GPT-o1, Claude-3.5 new,... those models are capable to write quite good code. I think it just need a workflow (make be Github Action) to make it possible.

Went thru the document: https://slatedb.io/docs/introduction/#use-cases I can not understand why are they targeting the following use cases with this architecture. * Stream processing * Serverless functions * Durable execution * Workflow orchestration * Durable caches * Data lakes

ChatGPT definitely can do the work. I used Google search for git command when I was a beginner. But I met the situation of losing all the changes with a single git command. This tool may be helpful for beginners. It can explain commands and also raise red flags for risky commands.

Thanks for the feedback. I made a few updates. Would you mind having another try? The new version give you more options to tune the generation, including analyzing your social account posts (support HN, working on X and Linkedin). https://www.gitdevtool.com/social-share

I think for some engineers, great engineering blog posts can build their technical reputation.

I think ChatGPT Plus should be the main driver for revenue growth.

im talking about clients who benefited from gpt, not openai

A free course designed for people with some coding experience, who want to learn how to apply deep learning and machine learning to practical problems.

Our findings reveal that while unsupervised fine-tuning offers some improvement, RAG consistently outperforms it, both for existing knowledge encountered during training and entirely new knowledge. Moreover, we find that LLMs struggle to learn new factual information through unsupervised fine-tuning, and that exposing them to numerous variations of the same fact during training could alleviate this problem.