Reflection AI introduced Beam, a sparse mixture-of-experts foundation model with 501 billion parameters and 23 billion active parameters, tailored for coding, reasoning, and agentic workloads. The model is currently available for public preview via API, with further details and documentation forthcoming.
Reflection AI recently announced a new milestone in AI technology with the introduction of Beam, a sparse mixture-of-experts foundation model. This advanced model consists of a total of 501 billion parameters, with 23 billion active parameters dedicated to specific tasks.
Beam is designed to excel in a variety of complex workloads, including coding, reasoning, and agentic functions. Its architecture allows efficient scaling and specialization, catering to sophisticated AI-driven applications.
The company has made Beam available for public preview via API access. Additional resources such as the model card, full weights, and a comprehensive technical report are set to be released later in the month, providing further insights into the model's capabilities and usage guidelines.
This release marks a significant advancement for Reflection AI in delivering cutting-edge AI solutions to the community and industry professionals alike.