
Beyond vibes: How to properly select the right LLM for the right task
Choosing the right large language model (LLM) for your use case is becoming both increasingly challenging and essential. Many teams rely on one-time (ad hoc) evaluations based on limited samples from trending models, essentially judging quality on “vibes” alone. This approach involves experimenting with a model’s responses and forming subjective opinions about its performance. However,…