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#python #ai #alexa #amazon_echo #anyq #asr #bci #chatgpt #google_home #gpt3 #homeassistant #muse #openai #raspeberry_pi #snowboy #speaker #tts #unit

wukong-robot is a simple, flexible, and elegant Chinese voice dialogue robot/smart speaker project. It allows makers and hackers in China to quickly create personalized smart speakers. Here are the key benefits You can customize and develop your own plugins for speech recognition, synthesis, and dialogue management.
- **Chinese Support** It supports integration with smart home protocols like Siri, 小爱音箱, and HomeAssistant, allowing voice control of smart devices.
- **Easy Installation** You can customize the robot's name, choose different speech recognition and synthesis plugins, and even use brain-computer interface (BCI) for wake-up.
- **Open API**: It provides an open API for more advanced functionalities.

Overall, wukong-robot offers a highly customizable and flexible solution for creating smart speakers, making it a great choice for those who want to personalize their smart home experience.

https://github.com/wzpan/wukong-robot
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#jupyter_notebook #amazon_bedrock #amazon_titan #bedrock #embeddings #generative_ai #knowledge_base #langchain #rag

This repository provides pre-built examples to help you get started with Amazon Bedrock, a service for working with generative AI. You can learn the basics of Bedrock, how to craft effective prompts, implement AI agents, import custom models, and more. It also includes guides on responsible AI use, productionizing workloads, and improving model observability. To use these examples, ensure you have the necessary AWS IAM permissions and follow the detailed instructions in each folder. This resource helps you quickly and effectively use Amazon Bedrock for various AI tasks, making it easier to integrate generative AI into your projects.

https://github.com/aws-samples/amazon-bedrock-samples
#go #amazon_s3 #cloud #cloudnative #cloudstorage #go #k8s #kubernetes #multi_cloud #multi_cloud_kubernetes #objectstorage #s3 #storage

MinIO is a fast and scalable object storage system that works like Amazon S3. It's great for storing large amounts of data, especially for machine learning and analytics projects. MinIO is easy to use, runs on many platforms, and supports Kubernetes for easy management. It also provides strong data protection with features like erasure coding and encryption. This makes MinIO a good choice for businesses that need reliable and efficient data storage solutions.

https://github.com/minio/minio
#java #amazon #aws #aws_sdk #hacktoberfest #java

The AWS SDK for Java 2.0 is a major upgrade offering non-blocking I/O for faster performance, customizable HTTP implementations, and easier integration with AWS services like S3 and DynamoDB through Maven, helping developers build scalable applications efficiently.

https://github.com/aws/aws-sdk-java-v2
#rust #agent #ai #amazon_q #cli #linux #llm #macos #mcp #open_source #productivity #rust #shell #terminal #typescript

Amazon Q CLI is a powerful tool that lets you interact with AWS and your development environment using natural language right from your terminal. It helps you write code, run commands, and manage AWS resources faster by understanding your context and providing smart suggestions, autocompletion, and even translating plain English into shell commands. It supports multi-turn conversations, so you can ask follow-up questions and get real-time help without leaving the command line. This boosts your productivity by simplifying complex tasks, reducing errors, and speeding up development workflows, making it easier to manage projects and infrastructure efficiently[1][2][3].

https://github.com/aws/amazon-q-developer-cli