Showing items from Artificial Intelligence

Leveraging LLMs as an Augmentation to Traditional Hyperparameter Tuning

When seeking to improve machine learning model performance, hyperparameter tuning is often the go-to recommendation. However, this approach faces significant limitations, particularly for complex models requiring extensive training times. …

Engineering at the speed of thought: Accelerating complex processes with multi-agent AI and Synera

In this post, we’ll examine how this multi-agent approach works, the architecture behind it, and the efficiency improvements it enables. While the focus is on an engineering use case, the principles apply broadly to any organization facing …

Scale Reinforcement Learning with AWS Batch Multi-Node Parallel Jobs

Autonomous robots are increasingly used across industries, from warehouses to space exploration. While developing these robots requires complex simulation and reinforcement learning (RL), setting up training environments can be challenging …

Enhancing Equity Strategy Backtesting with Synthetic Data: An Agent-Based Model Approach

Developing robust investment strategies requires thorough testing, but relying solely on historical data can introduce biases and limit your insights. Learn how synthetic data from agent-based models can provide an unbiased testbed to …

AWS Weekly Roundup: DeepSeek-R1, S3 Metadata, Elastic Beanstalk updates, and more (February 3, 2024)

Last week, I had an amazing time attending AWS Community Day Thailand in Bangkok. This event came at an exciting time, following the recent launch of the AWS Asia Pacific (Bangkok) Region. We had over 300 attendees and featured 15 speakers …

Quantum-amenable pruning of large language models and large vision models using block coordinate descent

Fidelity and AWS have teamed up to put their brains together and create a Combinatorial Brain Surgeon (iCBS) to operate on AI models. This innovative pruning algorithm is just what the doctor ordered for your large-scale AI needs. Check out …

Scaling your LLM inference workloads: multi-node deployment with TensorRT-LLM and Triton on Amazon EKS

LLMs are scaling exponentially. Learn how advanced technologies like Triton, TRT-LLM and EKS enable seamless deployment of models like the 405B parameter Llama 3.1. Let’s go large. Read the Post on the AWS Blog Channel

Convert AWS console actions to reusable code with AWS Console-to-Code, now generally available

AWS Console-to-Code generates reusable infrastructure as code from your AWS console actions, supporting Amazon EC2, RDS, and VPC. With a few clicks, get CloudFormation, CDK (TypeScript, Python, Java), or CLI code – a game-changer for …