Abstract: Industrial process data typical exhibit nonlinear and time-varying characteristics, which limit the effectiveness of traditional process monitoring methods. Kernel-based techniques can ...
A curated corpus of sample inputs and artifacts for testing and demonstrating BMad Method skills. Around 100 entries spanning the full BMad funnel: one-line intents, braindumps, transcripts, threads, ...
In the LLM era, the number of models is exploding. Different models vary across capability, scale, cost, and privacy boundaries. Choosing and connecting the right models to build semantic AI ...
Abstract: In order to engage with large language models (LLMs) in a meaningful way, it is necessary to create prompts that are both instructive and precise. However, especially when working with ...
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