Abstract: Designing reward functions for reinforcement learning (RL)-based quadruped locomotion often requires extensive trial-and-error, limiting efficiency and interpretability. Lack of ...
Abstract: Pre-trained models are frequently employed in multimodal learning. However, these models have too many parameters and need too much effort to fine-tune the downstream tasks. Knowledge ...
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Python makes it simple to integrate with both relational and non-relational databases, enabling you to build robust, data-driven applications. With connectors for SQLite, MySQL, PostgreSQL, and ...
The assistant can answer natural-language logistics questions by routing them to the correct database tool, then having the local LLM compose a response grounded in real data: ...
vetclinic/ ├── backend/ # Flask Python backend │ ├── app.py # Main application │ ├── requirements.txt # Python dependencies │ ├── .env # Environment variables │ ├── api/ # API blueprints │ ├── ...
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