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I built a web scraper that runs in terminal, it was trial and error to get it working. If I was doing it again now I'd use chatgpt to help learn it


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'm in a similar position to you. I'm trying to do this with Firebase.


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.


Thank you all for the recommendations.


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!


Congrats on graduating! I will check out that thread, appreciate the guidance!


I second this


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


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?


Indeed the evaluations are saved to DB. Right now it's possible to use this for regression testing with the help of the Optimize tab. In the optimize tab you can experiment with changing an input parameter (such as prompt or temperature, etc), then rerun recordings and see whether the the LLM response matches all previously accepted recordings or not - to see a similarity score which tells you if your change introduced regressions or not.

In the future we are planning to enable a retraining pipeline - most likely we will do this in our core offering at usefini.com


Thank you for explaining


Hi smarri, I hope you're well.

Sorry this might not be the best place to ask, but a few months ago you posted on my thread about a a part time, remote, Masters Degree in Software Development in the UK of which businesses recruit directly from - my apologies for the late reply, but could I get in touch with you to have more details?


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.


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