The rapid advancements in Large Language Models (LLMs) are revolutionizing multiple industries, transforming how businesses ...

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 ...

The intersection of large language models and graph databases is one that’s rich with possibilities. The folks at property graph database maker Neo4j today took a first step in realizing those ...

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 ...

The problem: Generative AI Large Language Models (LLMs) can only answer questions or complete tasks based on what they been trained on - unless they’re given access to external knowledge, like your ...

Researchers at the University of Science and Technology of China have developed a new reinforcement learning (RL) framework that helps train large language models (LLMs) for complex agentic tasks ...

In the race to unlock the potential of large language models (LLMs), the AI industry is no longer satisfied with LLMs that demonstrate broad knowledge. Accuracy and relevance in niche domains are the ...

In today’s fast-paced AI world, industries are constantly seeking innovative solutions to enhance efficiency and drive growth. Imagine a tool that not only streamlines operations but also ...