Results 41 to 50 of about 60,614 (154)

Large language models and their applications in bioinformatics

Computational and Structural Biotechnology Journal
Recent advancements in Natural Language Processing (NLP) have been significantly driven by the development of Large Language Models (LLMs), representing a substantial leap in language-based technology capabilities.
Oluwafemi A. Sarumi, Dominik Heider
doaj   +1 more source

Conformer LLMs -- Convolution Augmented Large Language Models

CoRR, 2023
6 pages, 1 ...
openaire   +2 more sources

The training and development of Muslim faith leaders: current practice and future possibilities [PDF]

, 2010
"There were three broad aims [of the review]: 1. To research and evaluate the current training provisions for imams and scholars provided by seminaries and other imam-training institutions in the UK; to explore the strengths and weaknesses of current ...
Chowdhary, Ashfaque, Contractor, Sariya, Mukadam, Mohamed, Scott-Baumann, Alison   +3 more
core  

Evaluating Quantized Llama 2 Models for IoT Privacy Policy Language Generation

Future Internet
Quantized large language models are large language models (LLMs) optimized for model size while preserving their efficacy. They can be executed on consumer-grade computers without the powerful features of dedicated servers needed to execute regular (non ...
Bhavani Malisetty, Alfredo J. Perez
doaj   +1 more source

Overeducation and spatial flexibility in Italian local labour markets [PDF]

According to a recent strand of literature this paper highlights the relevance of spatial mobility as an explanatory factor of the individual risk of being overeducated.
Croce, Giuseppe, Ghignoni, Emanuela
core   +1 more source

Stochastic LLMs do not Understand Language: Towards Symbolic, Explainable and Ontologically Based LLMs

, 2023
In our opinion the exuberance surrounding the relative success of data-driven large language models (LLMs) is slightly misguided and for several reasons (i) LLMs cannot be relied upon for factual information since for LLMs all ingested text (factual or ...
Saba, Walid S.
core  

Generative AI Chatbots Across Domains: A Systematic Review

Applied Sciences
The rapid advancement of large language models (LLMs) has significantly transformed the development and deployment of generative AI chatbots across various domains.
Lama Aldhafeeri, Fay Aljumah, Fajr Thabyan, Maram Alabbad, Sultanh AlShahrani, Fawzia Alanazi, Abeer Al-Nafjan   +6 more
doaj   +1 more source

Adapting Large Language Model with Speech for Fully Formatted End-to-End Speech Recognition

, 2023
Most end-to-end (E2E) speech recognition models are composed of encoder and decoder blocks that perform acoustic and language modeling functions. Pretrained large language models (LLMs) have the potential to improve the performance of E2E ASR.
Gong, Yifan, Hu, Yuxuan, Lin, Ed, Ling, Shaoshi, Qian, Shuangbei, Qian, Yao, Ye, Guoli, Zeng, Michael   +7 more
core  

From Illusion to Insight: A Taxonomic Survey of Hallucination Mitigation Techniques in LLMs

AI
Large Language Models (LLMs) exhibit remarkable generative capabilities but remain vulnerable to hallucinations—outputs that are fluent yet inaccurate, ungrounded, or inconsistent with source material.
Ioannis Kazlaris, Efstathios Antoniou, Konstantinos Diamantaras, Charalampos Bratsas   +3 more
doaj   +1 more source

mBLIP: Efficient Bootstrapping of Multilingual Vision-LLMs

, 2023
Modular vision-language models (Vision-LLMs) align pretrained image encoders with (pretrained) large language models (LLMs), representing a computationally much more efficient alternative to end-to-end training of large vision-language models from ...
Geigle, Gregor, Glavaš, Goran, Jain, Abhay, Timofte, Radu   +3 more
core