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Decks

5 Painful Lessons using LLMs
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11
How continuous batching enables 23x throughput in LLM inference
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47
Ray Community LLM August Meetup
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9
Bay Area Ray June Meetup Community Talks
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17
Offline Batch Inference: Comparing Ray, Apache Spark, SageMaker
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34
Streaming distributed execution across. CPUs and GPUs
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35
Ray NYC ML/AI meetup community talks March 22, 2023
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55
Daft: Pyton Distributed DataFrame for Complex data
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48
State of Ray Serve in 2.0
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96
Scaling to/from zero on demand with Serve Handle API
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62
Smart shortcuts for bootstrapping a modern NLP project
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65
How Shopify used Ray<>Tensorflow to build a Product Hierarchical Categorization model to auto classify billions of products using NLP and Computer Vision,
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130
Ray Community Meetup Jan 25, 2023: Ray in Review for 2022
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63
Ray Community Meetup Jan 25, 2023: Ray OOM Monitor
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70
Ray Observability: Present and Future
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53
Distributed Vector Generation in One Step with Ray
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56
Ray AIR: A. Scalable Toolkit for End-to-end ML Applications
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55
Scaling ML + Python Workloads On-Demand 10.12
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130

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