Start your journey to developing Large Language Models (LLMs) today! In this track, you'll learn about the latest techniques for developing state-of-the-art language models responsible for the recent boom in generative AI models, like OpenAI's GPT-4, and Meta's Llama 3.Master deep learning...
Oil and gasRock mechanicsData processingArtificial intelligenceIn recent years, large language models (LLMs) have demonstrated immense potential in practical applications to enhance work efficiency and decision-making capabilities. However, specialized LLMs in the oil and gas engineering area are rarely ...
models and systems (Asunda et al.,2023; Gadanidis,2017; Markauskaite et al.,2022). The rapid emergence of large language model-based generative artificial intelligence (LLM-based GenAI) has made people across the globe recognise that AI presents significant societal, economic, and ethical challe...
Pre-trained Large Language Models (LLMs) have revolutionised Natural Language Processing (NLP) tasks, but often struggle when applied to specialised domains such as healthcare. The traditional approach of pre-training on large datasets followed by task-specific fine-tuning is resource-intensive and ...
Title: RALLE: A Framework for Developing and Evaluating Retrieval-Augmented Large Language Models (R-LLMs) url:https://arxiv.org/abs/2308.10633v1 论文简要 : 本文提出了一个名为RALLE的开源框架,用于开发和评估检索增强的大型语言模型(R-LLMs),以提高事实问答的准确性。该框架允许开发人员轻松开发和评...
Large language models (LLMs) are emerging as a transformative technology, enabling developers to build applications that they previously could not. But using these LLMs in isolation is often not enough to create a truly powerful app - the real power comes when you can combine them with other ...
Recent end-to-end speech language models (SLMs) have expanded upon the capabilities of large language models (LLMs) by incorporating pre-trained speech models. However, these SLMs often undergo extensive speech instruction-tuning to bridge the gap between speech and text modalities. This requires...
On opportunities and challenges of large language models for education. Learning and Individual Differences, 103(102274), 1–9. https://doi.org/10.1016/j.lindif.2023.102274 Article Google Scholar Kim, S., Shim, J., & Shim, J. (2023). A study on the utilization of OpenAI ChatGPT as ...
This technique, called the zero-shot-CoT strategy, was introduced in the scientific paper “Large Language Models Are Zero-Shot Reasoners” by Kojima et al., published in 2022. CoT stands for chain of thought; it refers here to the technique of using prompts that encourage the model to ...
The convergence of tissue engineering and patient-specific stem cell biology has enabled the engineering of in vitro tissue models that allow the study of patient-tailored treatment modalities. However, sex-related disparities in health and disease, from systemic hormonal influences to cellular-level di...