[logseq-plugin-git:commit] 2025-07-15T16:02:42.737Z
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@@ -6,8 +6,8 @@ progress:: {{renderer :todomaster}}
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- ### Tasks
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-
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- ### Notes
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- First day [[15-07-2025]]
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- Points for discussion
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- ## First day [[15-07-2025]]
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- ### Points for discussion
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- Exciting and scaring times
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- GenAI / Agentic systems:
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- Hype? What will remain?
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@@ -15,6 +15,24 @@ progress:: {{renderer :todomaster}}
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- It's not a matter of visibility!
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- Understand what it is needed and how to cooperate
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- Can we come up with some cross-group collaboration
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- [SwissLLM - Generative-KI-Lösungen Made in Switzerland](https://www.swissllm.ch/)
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- **Simplify** - [Progetti Finanziati - Apprendo](https://apprendo.tech/progetti-finanziati/)
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-
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- [SwissLLM - Generative-KI-Lösungen Made in Switzerland](https://www.swissllm.ch/)
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- **Simplify** - [Progetti Finanziati - Apprendo](https://apprendo.tech/progetti-finanziati/)
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- Paper on object-oriented programming published on 1984 that seems to be similar to what is happening nowadays with generative AI
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- ### Topics
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- Generative AI in software development lifecycle
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- Tools that provide users / delelopers with additional automation capabilities that need to be mastered. Many time we read that we should not accept AI as it i but somehow we have to master it
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- I'm convinced that such tools represent one the one hand a multiplier of our capabilities and on the other hand the subject of investigations
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- Ethical Aspects
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- Empirical Studies
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- Empirical studies vs the empirical validation of the approach you are proposing
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- I can agree that requests on the empirical validation is getting tremendously on the one hand critical and on the other hand very demanding
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- The availability of data like GitHub etc. initiated the field of mining software repositories field, which is similar what happens since decades in other discplines (like biology, etc.)
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- Software sustainability
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- What's the meaning?
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- ### More
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- How do we use LLMs?
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- for our daily tasks
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- if we use it for software development
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- Who should develop tools including LLMs?
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- Training and fine-tuning existing models
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- Discrimination of universities depending on their possibility of training/fine-tuning
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