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Nick Brooks

nickandbro

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reacted to singhsidhukuldeep's post with 🚀 9 days ago

Breaking News: LinkedIn's Content Search Engine Gets a Powerful Semantic Upgrade! Excited to share insights about LinkedIn's innovative approach to content search, recently detailed in a groundbreaking paper by their Mountain View team. This advancement represents a significant shift from traditional keyword-based search to semantic understanding. >> Technical Architecture The new search engine employs a sophisticated two-layer architecture: Retrieval Layer - Token Based Retriever (TBR) for exact keyword matching - Embedding Based Retriever (EBR) using a two-tower model with multilingual-e5 embeddings - Pre-computed post embeddings stored in a dedicated embedding store for efficient retrieval Multi-Stage Ranking - L1 Stage: Initial filtering using a lightweight model - L2 Stage: Advanced ranking with complex features including: - Query-post semantic matching - Author reputation analysis - User engagement metrics - Content freshness evaluation >> Performance Improvements The system has achieved remarkable results: - 10%+ improvement in both on-topic rate and long-dwell metrics - Enhanced ability to handle complex natural language queries - Significant boost in sitewide engagement This advancement enables LinkedIn to better serve complex queries like "how to ask for a raise?" while maintaining high performance at scale. The system intelligently balances between exact keyword matching and semantic understanding, ensuring optimal results for both navigational and conceptual searches. What impresses me most is how the team solved the scale challenge - processing billions of posts efficiently using pre-computed embeddings and approximate nearest neighbor search. This is enterprise-scale AI at its finest.

liked a model 18 days ago

ds4sd/docling-models

new activity 23 days ago

nm-testing/pixtral-12b-w4a16-actorder-group:What is an actorder group and what are the advantages of running this in vLLM?

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nickandbro's activity

New activity in nm-testing/pixtral-12b-w4a16-actorder-group 23 days ago

What is an actorder group and what are the advantages of running this in vLLM?

#1 opened 23 days ago by

New activity in google/Gemma-Embeddings-v1.0 about 1 month ago

Compatible with vLLM?

#4 opened about 1 month ago by

New activity in HuggingFaceTB/SmolVLM-Instruct 2 months ago

Will this work with vLLM?

#10 opened 2 months ago by

New activity in neuralmagic/Llama-3.1-Nemotron-70B-Instruct-HF-FP8-dynamic 3 months ago

Can you please add Nemotron 70B static?

#1 opened 3 months ago by

New activity in nvidia/Llama-3.1-Nemotron-70B-Instruct-HF 3 months ago

Congrats to the Nvidia team!

#10 opened 3 months ago by

New activity in nvidia/Llama-3_1-Nemotron-51B-Instruct 3 months ago

vLLM compatible?

#10 opened 4 months ago by

New activity in nvidia/NV-Embed-v2 4 months ago

Does this work with vLLM?

#9 opened 4 months ago by

New activity in neuralmagic/Meta-Llama-3.1-405B-Instruct-FP8 6 months ago

Is this compatible with the KV_Cache_dtype being FP8?

#1 opened 6 months ago by

New activity in jbilcke-hf/ai-comic-factory 6 months ago

Where can I find the code?

#832 opened 7 months ago by

New activity in jbilcke-hf/ai-comic-factory 7 months ago

Where can I find the code?

#832 opened 7 months ago by