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Gorilla: Training and Evaluating LLMs for Function Calls (Tool Calls)
I would like to request the following features for the LLM project: 1. A tutorial on how to train/finetune my LLM to use my private API. This would allow me...
I would like to know, if you are going to share, how to generate the APIBench code
Users have no way to confirm the success of API recommendations. This should be accomplished directly in the commandline.
Can we do Few shot learning on top Gorilla API to teach a different set of API's. Say making set of microservices API calls. If yes, can you share some...
**Describe the solution you'd like** Hi, Do you plan on fine-tuning a gorilla model on LLama 2? Would love to have a llama-2-gorilla since it has a more permissible license...
close #123
### Issue Description Hey there fellow contributors and maintainers! **Issue Summary:** We need to set up the necessary workflows for Pull Requests (PRs) and pushes to improve our Python project's...
Cosmetic edits to the codebase. No change in functionality. Close #106 Close #107
### Model description Introducing a groundbreaking research paper that explores the potential of unified multimodal learning, revolutionizing the way we process and integrate diverse data types such as text, images,...
**Describe the issue** Loading Gorilla Dataset using HuggingFace gives a `json.decoder.JSONDecodeError: Extra data: line 2 column 1 (char 2103)` **ID datapoint** 1. Datapoint permalink: https://huggingface.co/datasets/gorilla-llm/APIBench 2. Provider: TorchHub/HuggingFace/PyTorch Hub 2....