Using a clever solution, researchers find GPT-style models have a fixed memorization capacity of approximately 3.6 bits per parameter.

Abstract: Scientific literature summarization aims to summarize ... we automatically construct a scientific literature data set consisting of surveys and their references. We evaluate our proposed ...

Managers of data warehouses of big and small companies realise this sooner or later, that having vast tables of numbers and ...

New open-source efforts from Snowflake aim to help solve that unsolved challenges of text-to-SQL and inference performance for enterprise AI.

In this blog, we’ll introduce the Job Understanding Data Expert (JUDE), LinkedIn's production platform for generating and serving high-quality embeddings for job recommendations using fine-tuned ...

But as AI systems grow in power, so too do the threats targeting their foundations, including a particularly insidious category: data and model poisoning.

Abstract: The transformation of natural language text into SQL queries is a critical task in the domain of natural language processing and database management ... Leveraging the power of Large ...

Current methodologies primarily utilize supervised fine-tuning (SFT) to train the NL2SQL model ... using only a tiny amount of synthetic NL2SQL data for augmented training and further explore data ...