A tool for bulk text classification and decision inference optimized for single GPU execution, reading content once and scoring all questions in one pass with OpenAI-compatible API support.

Explains how to choose appropriate decision models for evaluation tasks, tune classification thresholds beyond the default 0.5, and interpret model scores with interactive visualizations.

A framework for benchmarking and training decision models that efficiently handle tool-selection decisions in LLM agents, reducing computational cost and latency while maintaining task success rates through adaptive confidence thresholds and training on agent-reached states.

Compares encoder-based and decoder-based architectures for the Strands Decider model, evaluating five different designs on accuracy, calibration, and latency to determine whether bidirectional encoders outperform causal decoders for this decision-making task.

Cloudflare introduces Clef, an open-source platform featuring decision models and reinforcement learning fine-tuning capabilities for AI model optimization.

Strands releases Decider 2B, a compact open source decision model designed for AI agents to make autonomous decisions efficiently.

Cloudflare introduces Clef, an open-source platform featuring decision models and reinforcement learning fine-tuning capabilities for AI applications.