Abstract: Aero-engine fault diagnosis faces challenges such as low accuracy and weak physical interpretability. Additionally, early anomalies are difficult to identify due to complex thermodynamic ...
Databricks' KARL agent uses reinforcement learning to generalize across six enterprise search behaviors — the problem that breaks most RAG pipelines.
Abstract: A unification algorithm is one of the most important parts of a First-Order Logic (FOL) inference engine because it allows for the discovery of substitutions that make two logical ...
Cloudflare has released the Agents SDK v0.5.0 to address the limitations of stateless serverless functions in AI development. In standard serverless architectures, every LLM call requires rebuilding ...
In the world of Large Language Models (LLMs), speed is the only feature that matters once accuracy is solved. For a human, waiting 1 second for a search result is fine. For an AI agent performing 10 ...
🌟 TensorRT LLM is experimenting with Image&Video Generation models in TensorRT-LLM/feat/visual_gen branch. This branch is a prototype and not stable for production ...
According to Andrej Karpathy on X, he released a 243-line, dependency-free Python implementation that can both train and run a GPT model, presenting the full algorithmic content without external ...
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