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Sponsored Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt

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Stefan Beierle

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#small language model Open access Oct 2026

Deployment Matrix for Critical Infrastructure and Defence: Kolibri-1, Qwen3.6 and Mistral Small 4 on a Deterministic German Rule-Application Benchmark

English Three language models (Aleph Alpha Kolibri-1, Qwen3.6-35B-A3B, Mistral Small 4) were compared on one H200 with vLLM 0.29.0 on a synthetic German rule-application benchmark. Each question comes with its source passages plus three distractors, so the test measures reading and rule application, not knowledge store...

Stefan Beierle · 0 citations
#reinforcement learning Open access Oct 2026

Runtime Adaptive Behavioral Direction Control in Autoregressive Transformers via Closed-Loop Activation Telemetry

Large language models encode behavioral constraints directly within their latent representations. Existing approaches to modifying these behaviors rely on parameter-level adjustments (Supervised Fine-Tuning, Reinforcement Learning from Human Feedback, or permanent weight abliteration). These irreversibly alter model we...

Stefan Beierle · 0 citations
#reinforcement learning Open access Oct 2026

Runtime Adaptive Behavioral Direction Control in Autoregressive Transformers via Closed-Loop Activation Telemetry

Large language models encode behavioral constraints directly within their latent representations. Existing approaches to modifying these behaviors rely on parameter-level adjustments (Supervised Fine-Tuning, Reinforcement Learning from Human Feedback, or permanent weight abliteration). These irreversibly alter model we...

Stefan Beierle · 0 citations

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