kjappelbaum gptchem issues

kjappelbaum / gptchem

https://gptchem.readthedocs.io/en/latest/

MIT License

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issues

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chore: remove build details in conda yml file

#26 kjappelbaum opened 3 months ago
1
Inaccessible examples

#25 nicodomschke opened 5 months ago
4
Installer doesn't work (anymore) ?

#24 DocMinus opened 6 months ago
3
InvalidRequestError

#23 llmlrnr opened 6 months ago
1
Doesn't work with the lastest openai package or API url

#22 liyupeng111 opened 7 months ago
1
logit bias and multioutput support

#21 kjappelbaum opened 11 months ago
1
deprecate binning code in classifier

#20 kjappelbaum opened 11 months ago
0
if there is no tuner it should default to `ada`

#19 kjappelbaum opened 11 months ago
0
cache API calls

#18 kjappelbaum opened 11 months ago
0
multistage fine-tuning for class-imbalance

#17 kjappelbaum opened 11 months ago
0
set logit biases for classification

#16 kjappelbaum opened 11 months ago
1
allow to continue fine-tune

#15 kjappelbaum opened 11 months ago
0
allow to use model just with the fine-tune id

#14 kjappelbaum opened 11 months ago
0
feat: refactor and API updates

#13 kjappelbaum closed 11 months ago
1
no results even though fine tuning was successful

#12 kjappelbaum opened 11 months ago
0
switch to new fine tuning API

#11 kjappelbaum opened 11 months ago
0
make matplotlib dependendency optional

#10 kjappelbaum opened 11 months ago
0
evaluator docs do not show

#9 kjappelbaum opened 11 months ago
0
instead of pyratelimit us exponential backoff

#8 kjappelbaum opened 11 months ago
0
format_data does not exist

#7 bmiles closed 1 year ago
1
empty prediction

#6 venuv opened 1 year ago
3
the costs of fine-tune

#5 TheCutestCat opened 1 year ago
5
chore: add additional experiments and clean install

#4 kjappelbaum closed 1 year ago
1
release on PyPi

#3 kjappelbaum closed 1 year ago
1
Limit on number of training points?

#2 asoyemi1 closed 1 year ago
8
use mixin for binning in formatter

#1 kjappelbaum opened 1 year ago
0