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Using Agents for Amazon Bedrock to interactively generate infrastructure as code

by AI Generated Robotic ContentFAANGPosted on Comments are Disabled

In the diverse toolkit available for deploying cloud infrastructure, Agents for Amazon Bedrock offers a practical and innovative option for teams looking to enhance their infrastructure as code (IaC) processes. Agents for Amazon Bedrock automates the prompt engineering and orchestration of user-requested tasks. After being configured, an agent builds the prompt and augments it with …

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Your guide to CCAI Platform: The CCaaS that empowers agents and delights customers

by AI Generated Robotic ContentFAANGPosted on Comments are Disabled

Are you tired of clunky, outdated contact center software that exasperates your agents and leaves your customers frustrated? Google Cloud’s Contact Center AI Platform (CCAI Platform) is here to help. This platform is designed to empower your agents, streamline your operations, and elevate the customer experience. In this beginner-friendly guide, we’ll walk through the ins …

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Principles of Reinforcement Learning: An Introduction with Python

by AI Generated Robotic ContentAI/ML ResearchPosted on Comments are Disabled

Reinforcement Learning (RL) is a type of machine learning. It trains an agent to make decisions by interacting with an environment. This article covers the basic concepts of RL. These include states, actions, rewards, policies, and the Markov Decision Process (MDP). By the end, you will understand how RL works. You will also learn how …

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A new twist on artificial ‘muscles’ for safer, softer robots

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Engineers have developed a new soft, flexible device that makes robots move by expanding and contracting — just like a human muscle. To demonstrate their new device, called an actuator, the researchers used it to create a cylindrical, worm-like soft robot and an artificial bicep. In experiments, the cylindrical soft robot navigated the tight, hairpin …

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Accurate Knowledge Distillation via N-best Reranking

by AI Generated Robotic ContentFAANGPosted on Comments are Disabled

We propose utilizing n-best reranking to enhance Sequence-Level Knowledge Distillation (Kim and Rush, 2016) where we extract pseudo-labels for student model’s training data from top n-best hypotheses and leverage a diverse set of models with different inductive biases, objective functions or architectures, including some publicly-available large language models, to pick the highest-quality hypotheses as labels. …

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Knowledge Bases for Amazon Bedrock now supports advanced parsing, chunking, and query reformulation giving greater control of accuracy in RAG based applications

by AI Generated Robotic ContentFAANGPosted on Comments are Disabled

Knowledge Bases for Amazon Bedrock is a fully managed service that helps you implement the entire Retrieval Augmented Generation (RAG) workflow from ingestion to retrieval and prompt augmentation without having to build custom integrations to data sources and manage data flows, pushing the boundaries for what you can do in your RAG workflows. However, it’s …

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