New research shows how speculative decoding trains a draft model to guess tokens, then verifies them with the main LLM—cutting compute and boosting token generation speed. The approach promises big gains in model efficiency and opens doors for open‑source AI training. Dive into the details! #SpeculativeDecoding #TokenGeneration #ModelEfficiency #OpenSourceAI

🔗 https://aidailypost.com/news/speculative-decoding-trains-drafter-guess-verify-llm-outputs

Steerling-8B: The First Inherently Interpretable Language Model

We release Steerling-8B, an 8B-parameter causal diffusion language model that is interpretable by construction — its predictions are routed through concepts you can measure, audit, and control.

Guide Labs