This GPT(Generative PRe Trained Transformer) is used to summarize the documents that we give as an input to this Large Language Model(LLM) and also we can chat with the local GPT. For NLP projects it gives high concurrency and accurate results as it supports CPU, GPU as well as TPU. Review collected by and hosted on G2.com.
It is having limited knowledge and does not work on dynamic data like current stock markedt predictions as it does not have any real time data summarization tchniques. Also it can be expensive for large datasets as it uses lot of memory. Review collected by and hosted on G2.com.