Viewing profile — galgia

Old school aesthetic and new learning concepts. The whole mastery plan consists of 18k puzzles. Split by each tactical concept, each piece, each square. Example: Unique chess squar…

Every time I start a new project I have to collect the data and guide clients through the first few weeks before I get some decent results to show them. This is why I created a lib…

Good point! LLMs are best when you are starting from point 0.

LLMs are not the most efficient way to solve the problem, but they can solve it.

Exactly, scale after you need to.

Yes, LLMs are not always the best option, they are an option. Sometimes requirements of the project are such that they are also the best option. There is one browser that uses pric…

+ I assumed that most people will ctrl+a -> ctrl+c -> ChatGPT -> ctrl+v

I belive that LLMs will become better and better in the near future and pipelines will replace classic approaches with LLM-enriched pipelines will drastically simplify the ETL flow…

If your problem is compute, you are already optimizing. This is here for all the steps before you start thinking latency-compute. Not all use cases are made equal.

I see it as a gray area - long term there will be a need for both and you will have just one tool to choose from when presented with time-budget-quality constraints.

You are right! This is here to be used when your resources do not allow you to build full-blow solutions. Yes, I used LLMs to help create examples from my existing code, but they a…

Exactly!