Almost every LLM application has an element of conversing or querying an AI based on some knowledgeset or tasks etc.

100% this web page (or similar) will be used to basically scam clients into overpaying for simple wrappers around llama_index or LangChain etc. Some people will spend a week wasting their time trying to fine-tune an open source LLM on some wholly inadequate dataset before realizing they can use OpenAI and something from github. But most will not admit that.

Sure, a few people doing basically research projects for a large company or university will find some of the information useful. But realistically, probably not so much if they have to actually deliver a working system in a reasonable amount of time that would justify the business expense.

No.. this information is for software engineers applying LLM's in their applications. I'm working on an LLM based system, and I'm just soloing a startup with no academic background and it's certainly no research project. I've been doing it for 3 months 1-2 hours per night and I've already applied half the patterns in this article.

I'll grant you that the way the author presents his ideas seems a bit academic, but I assure you all of this information is just the immediate things you run into as a software engineer trying to integrate LLM's into your systems. No one is jumping to finetuning before they've even tried GPT4 on their problem.