LLM by Examples: Fine-Tuning Language Models for Text Classification In this article, we will explore the process of fine-tuning pre-trained language models for text classification tasks. Fine-tuning allows… Dec 22 See more recommendations Help Status About Careers Press Blog Privacy Terms Text to...
Future Prospects: Five-Level Scale f... Large Language Models (LLMs) have emerged as powerful tools, not just for their ability to process and generate text, but for their increasingly sophisticated reasoning capabilities. This article explores how the reasoning power of LLMs is transform...
Large Language Models (LLMs) have drawn widespread attention and research due to their astounding performance in text generation and reasoning tasks. Derivative products, like ChatGPT, have been extensively deployed and highly sought after. Meanwhile, the evaluation and optimization of LLMs in software...
byCarnegie Mellon University Credit: Pixabay/CC0 Public Domain Carnegie Mellon University's Software Engineering Institute (SEI) and OpenAI published awhite paperthat found that large language models (LLMs) could be an asset for cybersecurity professionals, but should be evaluated using real and comp...
While the recommendation system (RS) has advanced significantly through deep learning, current RS approaches usually train and fine-tune models on task-specific datasets, limiting their generalizability to new recommendation tasks and their ability to leverage external knowledge due to model scale and da...
Focusing on the Advisor Recommender System, our proposed system integrates the conversational capabilities of modern AI to deliver clear, context-aware explanations for its recommendations. This research addresses key questions regarding the incorporation of LLMs into social recommender systems, the impact ...
Book Description This is a book about Large Language Models (LLM). As indicated by the title, it primarily focuses on foundational concepts rather than comprehensive coverage of all cutting-edge technologies. The book is structured into four main chapters, each exploring a key area: pre-...
A study by Accenture found that 91% of consumers are more likely to shop with brands that recognize, remember, and provide relevant offers and recommendations. Large language models can analyze customer data and interactions to provide personalized product recommendations and offers, improving the overa...
STAR: A Simple Training-free Approach for Recommendations using Large Language Modelsarxiv.org/pdf/2410.16458 感觉还是得把各种统计信息喂给LLM才好用 1 背景 LLM已经广泛应用于推荐系统,目前的主要策略为将LLM作为特征编码器或者评分/排名函数。但是一般都是要用下游任务微调LLM,否则效果就会不好。
Recommender ai agent: Integrating large language models for interactive recommendations. arXiv preprint arXiv:2308.16505, 2023 125. Deng G, Liu Y, Mayoral-Vilches V, Liu P, Li Y, Xu Y, Zhang T, Liu Y, Pinzger M, Rass S. Pentestgpt: An llm-empowered automatic penetration testing tool...