Writing almost-boilerplate APIs seemed like a waste of time and clients' money. We've tried several existing code generators and ended up writing our own from scratch.
Big Data engineers provide the critical infrastructure and tools required for processing, storing, and analyzing the vast amounts of data AI systems need.
The main concept behind all of them is to unite AI's summarization, aggregation, and conversational capabilities with the immense knowledge base of the StackOverflow community.
Each time some data is exchanged using files, a red flag should pop up, and you should ask yourself – what is a better way to do this? There probably is one.
He has a weird hobby, he says: collecting old computers and making them do something modern they were not made to do. Like connecting to the internet or training a ML model.
The term is straightforward: Finance + DevOps. But do you know what isn’t straightforward? Making all of the stakeholders - executives, engineers, FinOps practitioners, operations, finance, and procurement - work together.