The v1.3 of our Decider models
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Collection of our second set of text embedding models
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perplexity-ai/pplx-embed-v2-late-9b
Feature Extraction • 8B • Updated • 953 • 42 -
perplexity-ai/pplx-embed-v2-late-0.6b
Feature Extraction • 0.6B • Updated • 2.73k • • 71 -
perplexity-ai/pplx-embed-v2-context-9b-preview
Feature Extraction • 8B • Updated • 895 • 75 -
perplexity-ai/pplx-embed-v2-context-0.6b
Feature Extraction • 0.6B • Updated • 1.53k • 19
Diffusion-Pretrained Dense and Contextual Embeddings
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Diffusion-Pretrained Dense and Contextual Embeddings
Paper • 2602.11151 • Published • 26 -
perplexity-ai/pplx-embed-v1-0.6b
Feature Extraction • 0.6B • Updated • 64.9k • 240 -
perplexity-ai/pplx-embed-context-v1-0.6b
Feature Extraction • 0.6B • Updated • 2.8k • 57 -
perplexity-ai/pplx-embed-v1-4b
Feature Extraction • 4B • Updated • 7.65k • 69
The v1.3 of our Decider models
Collection of our second set of text embedding models
-
perplexity-ai/pplx-embed-v2-late-9b
Feature Extraction • 8B • Updated • 953 • 42 -
perplexity-ai/pplx-embed-v2-late-0.6b
Feature Extraction • 0.6B • Updated • 2.73k • • 71 -
perplexity-ai/pplx-embed-v2-context-9b-preview
Feature Extraction • 8B • Updated • 895 • 75 -
perplexity-ai/pplx-embed-v2-context-0.6b
Feature Extraction • 0.6B • Updated • 1.53k • 19
PII-TRACE (Tracing Recurring PII Across Conversational Exchanges) benchmark and models
Diffusion-Pretrained Dense and Contextual Embeddings
-
Diffusion-Pretrained Dense and Contextual Embeddings
Paper • 2602.11151 • Published • 26 -
perplexity-ai/pplx-embed-v1-0.6b
Feature Extraction • 0.6B • Updated • 64.9k • 240 -
perplexity-ai/pplx-embed-context-v1-0.6b
Feature Extraction • 0.6B • Updated • 2.8k • 57 -
perplexity-ai/pplx-embed-v1-4b
Feature Extraction • 4B • Updated • 7.65k • 69