[andreilys]

1. Content Generation:

LLMs can be used to generate high-quality, human-like content such as articles, blog posts, social media posts, and even short stories. Businesses can leverage this capability to save time and resources on content creation, and improve the consistency and quality of their online presence.

2. Customer Service and Support:

LLMs can be integrated into chatbots and virtual assistants to provide fast, accurate, and personalized responses to customer inquiries. This can help businesses improve their customer experience, reduce the workload on human customer service representatives, and provide 24/7 support.

3. Summarization and Insights:

LLMs can be used to analyze large volumes of text data, such as reports, research papers, or customer feedback, and generate concise summaries and insights. This can be valuable for businesses in fields like market research, financial analysis, or strategic planning.

4. HR Candidate Screening:

Use case: Using LLMs to assess job applicant resumes, cover letters, and interview responses to identify the most qualified candidates. Example: A large retailer integrating an LLM-based recruiting assistant to help sift through hundreds of applications for entry-level roles.

5. Legal Document Review:

Use case: Employing LLMs to rapidly scan through large volumes of legal contracts, case files, and regulatory documents to identify key terms, risks, and relevant information. Example: A corporate law firm deploying an LLM tool to streamline the due diligence process for mergers and acquisitions.

[Nullabillity]

> 1. Content Generation:

Spam isn't a feature. See also, this whole message that could just have been the headlines.

> 2. Customer Service and Support:

So… less clear than the website and not empowered to do anything (beyond ruining your reputation) because even you don't trust it?

> 3. Summarization and Insights:

See 1, spam isn't a feature. This is just trying to undo the damage from that (and failing).

> 4. HR Candidate Screening:

> 5. Legal Document Review:

If it's worth doing, it's worth doing well.

[slidehero]

This seems unecessarily negative to me.

>Content Generation

I'm working on AI tools for teachers and I can confidently say that GPT is just unbelievably good at generating explanations, exercises, quizes etc. The onus to review the output is on the teacher obviously, but given they're the subject matter experts, a review is quick and takes a fraction of the time that it would take to otherwise create this content from scratch.

[theappsecguy]

Dear lord, if someone started relying on LLMs for legal documents, their clients would be royally screwed…

[KoolKat23]

They're currently already relying on overworked, underpaid interns who draft those documents. The lawyer is checking it anyway. Now the lawyer and his intern have time to check it.

[meroes]

I’ve been doing RLHF and adjacent work for 6 months. The model responses across a wide array of subject matter are surface level. Logical reasoning, mathematics, step by step, summarization, extraction, generation. It’s the kind of output the average C student is doing.

We specifically don’t do programming prompts/responses nor advanced college to PHD level stuff, but it’s really mediocre at this level and these subject areas. Programming might be another story, I can’t speak to that.

All I can go off is my experience but it’s not been great. I’m willing to be wrong.

[roenxi]

> It’s the kind of output the average C student is doing.

Is the output of average C students not commercially valuable in the listed fields? If AI is competing reliably with students then we've already hit AGI.

[southernplaces7]

Except for number 3, the rest are more often disastrous or insulting to users and those depending on the end products/services of these things. Your reasoning is so bad that i'm almost tempted to think you're spooning out PR-babble astro-turf for some part of the industry. Here's a quick breakdown:

1. content: Nope, except for barrel-bottom content sludge of the kind formerly done by third world spam spinning companies, most decent content creation stays well away from AI except for generating basic content layout templates. I work as a writer and even now, most companies stay well away from using GPT et al for anything they want to be respected as content. Please..

2. Customer service: You've just written a string of PR corporate-speak AI seller bullshit that barely corresponds to reality. People WANT to speak to humans, and except for very basic inquiries, they feel insulted if they're forced into interaction with some idiotic stochastic parrot of an AI for any serious customer support problems. Just imagine some guy trying to handle a major problem with his family's insurance claim or urgently access money that's been frozen in his bank account, and then forced to do these things via the half-baked bullshit funnel that is an AI. If you run a company that forces that upon me for anything serious in customer service, I would get you the fuck out of my life and recommend any friend willing to listen does the same.

3. This is the one area where I'd grant LLMs some major forward space, but even then with a very keen eye to reviewing anything they output for "hallucinations" and outright errors unless you flat out don't care about data or concept accuracy.

4. For reasons related to the above (especially #2) what a categorically terrible, rigid way to screen human beings with possible human qualities that aren't easily visible when examined by some piece of machine learning and its checkbox criteria.

5. Just, Fuck No... I'd run as fast and far as possible from anyone using LLMs to deal with complex legal issues that could involve my eventual imprisonment or lawsuit-induced bankruptcy.

[KoolKat23]

2.I think you overestimate the caliber of query received in most call centres. Even when it comes to private banks (for those who've been successful in life), the query is most often something small like holding their hand and telling them to press the "login" button.

Also these all tend to have an option where you simply ask it and it will redirect you to a person.

Those agents deal with the same queries all day, despite what you think your problem likely isn't special, in most cases may as well start calling the agents "stochastic parrots" too while you're at it.