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kjappelbaum
/
gptchem
https://gptchem.readthedocs.io/en/latest/
MIT License
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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