SingleStore is demonstrating ChatGPT as a way to retrieve data in SingleStoreDB, an integrated real-time transactional and analytical database.
The company hosted a webinar on April 25th to showcase how chatbots can be used against an organization’s personal data. ChatGPT is a large-scale language model generation AI product created by OpenAI that responds to complex natural language queries, searches public data sets, creates intelligent and comprehensive responses, and generates valid computer code. He surprised many with his ability to write. However, while that response is often correct, it can also be wrong.
The SingleStore webinar notes state: SingleStore is the database of choice for this because of its ability to store vector data, perform semantic search, and pull data from various sources without extensive ETL. ”
The 1-hour webinar will be conducted by Madhukar Kumar, SingleStore CMO and Arnaud Comet, Director of Product Management. Attendees will be able to hear how he builds his ChatGPT app with your own data stored in SingleStoreDB using Javascript and SQL examples. The SQL query is given a vector function that feeds into ChatGPT.
In previous SingleStore webinars, we showed how applications using SingleStore integrated with MindsDB can use machine learning capabilities, including GPT-3 based capabilities. The presenter demonstrated how attendees could use their existing SQL skills to deploy a data-centric ML system on her AWS cloud.
MindsDB says it will bring machine learning to its database via AI Tables. A machine learning model stored as a virtual table in the database. These tables process database data to make predictions.
It looks like SingleStore is adding AI table functionality to SingleStoreDB. Earlier this month, Lakehouse shipper Databricks updated large-scale language models like the open-source Dolly ChatGPT to perform its functions without the need for massive GPU resources or costly APIs. made available to business applications.
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With two real analytics database suppliers rushing to offer ChatGPT functionality, unskilled SQL users can now query their organization’s databases/data lakes in real-time using natural language to find out what should be right. You can get detailed answers. Your organization’s dataset.
Executives and managers can now query data lakes without needing the help of SQL experts or data scientists, and SQL geeks and data scientists themselves can use ChatGPT features to do their jobs better. It may become possible. Overall, it seems much more likely that ChatGPT is used to analyze data sets, by executives and managers as a skilled concierge, and by SQL experts and data scientists as a great tool builder.
