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Algorithms and Data Structures
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Teaching Young Learners Online
Probability - The Science of Uncertainty and Data
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Explore the engineering challenges and opportunities in building Perplexity.ai, an LLM-powered answer engine, with insights from founder Aravind Srinivas on rapid development and resource optimization.
Explore Gorilla LLM's advanced capabilities in API call generation, adaptation to document changes, and hallucination mitigation. Learn about this open-source project's impact on AI development.
Explore a ray-based solution for large-scale video recommendations, featuring a single big model with sparse inputs/outputs and universal graph search algorithm. Learn about its advantages and empirical results.
Explore vLLM, an open-source library for fast LLM inference using PagedAttention. Learn how it achieves higher throughput and its implementation for efficient AI model serving.
Learn to serve large language models efficiently using KubeRay on TPUs. Explore increased performance, improved scalability, reduced costs, and enhanced monitoring for AI workloads.
Explore Airbnb's ML platform upgrade for efficient LLM use, featuring Ray integration for improved developer productivity, performance, and cost-effective GPU utilization on AWS.
Explore context-aware reasoning in LLM applications. Learn about cognitive architectures, LangChain, and LangSmith for building differentiated AI products. Gain insights on evaluation and practical techniques.
Explore Llama's evolution, its impact on Generative AI, and learn how to leverage state-of-the-art performance using Ray-based platforms for building with open-source large language models.
Build enterprise-scale vector-based information retrieval systems using open source technologies on AWS, addressing challenges in Retrieval Augmented Generation for accurate, hallucination-free results.
Prepare your organization for GenAI challenges and opportunities. Learn best practices for integrating GenAI capabilities with enterprise security, privacy, and guardrails. Explore Google Cloud's innovative GenAI solutions for enterprise environments.
Discover practical tips for managing data in scalable LLM systems. Learn how LlamaIndex and Ray provide tools for building robust, production-ready AI applications using private data.
Explore how Ray/RLLib enhances reinforcement learning-based recommender systems in NetEase Games, improving user experience and profitability. Learn about the open-source RL4RS dataset for training and evaluating RL algorithms.
Explore Ray Serve, on-demand scaling, and NLP project bootstrapping techniques. Learn about model serving, API controllers, and leveraging shortcuts for efficient NLP development.
Deploy Ray, Spark, Dask, and Jupyter on mixed-architecture Kubernetes clusters. Learn cross-building containers, handling Ubuntu versions, and glibc versioning for heterogeneous Ray clusters.
Explore graph technologies for AI in manufacturing, leveraging Ray for scalable solutions. Learn integration of graph models, NLP, and deep learning for industrial applications.
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