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History: 22 commits

Chen

Merge pull request #2 from NickNYU/feature/multi-docs

5819ffe unverified over 1 year ago

.idea
reformat well over 1 year ago
core
[bugfix]fix the cut-off issue due to LLM predict token limit(256 for openai python lib default), by setting temperature to 0 and set LLM predict method from compact-refine to refine over 1 year ago
dataset
[bugfix]fix the cut-off issue due to LLM predict token limit(256 for openai python lib default), by setting temperature to 0 and set LLM predict method from compact-refine to refine over 1 year ago
docs
reformat well over 1 year ago
langchain_manager
[bugfix]fix the cut-off issue due to LLM predict token limit(256 for openai python lib default), by setting temperature to 0 and set LLM predict method from compact-refine to refine over 1 year ago
llama
[bugfix]fix the cut-off issue due to LLM predict token limit(256 for openai python lib default), by setting temperature to 0 and set LLM predict method from compact-refine to refine over 1 year ago
xpipe_wiki
change to tree-summarize to try map-reduce over 1 year ago
.gitignore

1.97 kB

[bugfix]fix the cut-off issue due to LLM predict token limit(256 for openai python lib default), by setting temperature to 0 and set LLM predict method from compact-refine to refine over 1 year ago
.pre-commit-config.yaml

112 Bytes

add tools over 1 year ago
Makefile

163 Bytes

app.py fixable to match hugging-face's app portal over 1 year ago
README.md

1.24 kB

first edition over 1 year ago
app.py

1.19 kB

[bugfix]fix the cut-off issue due to LLM predict token limit(256 for openai python lib default), by setting temperature to 0 and set LLM predict method from compact-refine to refine over 1 year ago
local-requirements.txt

13 Bytes

reformat well over 1 year ago
pyproject.toml

370 Bytes

app.py fixable to match hugging-face's app portal over 1 year ago
requirements.txt

116 Bytes

[bugfix]fix the cut-off issue due to LLM predict token limit(256 for openai python lib default), by setting temperature to 0 and set LLM predict method from compact-refine to refine over 1 year ago