axiom92
Joined 11 years ago
Joined 11 years ago
https://www.reddit.com/r/ChatGPT/comments/14sqcg8/anyone_els...
Afaik PaLM (Google's OG big models) tried this trick, but it didn't work for them. I think it's because PaL used descriptive inline comments + meaningful variable names. Compare the following:
```python
# calculate the remaining apples
apples_left = apples_bought - apples_eaten
```
vs.
```python
x = y - z
```
We have ablations in https://arxiv.org/abs/2211.10435 showing that both are indeed useful (see "Crafting prompts for PAL").
There is a "start thread" option below every conversation. You can also read the responses aloud (helpful if you want to do something async).
I collected a few other text-diffusion early references here about 3 years ago: https://github.com/madaan/minimal-text-diffusion?tab=readme-....
Although, it seems it's only going to cover the first book (which makes sense, given how difficult the other two would be to film). The real magic for me was in book 3. It was inspiring to see someone think so far out, so boldly.
[1] https://www.cnbc.com/2023/03/24/openai-ceo-sam-altman-didnt-...
Wow, interesting. Do you have any example for this?
I've realized that LLMs are fairly good at string processing tasks that a really complex regex might also do, so I can see the point in those.
for those wondering: no this is not the norm. My lab at CMU doesn't own any A100s (we have A6000s).