March 26, 2024, 10:15 p.m. | Ken Ahrens

DEV Community dev.to

While incredibly powerful, one of the challenges when building an LLM application (large language model) is dealing with performance implications. However one of the first challenges you'll face when testing LLMs is that there are many evaluation metrics. For simplicity let's take a look at this through a few different test cases for testing LLMs:




  • Capability Benchmarks - how well can the model answer prompts?


  • Model Training - what are the costs and time required to train and fine tune …

ai application building cases challenges evaluation evaluation metrics face however language language model large language large language model llm llms look metrics mocking performance service simplicity test testing through

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