Manus, a new AI agent launched on March 6, promises to revolutionize task automation by leveraging advanced language and reasoning models. It can streamline various processes, such as conducting Market research or analyzing sales data, by employing tools like search engines and coding capabilities. This innovation arrives shortly after the success of DeepSeek-R1, highlighting the ...
As artificial intelligence (AI) technology grows quickly in China, entrepreneur Zhou Hongyi discusses its benefits and challenges. He emphasizes that large language models (LLMs), while improving efficiency, come with risks like misinformation and security vulnerabilities. Zhou, a member of the Chinese People’s Political Consultative Conference and chairman of 360 Group, points out that AI’s “hallucinations” ...
Researchers from Rutgers University, Ant Group, and Salesforce Research have introduced a new framework known as A-MEM. This innovative approach allows AI agents to tackle complex tasks by improving how they remember and use information from their environment. A-MEM leverages large language models and memory links to enhance interaction efficiency. The framework offers flexible memory ...
Weaviate is introducing Agentic AI to enhance its open-source vector database with three new agents. These agents leverage large language models tailored for Weaviate, enabling them to perform a variety of tasks using natural language commands. The first, called the Query Agent, helps users query the database efficiently and simplifies complex workflows. The upcoming Transformation ...
Agents are changing how we use generative AI, connecting large language models to practical applications. These smart systems will play a vital role in many industries by enhancing decision-making, automating workflows, and improving human-AI interactions. By integrating specialized tools, agents can perform complex tasks and tackle real-world problems, as demonstrated by the Multi-Agent City Information ...
This article explores the latest trends in AI Agents and open-source technology. It highlights two main areas: the rapid innovation of Large Language Models (LLMs) and the growing focus on AI Agents that tackle real-world problems. As AI Agents evolve from single-task to multi-agent systems, improving data quality and collaboration will be vital. Key points ...
Large Language Models (LLMs) have become essential in various sectors, evolving from simple chatbots to sophisticated AI agents integrated into enterprises and government. By utilizing tools called smolagents, these AI systems can perform complex tasks autonomously, fetching real-time data and enhancing decision-making. This article explores the fundamentals of AI agents, their differences from traditional LLMs, ...
In 2024, AI integration in businesses experienced a significant shift from experimental phases to widespread use across various industries. At Yellow AI, we observed that AI agents became essential for operations, with advancements in large language models leading to better context understanding and customer interaction. Retail and financial services were early adopters in the US ...
In 2024, AI integration in businesses experienced a significant shift from experimental phases to widespread use across various industries. At Yellow AI, we observed that AI agents became essential for operations, with advancements in large language models leading to better context understanding and customer interaction. Retail and financial services were early adopters in the US ...
Researchers from Rutgers University, Ant Group, and Salesforce have developed A-MEM, an innovative memory system for large language model agents. Unlike traditional memory systems that are rigid and fixed, A-MEM uses a flexible approach inspired by the Zettelkasten note-taking method. Each interaction is recorded as a detailed note, allowing the memory to adapt and evolve ...
