Good job for this article! I mostly agree with the benefits of generative AI for thrunting tasks. However, I also think that analysis for pattern and anomaly detection would be better with traditional deep learning algorithms rather than LLM's generative AI. Just pass the data structure and field statistics to LLM, limit it to selecting a good detection algorithm, and run the DL analysis locally according to that algorithm. This way, there seems to be no need to worry about data privacy.
I have to ask: Which llm do you prefer?
ChatGPT 😅
CLAUDE!
Nice article!
Thanks for sharing the article. Any ideas on implementing this locally?
Good job for this article! I mostly agree with the benefits of generative AI for thrunting tasks. However, I also think that analysis for pattern and anomaly detection would be better with traditional deep learning algorithms rather than LLM's generative AI. Just pass the data structure and field statistics to LLM, limit it to selecting a good detection algorithm, and run the DL analysis locally according to that algorithm. This way, there seems to be no need to worry about data privacy.