AWS LMI Container Boosts LLM Performance with Caching & Decoding
Discover how AWS’s updated Large Model Inference (LMI) container enhances LLM performance and reduces costs with LMCache, EAGLE decoding, and improved LoRA support.
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Supercharge SageMaker with Comet: Enterprise ML Experiment Management
Boost your ML workflow with Comet and SageMaker AI! This integration provides seamless experiment management, model tracking, and collaboration for enterprise-scale machine learning projects, ensuring compliance and efficiency.
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Customize Amazon Nova with SageMaker: Direct Preference Optimization
Learn how to customize Amazon Nova foundation models using SageMaker’s Direct Preference Optimization for improved performance and alignment with your business needs.
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Run Small LLMs Cost-Effectively on AWS Graviton
Deploy small LLMs cost-effectively using AWS Graviton & SageMaker. Achieve up to 50% cost savings with optimized containers and pre-quantized models. Ideal for budget-conscious AI applications.
