This post covers what I've learned about Akamai's VPC, how I deployed one with Terraform, and why it's good for security.
Read MoreI Deployed My Own Cute Lil’ Private Internet (a.k.a. VPC) This post covers infrastructure improvement ideas for an existing AI application's architecture for better delivery, performance, and cost-reduction.
Read MoreAdvanced Architecture for AI Application (AKA AAAA!) This post covers preparing our app for production, deploying to a VPS, running it with a process manager, and using a reverse-proxy with an SSL.
Read MoreAI for Web Devs: Deploying Your AI App to Production In this post we'll walk through our existing AI application and address bugs, security, and reliability concerns for most apps and AI apps specifically.
Read MoreAI for Web Devs: Addressing Bugs, Security, & Reliability In this post we create a Dialog component with Qwik before I share my strategy for dealing with the nuances of AI image generation with OpenAI.
Read MoreAI for Web Devs: AI Image Generation Prompt engineering lets you modify AI behavior without changing application code. This post covers tools and techniques for prompt engineering.
Read MoreAI for Web Devs: Prompt Engineering Just some thoughts on life
Read MoreOn Work-Life Balance, Depression, & Purpose Good things to understand when building AI applications: artificial neural networks, LLMs, parameters, embeddings, GPTs, and hallucinations.
Read MoreAI for Web Devs: What Are Neural Networks, LLMs, & GPTs? Adding HTTP streaming to AI applications can improve perceived performance. This post covers the server side and client side requirements.
Read MoreAI for Web Devs: Faster Responses with HTTP Streaming Make API request to OpenAI with fetch and Qwik forms, protect API keys with Qwik actions, and hide secrets with environment variables.
Read MoreAI for Web Devs: Your First API Request to OpenAI