danysdragons

Yeah, I would tell them not to be so insecure about being AIs - own it!

It is good, but the free subscription to Poe only provides access to Claude Instant. It's impressively fast but not their smartest model (claude-v1.3).

The OpenAI APi has model checkpoints, right now the chat options are:

gpt-4 gpt-3-5-turbo gpt-4-0314 gpt-3-5-turbo-0301

I had a similar impression from what I saw. Maybe it does perform as well as GPT-3 on narrow tasks that it was explicitly fine-tuned on, but that similarity in performance seems to collapse as soon as you go off the beaten track and give it harder tasks that involve significant reasoning. Consistent with that I've seen a few different sources claim that a small model fine-tuned off the outputs of a large one would likely struggle with unfamiliar tasks or contexts that require transfer learning or abstraction.

After seeing how it actually performs in practice, it's hard to have confidence that these benchmarks are reliable measures of model quality.

Are there any podcasts that you would especially recommend for building conversational prowess?

It took a look at your first link - Lucidity looks pretty neat, but is there a way to try it out? I didn't see it in your GitHub.

The article argues that while the language is way cool in principle, the current implementation is bug-ridden and has poor error-handling. But as the HN title acknowledges, the article was written in 2014, when the Julia version was only 0.4. Since then it's been four years, and Julia only recently hit 1.0. It would be much more interesting to see an article discussing the current state of the language.

I only recently learned myself that Jupyter notebooks do have code completion, triggered by hitting the tab button - although possibly you were thinking of something more advanced than that. In any case I'll check out your code on github.