Records found: 8
'OPPO AI Agent Team's Efficient Agents framework demonstrates major cost savings for production AI agents by balancing model choice, planning, tool use, and memory.'
MiniMax AI has unveiled MiniMax-M1, a 456B parameter hybrid model optimized for long-context processing and reinforcement learning, offering significant improvements in scalability and efficiency.
TII’s Falcon-H1 series introduces hybrid Transformer-SSM models that combine efficiency and performance, supporting long contexts, multilingual processing, and scalable deployment from 0.5B to 34B parameters.
MCP gateways are essential for integrating AI models securely and at scale across enterprise systems, offering centralized management and seamless connectivity.
PARSCALE introduces a parallel computation approach to scale language models efficiently, reducing memory use and latency while improving performance across various tasks.
DeepSeek-GRM introduces innovative AI techniques that make advanced models more efficient, affordable, and accessible for businesses across multiple industries.
NVIDIA Dynamo is a cutting-edge AI framework designed to optimize large-scale inference workloads, boosting performance and reducing costs for real-time AI applications across industries.
VoltAgent is a powerful open-source TypeScript framework that simplifies building and orchestrating scalable AI agents with modular tools, multi-agent coordination, and seamless integrations.