Jordan Waverly

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Unlock Real-Time AI-Driven Production with SageMaker and Tecton

Accelerate Your AI Development and Deployment with Amazon SageMaker and Tecton Businesses are under pressure to show return on investment (ROI) from AI use cases,...

Model Merging for LLMs: An Introduction

Revisiting Model Customization This section provides a brief overview of how models are customized and how this process can be leveraged to help build an...

Building a Generative AI-Enabled Synthetic Data Pipeline for Perception AI

Accelerating the Data Generation Process with Generative AI Training physical AI models used to power autonomous machines, such as robots and autonomous vehicles, requires huge...

Agentic Video Workflow with Search and Summarization

Solving the Challenges of Traditional Video Analytics with VLMs Building a question-answering chatbot with large language models (LLMs) is now a common workflow for text-based...

Boosting Generative AI Model Accuracy

High-Quality Training Data for Genertive AI Models Importance of High-Quality Training Data High-quality training data is crucial for generative AI models to learn accurately and generalize...

Unified Whole-Body Control for Physically Simulated Humanoids

Overcoming Task-Specific Control Traditional approaches to humanoid control are inherently limited by their task-specific nature. A controller specialized in path following cannot handle teleoperation tasks...

TensorRT-LLM Speculative Decoding Boosts Inference Throughput

Achieving Throughput Speedups with Speculative Decoding TensorRT-LLM support for speculative decoding now provides over 3x the speedup in total token throughput. TensorRT-LLM is an open-source...

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