Perplexity's pplx-embed-v2-late comes in 2 sizes: a 0.6B model built to run on edge devices, and a 9B model for building high-quality indexes. Its best score is 92.4% on MADQA, and its weakest is 61.2% on ViDoRe v3 Markdown. Both are MIT-licensed and ready to self-host.
The post Perplexity AI Releases pplx-embed-v2-late: A 0.6B Edge Model and a 9B Model Scoring 92.4% on MADQA appeared first on MarkTechPost.
Welcome back to New in Edge for developers, our recurring roundup of recent web platform updates in Microsoft Edge. In this edition, we'll look more closely at some of…
Cohere released Embed 5 on Wednesday, giving teams the option to index data with Embed 5 Pro and query those The post Cohere’s faster query model barely dents retrieval…
ChatGPT and Perplexity are now being scraped as businesses attempt to monitor brand mentions and citations.
Discussion (0)
No comments yet. Start the conversation!