AI与开发者热点话题——一周回顾 [THR1746].pdf

1、 AI and Developer Hot TopicsTHR1746Kay SinghProduct Manager,OCI Kubernetes Engine(OKE)Agenda Why Kubernetes for AI workloads?Customer use-case(Faire)Serverless WorkloadsAI Models,Training,and InferencingAI models are programs that learn from data to generate outputModel training is the process of te

2、aching a model to recognize patterns and make predictions by feeding it data and adjusting its parameters until it produces the desired behaviorTrained models are used to make inferences:generating output on novel input data based on its trainingExamples of models include Large Language Models(LLMs)

3、,Image and video recognition,Anomaly detection,Recommender systems,Predictive modeling and forecasting,Robotics and control systemsKubernetes is the Platform for AI/ML WorkloadsTrain large-scale AI/ML models faster and more economicallyReduce the cost of training neural networksInfuse AI into apps u

4、sing Cohere large language modelsPowering speech recognition for Mercedes and PandoraEmbed LLMs,narratives,and non-playable characters that evolve with each action for interactive gaming experiencesAI platform to collaborate and share,fine-tune,and run large language modelsOnline wholesale marketpla

5、ce connecting independent brands with retail stores globally.AI-powered workflow automation for business efficiency.Scalable resource orchestration Portability Resource management Ecosystem CommunityKubernetes is the Platform for AI/ML WorkloadsKubernetes is the Platform for AI/ML WorkloadsModel Dev

6、elopmentModel TrainingModel InferencingWhy OCI Kubernetes Engine(OKE)for your AI workloads?Oracle CloudWorld Copyright 2024,Oracle and/or its affiliates7Flexible InfrastructureGPU Optimizations Fully-managed control plane and simplified infrastructure management Integration with other OCI services O