GitHub - zherczeg/sljit: Platform independent low-level JIT compiler
Platform independent low-level JIT compiler. Contribute to zherczeg/sljit development by creating an account on GitHub.
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Platform independent low-level JIT compiler. Contribute to zherczeg/sljit development by creating an account on GitHub.
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Practical docs for the ESP32-resident AI assistant with GPIO, schedules, memory, and tool calling.
RLM agent harness - built on Deep Agents. Contribute to Hmbown/rlmagents development by creating an account on GitHub.
Large language models (LLMs) often fail to learn effective long chain-of-thought (Long CoT) reasoning from human or non-Long-CoT LLMs imitation. To understand this, we propose that effective and learnable Long CoT trajectories feature stable molecular-like structures in unified view, which are formed by three interaction types: Deep-Reasoning (covalent-like), Self-Reflection (hydrogen-bond-like), and Self-Exploration (van der Waals-like). Analysis of distilled trajectories reveals these structur