#beam

The latest AI and developer news about #beam, with the original source and a short summary.

Reflection AI's Beam model now available on AI Gateway for free

Beam is a low-latency open-weight reasoning model with a 1M-token context window and Apache 2.0 license.

·1·2026.10.16 09:00

Reflection releases Beam: a 501B MoE open model with 1M context and specialized agentic capabilities

The Apache 2.0-licensed model features 23B active parameters, a 1M token context window, and day-0 support for vLLM, SGLang, and Transformers.

·2·2026.10.16 09:00

Reflection AI Unveils Beam, a 501B MoE Model

Scheduled for release in October under the Apache 2.0 license, this sparse MoE architecture emphasizes inference compute efficiency.

·1·2026.10.07 11:00

Reflection AI Introduces Beam: A 501B-Parameter Open-Weight MoE Model Optimized for High-Compute RL

Reflection AI has introduced Beam, a 501B-parameter open-weight MoE model trained on 10.5K NVIDIA GB300 GPUs, claiming high inference efficiency compared to larger models like GLM 5.2 and Kimi K3.

·1·2026.10.05 09:00

Imp: A Full Port of DSPy to the BEAM for Elixir

Imp brings DSPy's declarative, self-improving language-model programming paradigm to Elixir, leveraging OTP for reliable, concurrent agent execution.

·2026.09.28 04:00

What We Learned Using 2 Trillion Tokens for Category Classification

Danggeun built an LLM-based Taxonomy Management System to automatically classify categories and attributes at scale.

·2·2026.02.27 20:00