Contra-Topic-bottleneck-t5: Efficient Topic Extraction Without the Computational Overhead
Quick Links: Model on HuggingFace | Interactive Demo When it comes to topic extraction, the AI world seems fixated on massive models and expensive compute. But what if there was a simpler way? 🤔 The Genesis: Simplicity Through Linear Transformation Picture this: There I was, looking for an open-source solution to extract topics from text at scale. The available options were either massive language models or complex fine-tuning pipelines. That’s when it hit me – what if we could leverage the semantic structure of existing embeddings with just a linear transformation?...