Results 51 to 60 of about 56,050 (312)
Improving Performance of Local Chatbot with Caching [PDF]
Chatbots and the technology behind them are widely used in many places and in various ways. Retrieval Augmented Generation AI framework has gained its popularity by its linking of large language model with private dataset.
John Jenq
doaj
LLM Hallucination: The Curse That Cannot Be Broken
Artificial intelligence chatbots (e.g., ChatGPT, Claude, and Llama, etc.), also known as large language models (LLMs), are continually evolving to be an essential part of the digital tools we use, but are plagued with the phenomenon of hallucination ...
Hussein Al-Mahmood
doaj +1 more source
CS1-LLM: Integrating LLMs into CS1 Instruction
The recent, widespread availability of Large Language Models (LLMs) like ChatGPT and GitHub Copilot may impact introductory programming courses (CS1) both in terms of what should be taught and how to teach it. Indeed, recent research has shown that LLMs are capable of solving the majority of the assignments and exams we previously used in CS1.
Annapurna Vadaparty +6 more
openaire +2 more sources
A Perspective on Interactive Theorem Provers in Physics
Into an interactive theorem provers (ITPs), one can write mathematical definitions, theorems and proofs, and the correctness of those results is automatically checked. This perspective goes over the best usage of ITPs within physics and motivates the open‐source community run project PhysLean, the aim of which is to be a library for digitalized physics
Joseph Tooby‐Smith
wiley +1 more source
Introduction. The relevance of the study lies primarily in the fact that the increasingly active appeal of the widest circles of users to the generation of texts of different genres, properties and volumes using the so-called LLM (Large Language Model ...
S. V. Gusarenko, M. K. Gusarenko
doaj +1 more source
Agentic AutoSurvey: Let LLMs Survey LLMs
29 pages, 7 ...
Yixin Liu 0002 +3 more
openaire +2 more sources
We propose the Full‐Body AI Agent, a multi‐scale collaborative framework with 7 biological‐layer agents. It unifies multi‐omics/clinical data via standardized protocols, enabling phenotype‐guided closed‐loop reasoning, quantitative evaluation, and LLM safeguards, with promising applications in tumor metastasis modeling and precision drug development ...
Aoqi Wang +11 more
wiley +1 more source
CBF-LLM: Safe Control for LLM Alignment
This paper proposes a control-based framework for aligning large language models (LLMs) by leveraging a control barrier function (CBF) to ensure user-desirable text generation. The presented framework applies the safety filter, designed based on the CBF, to the output generation of the baseline LLM, i.e., the sequence of the token, with the aim of ...
Yuya Miyaoka, Masaki Inoue
openaire +2 more sources
An Integrated NLP‐ML Framework for Property Prediction and Design of Steels
This study presents a data‐driven framework that uses language‐processing techniques to interpret steel processing descriptions and machine‐learning models to predict mechanical properties. By organising complex process histories into meaningful groups and enabling rapid property forecasts, the work supports faster, more informed steel design through ...
Kiran Devraju +5 more
wiley +1 more source

