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.
> “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.
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.
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.
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
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.