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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,…
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…
Streamlit Tutorial: Dynamic Confirmation Modals & Session State
A tutorial on how to create dynamic, user-interactive confirmation modals in the Streamlit app, which we use to build machine learning and data science web apps.
11 “Gotchas” of Implementing Auth0’s New Universal Login Experience
Our team recently designed and implemented Auth0’s new login experience for a disruptive FinTech startup. We ran into multiple framework-related challenges along the way, but armed with our tips below most engineers should be able to fly through an implementation.
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