Artificial intelligencefromTechCrunch4 days agoAre bad incentives to blame for AI hallucinations? | TechCrunchLarge language models produce confident but false statements because pretraining emphasizes next-word prediction and current evaluation incentives reward superficially correct outputs.
fromHackernoon1 year agoArtificial intelligenceA Close Look at Misalignment in Pretraining Datasets | HackerNoon
fromHackernoon1 year agoArtificial intelligenceWhat Happens When Your Prompt Is Too Obscure? | HackerNoon
fromHackernoon1 year agoArtificial intelligenceAnalyzing the Impact of Pretraining Frequency on Zero-Shot Performance in Multimodal Models | HackerNoon
fromHackernoon1 year agoArtificial intelligenceA Close Look at Misalignment in Pretraining Datasets | HackerNoon
fromHackernoon1 year agoArtificial intelligenceWhat Happens When Your Prompt Is Too Obscure? | HackerNoon
fromHackernoon1 year agoArtificial intelligenceAnalyzing the Impact of Pretraining Frequency on Zero-Shot Performance in Multimodal Models | HackerNoon
Artificial intelligencefromHackernoon1 year agoHow Dataset Diversity Impacts AI Model Performance | HackerNoonPretraining data diversity significantly influences model performance, particularly in generalization and predictive capabilities.
Artificial intelligencefromHackernoon1 year agoAI Training Data Has a Long-Tail Problem | HackerNoonPretraining datasets exhibit a long-tailed distribution of concept frequencies, impacting performance disparities.
