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MaMMUT: A simple vision-encoder text-decoder architecture for multimodal tasks
| | qwenlm.github.io
Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models | Qwen
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| | GITHUB HUGGING FACE MODELSCOPE DISCORD We release Qwen3 Embedding series, a new proprietary model of the Qwen model family. These models are specifically designed for text embedding, retrieval, and reranking tasks, built on the Qwen3 foundation model. Leveraging Qwen3's robust multilingual text understanding capabilities, the series achieves state-of-the-art performance across multiple benchmarks for text embedding and reranking tasks. We have open-sourced this series of text embedding and reranking models under the Apache 2.
| | ai.googleblog.com
PaLM-E: An embodied multimodal language model - Google Research Blog
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| | www.vladsiv.com
Databricks GenAI Associate Study Notes - vladsiv
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| | In this blog post, I'm sharing my experience taking the Databricks Generative AI Associate exam - from study notes to resources that made a difference. Whether you're just starting your prep or looking for extra insights, this guide will help you find the right resources to get prepared.
| | cset.georgetown.edu
The Surprising Power of Next Word Prediction: Large Language Models Explained, Part 1 | Center for Security and Emerging Tech...
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| Place to find CSET's publications, reports, and people