With the rise of pre-trained Large Language Models (LLMs), there is now an effective solution to store and use information extracted from massive corpora of text documents. Thus, we envision the use of SQL queries to cover a broad range of data that is not captured by traditional databases...
Large language modelsnatural language interfacesemantic parsingtext -to-SQLtext-to-visualizationThe emergence of natural language processing has revolutionized the way users interact with tabular data, enabling a shift from traditional query languages and manual plotting to more intuitive, language-based ...
With the emergence of large language models (LLMs), NLP-based SQL generation has undergone a significant transformation. Demonstrating exceptional performance, LLMs are now capable of generating accurate SQL queries from natural language descriptions. However,...
Conversational AI has come a long way in recent years thanks to the rapid developments ingenerative AI, especially the performance improvements of large language models (LLMs) introduced by training techniques such as instruction fine-tuning ...
Using natural language to interact with data can significantly enhance our ability to work with and understand information, making data more accessible and useful for everyone. Considering the latest advances in large language models (LLMs), it seems like the o...
The development of Natural Language Interfaces to Databases (NLIDBs) has been greatly advanced by the advent of large language models (LLMs), which provide an intuitive way to translate natural language (NL) questions into Structured Query Language (SQL) queries. While significant progress has been...
You can find many of the datasets used to train popular large language models (LLMs) like [Falcon](https://huggingface.co/datasets/tiiuae/falcon-refinedweb), [Dolly](https://huggingface.co/datasets/databricks/databricks-dolly-15k), [MPT](https://huggingface.co/datasets/mosaicml/dolly_hhrlhf...
Speaking of transactions, its query language, Cypher, offers a very intuitive and declarative syntax designed for graph patterns. For this reason, its syntax has been dubbed with the “ASCII art” nickname. Cypher will be no problem to learn, especially if you are familiar with SQL. With Cyph...
We also design the Natural Language Interface for Network Query (NLINQ) prototype for a real-life industrial WMN solution. The results of the performance evaluation indicate that natural language text can be translated into SQL queries with an accuracy of 89.021–92.663%, on average. Moreover, ...
the temporal reasoning services based on comparing input time intervals with absolutely all known time intervals, including instances, tend to produce too large outputs. In one of our experiments involving processing several thousands of diagnoses from the DW, a batch call togetTimeIntervalsDuringTime...