163 -- 1:37:40 App LLM for Verilog RTL Generation-贺培鑫博士 92 -- 1:30:47 App Large Models & Logical Verification-周海教授&李由博士 114 -- 1:26:13 App Knowledge-Enhanced LLMs with Retrieval-Augmented Generation-徐海琳 299 -- 57:49 App Large Language Model in EDA-余备副教授 12...
Methods: A scoping review was conducted to explore the challenges and barriers of using LLMs, in diagnostic medicine with a focus on digital pathology. A comprehensive search was conducted using electronic databases, including PubMed and Google Scholar, for relevant articles published within the past...
In-depth exploration of Large Language Models (LLMs), their potential biases, limitations, and the challenges in controlling their outputs. It also includes a Flask application that uses an LLM to perform research on a company and generate a report on its potential for partnership opportunities. ...
LLMS的安全攻击 这段内容讨论了针对大型语言模型(LLM)的安全攻击,特别是在ChatGPT和其他类似系统上的应用。攻击主要集中在通过精心设计的输入提示操纵LLM输出的各种方法。 提示式黑客攻击:这种攻击涉及策略性地设计和操纵输入提示,以影响LLM的输出。这包括两种主要的策略: 提示注入:通过精心制作的提示操作模型,绕过过滤...
By Serdar Yegulalp Dec 25, 20244 mins Programming LanguagesPython video How to use watchdog to monitor file system changes using Python Dec 17, 20243 mins Python video The power of Python's abstract base classes Dec 13, 20245 mins Python...
Obviously, unlike knowledge unlearning, which focuses on removing specific knowledge without establishing new answer mappings, model editing demands a more rigorous learning environment. As a result, the goals of model editing and knowledge unlearning differ, with the former requiring a more robust learn...
When Fuzzing Meets LLMs: Challenges and Opportunities Fuzzing, a widely-used technique for bug detection, has seen advancements through Large Language Models (LLMs). Despite their potential, LLMs face specific challenges in fuzzing. In this paper, we identified five major challenges of LLM-...
This paper presents a systematic review of the infrastructure requirements for deploying Large Language Models (LLMs) on-device within the context of small and medium-sized enterprises (SMEs), focusing on both hardware and software perspectives. From the hardware viewpoint, we discuss the utilization...
A startup seeking VC funding to deliver LLM-based services must prove it’s using its money wisely. For example, not all AI tasks need the same level of model sophistication or computational power. A growing collection of LLMs from companies such as OpenAI, Cohere, Anthropic, and others ...
We identify the presence of multilingual jailbreak challenges within LLMs and propose to study them under two potential scenarios: unintentional and intentional. The unintentional scenario involves users querying LLMs using non-English prompts and inadvertently bypassing the safety mechanisms, while the int...