•1 min read•from InfoQ
How LinkedIn Trains AI Job Search 8x Faster with Multi-Teacher Distillation
LinkedIn has published details of the training infrastructure behind its AI-powered job search, describing a multi-teacher distillation pipeline that compresses knowledge from large teacher models into a compact 0.6B-parameter ranking model.
By Claudio MasoloWant to read more?
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Tagged with
#LinkedIn
#AI
#Job Search
#Multi-Teacher Distillation
#Ranking Model
#Large Language Models
#Model Compression
#Teacher Models
#Parameter Efficiency
#Training Infrastructure
#Pipeline
#Knowledge Distillation
#AI-Powered
#0.6B Parameters
#Machine Learning
#Deep Learning
#Natural Language Processing
#Scalability
#Performance Optimization
#Information Retrieval