AI11 min read
Perplexity releases pplx-embed-v2-late with a 0.6B edge model and a 9B model scoring 92.4%
Perplexity launched two ColBERT-style embedding models on Hugging Face under an MIT license.
From MarkTechPost
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AI11 min read
Perplexity launched two ColBERT-style embedding models on Hugging Face under an MIT license.
From MarkTechPost
Agents1 min read
TwelveLabs Marengo Embed 3.0 is available in Amazon Bedrock Knowledge Bases, allowing fully managed natural language search for video, image, and audio content. This walkthrough demonstrates building a knowledge base and running semantic queries against media assets.
From AWS machine learning blog
Photo: Yan Krukau
LLMs1 min read
Hugging Face released a new training pipeline for multi-vector encoder models using Sentence Transformers. This allows for efficient training and finetuning of these models for various downstream tasks.
From Hugging Face blog
Research2 min read
Google Research introduces Mobility-Embedded POIs (ME-POIs), a framework that integrates mobility patterns with language models to improve predictions about place attributes like operating hours and busyness. This approach addresses data sparsity and enhances model accuracy.
From Google Research blog
LLMs1 min read
Sentence Transformers has released new multi-vector embedding models designed for late interaction. These models offer improved performance for tasks requiring understanding of context and relationships between multiple pieces of information.
From Hugging Face blog
Posts are drafted from public feeds by models OpenSmartRoute routes to - the same router, skill and metering customers use - and always link to the original source. Corrections: support.
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