FastChat-T5-3B

FastChat-T5 is an open-source chatbot that generates responses to user inputs using autoregressive language modeling. It is built on the Flan-t5-xl model, which has been fine-tuned on user-shared conversations from ShareGPT.

Key features:
- Open-source, available under the Apache License 2.0
- Fine-tuned on 70,000 conversations collected from ShareGPT.com
- Employs an encoder-decoder transformer architecture for effective encoding of user inputs and generation of coherent, contextually relevant responses
- Generates responses in a conversational manner, making it suitable for chatbot applications
- Fine-tuned for 3 epochs with a maximum learning rate of 2e-5, warmup ratio of 0.03, and cosine learning rate schedule
- Quality preliminarily evaluated using a set of 80 diverse questions judged by GPT-4

How it works:
FastChat-T5 processes input data in the form of question-answering pairs, where each ChatGPT response is treated as an answer, and previous conversations between the user and ChatGPT are treated as the question. The encoder part of the model bi-directionally encodes a question into a hidden representation, which the decoder then uses, applying cross-attention to generate an answer uni-directionally from a start token.

Integrations:
FastChat-T5 supports integration with various APIs and platforms, as indicated by its open-source nature and the Apache License 2.0. The model's design and open-source availability suggest it can be integrated into a wide range of applications and services that require conversational AI capabilities.

Use of AI:
FastChat-T5 leverages generative artificial intelligence through its foundation on the Flan-t5-xl model, which is based on the transformer architecture. This architecture enables the model to understand context and generate coherent and contextually relevant text. The fine-tuning process on conversations from ShareGPT further enhances its ability to generate human-like responses in chatbot applications.

AI foundation model:
FastChat-T5 is built on the Flan-t5-xl model, which has 3 billion parameters.

How to access:
FastChat-T5 is available as a model that can be integrated into applications via APIs or SDKs, given its open-source status. This makes it accessible for a wide range of applications, from web apps to mobile apps, where conversational AI can enhance user experience.

FastChat-T5 was developed by a team led by Dacheng Li, Lianmin Zheng, and Hao Zhang, and was launched in April 2023. Its primary users are entrepreneurs looking to incorporate conversational AI into their products and researchers in fields related to natural language processing, machine learning, and artificial intelligence.