer-vs-chatgpt-part-i-writing-a-spring-boot-microservice/
https://foojay.io/today/announcing-the-digma-beta-first-runtime-linter-for-java-code/
https://foojay.io/today/effective-coding-with-java-observability/
https://foojay.io/today/observing-java-applications-running-via-docker-compose-using-opentelemetry/
28:07 Will generated code be harder to debug?
https://foojay.io/today/java-developer-vs-chatgpt-part-i-writing-a-spring-boot-microservice/
32:29 Why companies don’t allow ChatGPT
34:53 Using these tools correctly (and locally?)
44:07 This is just the start of the evolution
48:05 What will AI bring to Java developers?
https://www.baeldung.com/java-project-panama
50:59 Involve other industries in the AI revolution
54:44 Machines don’t have emotions…
55:29 Conclusion
59 episodes
Manage episode 377753997 series 3366865
Artificial Intelligence and ChatGPT are the talk of the town. Every conference has several talks about these technologies, and on Foojay, you can find multiple posts about it. In this podcast, we want to take a look at it from the Java point of view. How can we use AI in Java programs or our job as a developer?
Guests
Zoran Sevarac
https://www.linkedin.com/in/zoran-sevarac-phd-49a9a411/https://foojay.social/@zsevarac
https://twitter.com/zsevarac
Frank Greco
https://www.linkedin.com/in/frankdgreco/
https://twitter.com/frankgreco
https://www.javasig.com/
Roni Dover
https://www.linkedin.com/in/ronidover/
https://twitter.com/doppleware
Podcast
Host: Frank Delporte
https://foojay.social/@frankdelporte
https://twitter.com/FrankDelporte
Content
00:00 Intro and introduction of the guests
02:31 Difference between AI, ML, DL, CV,…
06:30 How ChatGPT and LLMs works
07:50 AI with Java and DeepNetts
https://www.deepnetts.com/
10:42 NYJavaSIG and how AI and ML are influencing the content
13:06 LLM is pattern matching, not a search tool
13:41 Java developers want to develop this with Java
15:03 Foojay articles about Java, AI, and DeepNetts
https://foojay.io/today/getting-started-with-deep-learning-in-java-using-deep-netts/
https://foojay.io/today/visual-recognition-for-chess-with-deep-learning-in-java-on-android/
https://foojay.io/today/deep-learning-in-java-for-drug-discovery/
https://foojay.io/today/quick-start-with-machine-learning-in-java/
17:40 Java Specification Request 381: Visual Recognition Specification
https://jcp.org/en/jsr/detail?id=381
https://github.com/JavaVisRec/visrec-api/wiki/Getting-Started-Guide
21:51 How Digma is using is AI
https://digma.ai/
https://foojay.io/today/not-your-grandfathers-logs-a-java-librarys-new-approach-to-observability/
https://foojay.io/today/java-developer-vs-chatgpt-part-i-writing-a-spring-boot-microservice/
https://foojay.io/today/announcing-the-digma-beta-first-runtime-linter-for-java-code/
https://foojay.io/today/effective-coding-with-java-observability/
https://foojay.io/today/observing-java-applications-running-via-docker-compose-using-opentelemetry/
28:07 Will generated code be harder to debug?
https://foojay.io/today/java-developer-vs-chatgpt-part-i-writing-a-spring-boot-microservice/
32:29 Why companies don’t allow ChatGPT
34:53 Using these tools correctly (and locally?)
44:07 This is just the start of the evolution
48:05 What will AI bring to Java developers?
https://www.baeldung.com/java-project-panama
50:59 Involve other industries in the AI revolution
54:44 Machines don’t have emotions…
55:29 Conclusion
59 episodes
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