rjb7731
No user record in our sample, but rjb7731 has activity below (stories or comments). Likely we have partial data — the full bulk-load will fill profiles in.
No user record in our sample, but rjb7731 has activity below (stories or comments). Likely we have partial data — the full bulk-load will fill profiles in.
Isn't this similar to the Deepmind paper on long form factuality posted a few days ago? https://arxiv.org/abs/2403.18802 https://github.com/google-deepmind/long-form-factuality/tree...
I've previously noticed when playing with GPT-4 it can sometimes 'autocomplete' on different sections of the text its feeding back, sometimes what looks like 4 or more different sections. Might be unrelated but is this…
Its interesting this paper & the Orca LLM paper from Microsoft are using GPT3/4 model outputs to train 'powerful' models. Big question is will they allow your average joes/businesses to do the same on their own data?…
Seems not too bad, you can tell its been trained on shorter responses. Example #1 Input: explain a neural network in simple terms Alpaca-Output: A neural network is a type of machine learning algorithm that is made up…
With the 7B none-instruction tuned you have to really pre-prompt it to get good answers to things so like: SYSTEM: You are an AI research assistant. You use a tone that is technical and scientific. USER: Hello, who are…
The inference on the gradio demo seems pretty slow, about 250 seconds for a request. Maybe I am too used to the 4-bit quant version now ha!
if you look in the dev tools you will see a request to a 'join' file when you click the agree button it adds you to a queue. You can watch where you are up to in the dev tools.
Even with patience, I can see nothing happening in the dev tools when i click agree? Edit: From looking when you click agree you can see a request to a 'join' file with a 101 status, looks like a queuing system and I'm…
interesting, looks like the web demo doesn't work at the moment though. The prompt.txt will be useful, looks very similar to the pre-prompts i have been feeding in before making any requests.
Looks like it might be no bueno on google colab for now, chatbot.py takes prompts via input() too rather then a command line argument.
I wish him the best, I find his streams incredibly useful and they motivate me to be better at solving problems and coding. Hopefully he still does work on AGI and makes tinygrad even cooler.