Interpretable and efficient predictors using pre-trained language models. Scikit-learn compatible.
MIT License
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Published by csinva about 2 years ago
Code release accompanying paper with simple sklearn interface.
Automatic Generation of Visualizations and Infographics using Large Language Models
General technology for enabling AI capabilities w/ LLMs and MLLMs
The implementation of DeBERTa
Bridging LLM and Recommender System.
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
JARVIS, a system to connect LLMs with ML community. Paper: https://arxiv.org/pdf/2303.17580.pdf
Large Language-and-Vision Assistant for Biomedicine, built towards multimodal GPT-4 level capabil...
MASS: Masked Sequence to Sequence Pre-training for Language Generation
Unified-Modal Speech-Text Pre-Training for Spoken Language Processing
CodeBERT
Generating and validating natural-language explanations.
[CVPR 2023] Official Implementation of X-Decoder for generalized decoding for pixel, image and la...
Dedicated to building industrial foundation models for universal data intelligence across industr...
Large-scale pretraining for dialogue
This repository contains resources for accessing the official benchmarks, codes, and checkpoints ...