I gave a generic LLM access to Ruby documentation through RAG.The hallucinations didn't disappear.They changed.The most interesting failures happened when the model had the correct context and still answered incorrectly.Context is necessary, but not sufficient.https://rubystacknews.com/2026/06/04/turning-a-generic-llm-into-a-ruby-expert-what-rag-fixed-and-what-it-didnt/#Ruby #AI #RAG #LLM
Related
Qian Liu et al. developed a two-step #MachineLearning-based framework for estimating forest aboveground #Carbon, #Nitrog...
Qian Liu et al. developed a two-step #MachineLearning-based framework for estimating forest aboveground #Carbon, #Nitrogen and #Phosphorus stocks by integrating field measurements,...
🎮 Denshattack! reviewSaturated spectacle can't mask this energetic game's flawsSurprisingly lacking in the train and tri...
🎮 Denshattack! reviewSaturated spectacle can't mask this energetic game's flawsSurprisingly lacking in the train and trick departments.📰 Source: Latest from PC Gamer🔗 Link: https:/...
The Motorola Edge 70 Max is all about powerMotorola has launched the Edge 70 Max, its latest flagship phone that's desig...
The Motorola Edge 70 Max is all about powerMotorola has launched the Edge 70 Max, its latest flagship phone that's designed for power intensive tasks like streaming video and mobil...