With Open Responses, OpenAI has introduced an open-source standard for a vendor-independent LLM API and has brought renowned ...
Industrial automation users don't need vendor-locked AI chatbots. They need systems that feed structured data to whatever LLM ...
A common use case in generative AI is developing an agent, which is a system users interact with in plain language to accomplish a given task. Creating AI agents can require a lot of heavy lifting, ...
Agents are the trendiest topic in AI today, and with good reason. AI agents act on their users’ behalf, autonomously handling tasks like making online purchases, building software, researching ...
Microsoft has joined the race for large language model (LLM) application frameworks with its open source Python library, AutoGen. As described by Microsoft, AutoGen is “a framework for simplifying the ...
LangGraph has been used to create a multi-agent large language model (LLM) coding framework. This framework is designed to automate various software development tasks, including coding, testing, and ...
In the prior article, we compared the evolution of the Internet to that of today's large language models (LLMs), particularly examining Internet packets and LLM tokens. We noted parallels in ...
Hundreds of Model Context Protocol (MCP) servers used to link LLMs to third-party services, data sources, and tools include default configurations that could expose users to unauthorized OS command ...
With agentic AI emerging as the next big shift in technology, ANNA Money is proud to announce that it has successfully proven its ability to work directly with Large Language Model (LLM) agents to ...
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