Abstract: The focus of this study is the processing and analysis of race data, and employs algorithms such as ARIMA model and Principal Component Analysis (PCA) to construct a series of data analysis ...
mcp-agent's vision is that MCP is all you need to build agents, and that simple patterns are more robust than complex architectures for shipping high-quality agents. Beta: Deploy agents yourself, or ...
Z80-μLM is a 'conversational AI' that generates short character-by-character sequences, with quantization-aware training (QAT) to run on a Z80 processor with 64kb of ram. The root behind this project ...
Abstract: Although Large Language Models (LLMs) are widely adopted for Python code generation, the generated code can be semantically incorrect, requiring iterations of evaluation and refinement. Test ...
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