Abstract: This research explores the capabilities of large language models (LLMs) in the context of additive manufacturing, with a focus on generating G-code from natural language prompts. Three ...
Anthropic explains why cache hit rates are treated as an operational metric, and the design patterns that keep long-running agent sessions fast and cost-efficient. Anthropic’s engineering team ...
Abstract: Although Large Language Models (LLMs) are widely adopted for code generation, the generated code can be semantically incorrect, requiring iterations of evaluation and refinement. Test-driven ...
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