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derisk-sql: Remove unexpected risks from your SQL migrations
An overview of APrime’s derisk-sql: how it prevents mistakes from entering your SQL migration files and impacting your releases, how easy it is to extend with additional checks, and how it can improve your database performance, optimization, and storage usage!
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APrime’s LLM Kit, Part 3: In-Depth Walkthrough of Self-Hosted AI Setup
This guide provides a detailed breakdown of the various steps required to launch a self-hosted AI Model in AWS via our free quickstart script and Terraform modules. If you have additional questions or want to learn more about anything in this guide, please reach out to us via llm@aprime.io. This is Part 3 of our…
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APrime’s LLM Kit, Part 2: Quickstart Guide to Self-Hosting AI Models in AWS
In this guide, we walk you through the process of self-hosting AI models in AWS, leveraging the power of ECS, GPU (graphics processing unit) instances, and Hugging Face‘s Text Generation Inference (TGI) service to create a robust and scalable AI deployment. This post focuses on how you can get started with a single GPU instance,…
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APrime’s LLM Kit, Part 1: How to host your own private AI models in AWS
Welcome to APrime’s three-part series on hosting your own Large Language Models (LLMs) in Amazon Web Services (AWS) by using our free, open-source tools. Whether you are eager to leverage AI in your product but wary of sharing your data with third parties like OpenAI or are simply unsure where to begin with deploying AI…
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