vasili111

Any recommendations to achieve that?

What do you men? Can you please tell me more about it?

If I know technology which I am using llm for then llm helps me to do it faster. If I am not familiar with technology then llm helps me to learn it faster by showing me win the code that it generates which part of technology is important and how it works in real examples. But I do not think it is helpful and I would say it may be dangerous depending on task you do if you do not know technology and also do not what to learn it and understand how generated code works.

AI is not a bubble and already bring real benefit and will bring even more in future. It will spread more and at some point it will became so common that we will just use it and just talk less about it. For example, same happened with mobile phones, at first everybody was talking about them but now everybody just use them and does not talk much about it.

From article:

> Nadella remains close to Altman.

> “One of the things I love about Sam is every day he’s calling me and saying, ‘I need more, I need more, I need more,’” Nadella told The New York Times in a recent interview.

Links that you have provided are good for learning how deep learning in general and LLMs in particular work. But if you are interested in only building the products based on existing models (like GPT models from OpenAI) you will not need those details of inner work and how those model are created. In that case learn from OpenAI documentation, Azure OpenAI documentation, Azure AI services documentation and etc.

Large Language models are pre-trained by creators on the huge data.

In many cases you do not need to do anything with LLM and you can just use it.

If they were not trained on the data that contains information that you are interested then you can use technique called RAG (Retrieval-Augmented Generation).

You also can do fine-tuning which is kind of training but on small amount of data.

Hacker News

It is not only “just making API calls”. In many cases you need to do mote than that, like RAG, constructing prompt, data pipeline for whole process, etc.

To do statistical analysis Yes. To develop statistical software or novel statistical methods No.

Maybe you are replying to wrong comment. I am not suggesting anything. I am asking the question if it is often the case that someone who is applying to programming job truly does not know how to program.

> I’d listen as I’m really just looking to filter out people who can’t code at all (a surprisingly large number of people).

Do you mean that people are applying to the programming job without knowing how to program?

If you compare containers to VM then for me containers worth it because I do not need to manage OS. I use containers in cloud. But everything depends on you use case and resources that you have

AWS is not only hardware but also software, documentation, support and more.

Not everyone knows how to use API.

I do not think that is currently possible. Windows has support that no other OS has. Most big companies use Windows for workstations. Windows does not currently have alternative in that area and we cannot just throw it away without real alternative.

Robots. I think humanity needs that something will do non-intellectual work for us, like cleaning and etc. This I think will increase humanity happiness more than something doing intellectual work.

If the discussion is about the interesting topic I will start from top and go to bottom while collapsing discussions which I have read with “-”.

> but i learnt hard lessons on how to not applying for the wrong company.

Can you share what you have learned?

I think you should use as least dependencies as possible.

If it is "about life as well" you may benefit from counseling.

Also, maintaining healthy lifestyle will also help.

>full-on AI Rockstar

What is your daily work look like? What is your salary?

For PyTorch, while I have not learned it myself yet but I am planning to learn it and I have heard that it is good course for it https://www.freecodecamp.org/news/learn-pytorch-for-deep-lea...

How good are you in math? Do you know linear algebra and calculus?

I truly like HN as is. Simple and does what it should do.

Any other advices you can give to person that is interested in doing same thing?

That sounds very interesting. How you find founders? Which ways do you recommend?

How you are generating ideas about which startup to make?

Which math to learn to be on your level?

How much math is truly necessary to work as MLE in a company where you do not need to write papers but need to deliver working ML systems?