Table of Links Abstract and 1. Introduction 2 Related works 3 Methodology and 3.1 Causal language model as a classification model 3.2 Functional token 3.3 Dataset collection 3.4 Model development and training 4 Experiments and 4.1 Android function calls 4.2 Extension to Vehicle, Yelp, and DoorDash function sets 4.3 Full and partial training datasets and 4.4 Full training and LoRA training 4.5 Parallel and nested function call and 4.6 Weighted loss function for special tokens 5 Discussion and future works and References AppendixA.1 Android function examples A.2 Vehicle function examples A.2 Vehicle function examples This paper is available on arxiv under CC BY-NC-SA 4.0 DEED license. Authors: (1) Wei Chen, Stanford University, with equal contribution and a corresponding author {weichen6}@stanford.edu; (2) Zhiyuan Li, Stanford University and a corresponding author {zhiyuan8}@stanford.edu.
Octopus v2: Vehicle Function Examples
HA
HackerNoonBy Language Models (dot tech)
EXECUTIVE SUMMARY
Vehicle function examples to go over - Octopus v2 On-device language model for super agent
Key Takeaways
- Octopus v2: Vehicle Function Examples.
- Vehicle function examples to go over - Octopus v2 On-device language model for super agent Table of Links Abstract and 1.
Read Complete Original Article
Published originally on HackerNoon




