Pandabob

I basically jump away from Cursor to ChatGPT when I need to think thoroughly on something like an architecture decision or an edge case etc. Then when I've used ChatGPT to come up with an implementation plan, I jump back to Cursor and have Claude do the actual coding. O3 and ChatGPT's search functionality are just better (at least for myself) currently for "type 2" thinking tasks.

Feels to me that it's Google which has done the most recently to optimize the cost/performance-ratio of these models and no one seems to be talking about it.

Truly one of the great python programming books. The one thing that I found missing was the lack of static typing in the code, but that was a deliberate decision by the authors.

While I don't have firsthand experience with these models, I recently discussed this topic with a friend who has used tree-based models like XGBoost for time series analysis. They noted that transformer-based architectures tend to yield decent performance on time series tasks with relatively little effort compared to tree models.

From what I understood, tree-based models can usually outperform transformers when given sufficient parameter tuning. However, models like TimeGPT offer decent performance without extensive tuning, making them an attractive option for quicker implementations.

Came here to point this out. Silo never had to invest huge amounts on GPUs. A shrewd move by the founders.

Have not heard of these. Where can I learn more about them?

When was this? I might go chasing this lead down, but even a fuzzy estimation of when would help. Will come link it here if I find it.

This seems really cool, but I guess most companies in the EU won't dare to use this due to GDPR concerns and instead will opt-in for the Azure version, where you can choose to use GPT-models that are hosted in Azure's EU servers.

Alas the license is CC-BY-NC 4.0.

This baffles me. I signed up for the GPT-4 API on Tuesday and got access to it yesterday. Not to mention being able to interact with the model through ChatGPT almost immediately after they made it available.

The new ChatGPT API is really good at this. I had it create fake documents for a demo, where hallusinations were not an issue. Really surprised at how well it worked.