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threedots.tech | ||
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blog.owulveryck.info
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| | | | | This article details my journey in building a custom chat host for AI agents, moving away from existing solutions to gain a deeper understanding of the underlying technologies. I implement a chat engine using Google's Vertex AI and Go, focusing on compatibility with the OpenAI API to integrate with tools like Big-AGI. The article covers the core architecture, including my use of ChatSession and GenerativeModel from the Vertex AI SDK. It delves into the implementation of the /v1/chat/completions endpoint, highlighting the challenges of streaming responses and integrating function calls. I also describe a workaround for handling function calls in a streaming context and introduce the concept of a callable interface to prepare for implementing the Model Context... | |
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blog.risingstack.com
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| | | | | Common Kubernetes interview questions and answers about the architecture, deployment, and management of k8s containers. | |
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golb.hplar.ch
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| | | | | [AI summary] This tutorial walks through setting up a serverless application using AWS services. The main components are an API Gateway, a Lambda function, and a DynamoDB table. The Lambda handles CRUD operations for todo items, while the API Gateway provides the HTTP endpoints. The application is deployed using Pulumi, which manages the infrastructure as code. The tutorial also covers setting up IAM roles for Lambda execution, configuring permissions for API Gateway to invoke Lambda, and deploying the Lambda with ARM64 architecture to reduce costs. Finally, the tutorial demonstrates how to start the client application and test the functionality. | |
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mbrizic.com
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