Join the AgentX – LLM Agents MOOC Competition, hosted by Berkeley RDI, where innovators from various fields come together to explore and create advanced LLM Agents. This exciting competition is open to everyone and will primarily take place online, culminating in an in-person Demo Day at the Agents Summit in August at UC Berkeley. Participants ...
The AgentX – LLM Agents MOOC Competition, hosted by Berkeley RDI, invites creators, developers, and AI enthusiasts to innovate and reshape the future of LLM Agents. This competition welcomes participants to explore groundbreaking ideas or launch startup projects using LLM technology. The event includes two main tracks: an Entrepreneurship Track for those developing business ideas ...
Researchers from Michigan State University, the University of Georgia, and Singapore Management University have developed an attack technique called MINJA, which manipulates AI models’ memory through regular user interactions. This is significant because, unlike previous threats that required backend access, anyone can launch MINJA just by using the chatbot. When clever prompts are sent to ...
Researchers from Rutgers University, Ant Group, and Salesforce have developed A-MEM, a new memory system designed for large language model agents. Traditional memory systems often lack flexibility, making it hard for these agents to adapt and learn from new information. A-MEM addresses this issue by using a method inspired by Zettelkasten note-taking, allowing each interaction ...
LLM agents, powered by large language models, are revolutionizing technology by making it smarter and more efficient. These advanced systems can understand and generate human language, perform complex tasks, and learn from interactions, enhancing productivity and problem-solving in various industries like healthcare, finance, and education. With capabilities like customer support automation and personalized recommendations, LLMs ...
LLM agents, powered by advanced language models, are transforming technology by making it smarter and more personalized. These systems help businesses by improving problem-solving, automating tasks, and enhancing customer service. They learn from past interactions, remember context, and adapt to user needs, making them versatile and effective in various applications like content creation, customer support, ...
LLM Agents, or Large Language Model Agents, can produce unpredictable outputs, which sometimes don’t align with the intended purpose of your application. A famous case is Microsoft’s Tay, which unintentionally posted offensive content. To ensure your AI application is safe and effective, consider implementing specific safety strategies. Focus on content safety to avoid harmful outputs, ...
