A survey on large language models: Applications, challenges, limitations, and practical usage
Within the vast expanse of computerized language processing, a revolutionary entity known
as Large Language Models (LLMs) has emerged, wielding immense power in its capacity to …
as Large Language Models (LLMs) has emerged, wielding immense power in its capacity to …
Large language models: a comprehensive survey of its applications, challenges, limitations, and future prospects
Within the vast expanse of computerized language processing, a revolutionary entity known
as Large Language Models (LLMs) has emerged, wielding immense power in its capacity to …
as Large Language Models (LLMs) has emerged, wielding immense power in its capacity to …
Tptu: Task planning and tool usage of large language model-based ai agents
With recent advancements in natural language processing, Large Language Models (LLMs)
have emerged as powerful tools for various real-world applications. Despite their prowess …
have emerged as powerful tools for various real-world applications. Despite their prowess …
Lotus: Enabling semantic queries with llms over tables of unstructured and structured data
L Patel, S Jha, C Guestrin, M Zaharia - ar** society's
production methods and productivity, and also changing the paradigm of scientific research …
production methods and productivity, and also changing the paradigm of scientific research …
Simple linear attention language models balance the recall-throughput tradeoff
Recent work has shown that attention-based language models excel at recall, the ability to
ground generations in tokens previously seen in context. However, the efficiency of attention …
ground generations in tokens previously seen in context. However, the efficiency of attention …
[HTML][HTML] Construction of knowledge graphs: Current state and challenges
With Knowledge Graphs (KGs) at the center of numerous applications such as recommender
systems and question-answering, the need for generalized pipelines to construct and …
systems and question-answering, the need for generalized pipelines to construct and …
From BERT to GPT-3 codex: harnessing the potential of very large language models for data management
I Trummer - arxiv preprint arxiv:2306.09339, 2023 - arxiv.org
Large language models have recently advanced the state of the art on many natural
language processing benchmarks. The newest generation of models can be applied to a …
language processing benchmarks. The newest generation of models can be applied to a …
CHORUS: foundation models for unified data discovery and exploration
We explore the application of foundation models to data discovery and exploration tasks.
Foundation models are large language models (LLMs) that show promising performance on …
Foundation models are large language models (LLMs) that show promising performance on …
Can Large Language Models Predict Data Correlations from Column Names?
I Trummer - Proceedings of the VLDB Endowment, 2023 - dl.acm.org
Recent publications suggest using natural language analysis on database schema
elements to guide tuning and profiling efforts. The underlying hypothesis is that state-of-the …
elements to guide tuning and profiling efforts. The underlying hypothesis is that state-of-the …