What a range of really interesting responses in this thread, thanks for taking the time to post. In 10 years I'll be approaching a milestone age (like I am now). I hope to still be an active father for my kids, to have enough money and investments to feel financially comfortable, to be pursuing more of my interests than work.
I got a Masters in Software Development, part time evenings, studied over 3 years. I don't think it's strictly necessary, but in my experience, it doesn't harm your prospects. I think it's nice to have the combination of experience and education, personally. Certainly don't underestimate the commitment if you study in your spare time. Also, you may enjoy the course, work on new things, meet new people - all can be valuable in their own right.
Congratulations on launching, great idea. Can I ask you about AWS lambda for the email sending. Did you integrate with a third party email service, or node mailer, or just a Gmail (I believe they get throttled at 500 emails per day). Or does AWS send the emails? I'm working on a project that needs emails to go automatically and I'm not sure on the best implementation yet, I'm leaning towards the Gmail option but don't want to hit the limit. Thanks
As an alternative you could appoint a software services business to build it for you, to your specifications, then they step back responsibly handing it off to your business. It's more expensive but they will be off your books in 6 to 12 months unlike if you hired your own team. You'd hire a small team to maintain the system, rather than a large one to build it.
I wonder if there is a technological way to reduce this number, and also if the number was reduced, how this might impact the environment through hundreds of millions more birds living.
I came to the conclusion, personally, that a non technical co-founder should spend the time to become technical. I'm sure it's not needed in all cases, but for me, it was the right path.
If you go to the OpenAI developer forum, and search for this thread, there are lots of academic papers "Foundational must read GPT/LLM papers". I just graduated from a masters a few days ago, so can appreciate the hard work involved. Good luck, it'll be worth it!
Following up on my own question. I re-read the github, so I can clarify my question better. So the AI agent responses are saved to a database where the human sme can classify responses as good/bad right? Do you intend for the result of this analysis to retrain the AI agent, or is it purely to get a baseline on the as-is AI agent quality?
Hey team, nice work. Can you help me understand this better. How does the process work in terms of the human agent evaluations? Is it real time so that the right (maybe a better word is best) answers go to users as they are needed, or is it done asynchronously/batch style so that the humans are training models to be better? Once the best answers are selected, is it fed back into an LLM / AI agent model? Thanks
Personal home pages for individuals and families, they were always warm and friendly. Also, internet cafes, the first time I used the internet I went to one and looked up the X-Files homepage. I also remember chat rooms where you could use a telephone handset to talk to people.