Abstract Large Language Models (LLMs), such as ChatGPT and Bard, have revolutionized
natural language understanding and generation. They possess deep language …

In orchards, tree-level localization of robots is critical for smart agriculture applications like
precision disease management and targeted nutrient dispensing. However, prior solutions …

To enhance the efficiency of language models, it would involve optimizing their training and
inference processes to reduce computational demands while maintaining high performance …

With easier access to powerful compute resources, there is a growing trend in AI for software
development to develop larger language models (LLMs) to address a variety of …

Large language models (LLMs) are demonstrating significant promise as an alternate
strategy to facilitate analyses and optimizations of high-performance computing programs …

Recently, language models (LMs), especially large language models (LLMs), have
revolutionized the field of deep learning. Both encoder-decoder models and prompt-based …

Optimizing scientific software is a difficult task because codebases are often large and
complex, and performance can depend upon several factors including the algorithm, its …

This study focused on the development and evaluation of an Adaptive Query
Contextualization Algorithm (AQCA) within the Alpaca Large Language Model (LLM) …

The imperative need to scale computation across numerous nodes highlights the
significance of efficient parallel computing, particularly in the realm of Message Passing …

Among the thriving ecosystem of cloud computing and the proliferation of Large Language
Model (LLM)-based code generation tools, there is a lack of benchmarking for code …