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Anyscale
anyscale
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Developing and serving RAG-Based LLM applications in production
anyscale
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110
Evaluating LLM Applications is hard
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4k
Ray in 2023: Ray in Reflection
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91
Multi-Region/Cloud Ray Pipeline with Distributed Caching
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110
How to build a serverless database cloud service
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82
Ray_Essentials__Introduction_to_Ray_for_machine_learning.pdf
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120
Modern Compute Stack for Scaling Large AI/ML/LLM Workloads
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69
Ray Community LLM August Meetup
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50
How continuous batching enables 23x throughput in LLM inference
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1k
5 Painful Lessons using LLMs
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94
Streaming distributed execution across. CPUs and GPUs
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100
Offline Batch Inference: Comparing Ray, Apache Spark, SageMaker
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130
Bay Area Ray June Meetup Community Talks
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34
Daft: Pyton Distributed DataFrame for Complex data
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170
Ray NYC ML/AI meetup community talks March 22, 2023
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110
Smart shortcuts for bootstrapping a modern NLP project
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1
140
Scaling to/from zero on demand with Serve Handle API
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110
State of Ray Serve in 2.0
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210
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