Tag: ai development

This article provides a comprehensive guide to constructing a hierarchical supervisor agent framework using CrewAI and Google Gemini. It details the setup, agent roles, task delegation, and workflow orchestration necessary for sophisticated multi-agent systems, enabling coordinated and efficient task execution.

Explore the limitations of LangChain and the rise of Atomic Agents as a more flexible and efficient paradigm for LLM development, offering granular control and enhanced modularity.

Alibaba Cloud is set to enhance its AI platform by offering Nvidia’s physical AI development tools, a move poised to significantly advance AI development and accessibility within the region.

An AI safety group's recent analysis suggests that while agentic tools promise AI advancement, they may inadvertently hinder the progress of open-source development by introducing complexities and slowing down collaborative efforts.

Explore the transformative power of foundation models, the large-scale AI systems pioneered by NVIDIA, and understand their impact across industries.

SoftBank Corp. has announced a significant expansion of its AI computing platform, integrating NVIDIA DGX B200 Systems to create the world's largest NVIDIA DGX SuperPOD. This strategic move positions SoftBank at the forefront of AI development and deployment, offering unprecedented computational power for advanced AI research and business applications.