GPT-J 6B is a transformer model trained using Ben Wang's Mesh Transformer JAX. "GPT-J" refers to the class of model, while "6B" represents the number of trainable parameters. Model link:
GPT-J-6B, an open-source autoregressive language model developed by the EleutherAI research group, offers a highly advanced alternative to OpenAI's GPT-3. This model demonstrates exceptional performance across various natural language processing tasks. GPT-J, in addition to its impressive performance on a wide range of natural language tasks, notably surpasses GPT-3 in code generation tasks.
It can be used in various applications:
- Sentiment Analysis
- code generation
- Entity Extraction (NER)
- Question Answering
- Grammar and Spelling Correction
- Language Translation
- Tweet Generation
- Chatbot and Conversational AI
- Intent Classification
- Paraphrasing
- Summarization
- Keyword and Keyphrase Extraction
- Product Description and Ad Generation
- Blog Post Generation