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      <title>Simplify your AI workflow with autonomous embedding generation in BigQuery</title>
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      <pubDate>Thu, 19 Feb 2026 17:00:00 +0000</pubDate>
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      <description>• Simplify your AI workflow with autonomous embedding generation in BigQuery Software Engineer Software Engineer Our most intelligent model available yet for complex tasks on Gemin</description>
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      <title>Nemotron ColEmbed V2: Raising the Bar for Multimodal Retrieval with ViDoRe V3&#39;s Top Model</title>
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      <description>• Nemotron ColEmbed V2 introduces late‑interaction embeddings for unified text‑image retrieval. • Three model sizes-3B, 4B, 8B-deliver state‑of‑the‑art accuracy on ViDoRe V1‑V3. •</description>
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      <title>Powering Vector Embedding Capabilities</title>
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      <description>• Expedia Group Technology - Data Science Powering Vector Embedding Capabilities Empowering developers with seamless vector embedding solutions Introduction Rapid advances in Machi</description>
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      <title>Token-count-based Batching: Faster, Cheaper Embedding Inference for Queries</title>
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      <description>• Token-count-based Batching: Faster, Cheaper Embedding Inference for Queries Embedding model inference often struggles with efficiency when serving large volumes of short requests</description>
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