IEEE

Data-Secure Natural Language Interfaces to Databases via Large Language Models

Abstract: Natural Language Interfaces to Databases (NLIDB) aim to allow users to query databases using natural language, eliminating the need for proficiency in formal query languages like SQL. Recent ...
GitHub

SQL-R1: Training Natural Language to SQL Reasoning Model By Reinforcement Learning

Natural Language to SQL (NL2SQL) enables intuitive interactions with databases by transforming natural language queries into structured SQL statements. Despite recent advancements in enhancing ...
Fast Company

Are LTMs the next LLMs? This new type of AI can do what large-language models can’t

A major difference between LLMs and LTMs is the type of data they’re able to synthesize and use. LLMs use unstructured data—think text, social media posts, emails, etc. LTMs, on the other hand, can ...
IEEE

RecBERT: Semantic Recommendation Engine with Large Language Model Enhanced Query Segmentation for k-Nearest Neighbors Ranking Retrieval

Abstract: The increasing amount of user traffic on Internet discussion forums has led to a huge amount of unstructured natural language data in the form of user comments. Most modern recommendation ...