Show HN: Enhancing GPT with domain knowledge using vector databases https://ift.tt/akyhbq7

Show HN: Enhancing GPT with domain knowledge using vector databases Hey HN, Autoregressive language models such as GPT and LLaMA have a tendency to hallucinate when asked about out-of-domain questions. An easy way to minimize these hallucinations is to supply LLMs with external sources of domain-specific data using a vector database. To this end, we built OSSChat, a GPT- and Zilliz-powered project that you can use to ask questions about, summarize, and analyze open source projects by indexing the documentation and automatically searching for relevant documents when asking a question (these documents are then injected into the LLM as prompt). While we decided to focus on open source projects - Pytorch, Transformers, and Milvus - for now, OSSChat is easily extensible to a variety of other types of data. We are committed to adding support for more projects in the future, so don't hesitate to let us know your favorite project! site: https://osschat.io discord: https://ift.tt/mtofWNb blog: https://ift.tt/vrZ76XJ Enjoy the project! https://osschat.io April 4, 2023 at 10:54PM
Show HN: Enhancing GPT with domain knowledge using vector databases https://ift.tt/akyhbq7 Show HN: Enhancing GPT with domain knowledge using vector databases https://ift.tt/akyhbq7 Reviewed by Unknown on April 04, 2023 Rating: 5

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