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Machine Heart
Machine Heart
May 18, 2026 · Artificial Intelligence

Can Large Models Reason Deeply with Only a Few Thinking Tokens?

The paper introduces Heima, a framework that compresses chain‑of‑thought reasoning into a small set of abstract “thinking tokens” for multimodal large models, dramatically reducing generated tokens while preserving inference capability, and provides an adaptive interpreter to reconstruct human‑readable reasoning for analysis.

Efficient Inferencechain-of-thoughtlatent reasoning
0 likes · 12 min read
Can Large Models Reason Deeply with Only a Few Thinking Tokens?
AI Tech Publishing
AI Tech Publishing
Mar 18, 2026 · Artificial Intelligence

How Context Engineering Turns AI Agents from ‘Usable’ to ‘Highly Effective’

The article explains how organizing the prompt, tool schemas, dialogue history, and retrieved documents—collectively the context window—affects an AI agent’s decisions, introduces the concepts of Lost‑in‑the‑Middle, Thinking Tokens, tool‑response caching, compaction versus SubAgent strategies, and shows a step‑by‑step evolution that raised accuracy from 60 % to over 95 %.

AI agentsContext EngineeringLLM
0 likes · 9 min read
How Context Engineering Turns AI Agents from ‘Usable’ to ‘Highly Effective’