3 stories tagged Foundation Models
A new research paper introduces Odyssey, a categorical framework for building AI models that preserve local truths through composable 'foundries.' This could make AI more reliable in specialized contexts like law or medicine.
A new study analyzes how bias mitigation impacts the embedding spaces of BERT and Llama2, showing reduced gender-occupation disparities. The findings highlight measurable improvements in model fairness through representational analysis.
Researchers introduce DFR-Gemma, a method to integrate dense geospatial embeddings directly with LLMs, enhancing geospatial intelligence. This approach avoids redundancy and token inefficiency in existing systems.