I had this in my new heat project but wasnt using it anymore and didnt want to just delete it or keep it in the codebase as a comment, so a gist it is.
export async function fetchWithProgress(
url: string,
onProgress?: (progress: number) => void
) {
const response = await fetch(url);
if (!response.ok) {
We're on the hunt for an exceptional talent with machine learning expertise and an itch to in deploy ML pipelines into an iOS applications.
In this pivotal role within our healthcare-focused start-up, you'll have the opportunity to create state-of-the-art models to analyze human movement data with clinical precision. This role is more than a job - it's a unique chance to contribute to ground-breaking health tech solutions that have the potential to significantly improve patient outcomes and therapists’ quality of work.
Do you get the Vision?
Responsibilities:
Conversation with ChatGPT Model-4
Overview of the various options, with a deep dive into the implementation using AWS Amplify with the GraphQL API capabilities. Finished with real-time feedback considerations.
An abstraction to guide ML system design and operation. MLOps can use this pattern as a discipline to deploy ML pipelines to production quickly and effectively.
The fact is ML applications introduce a new culture; their deployment and operations require new discipline and processes different from the existing DevOps practices" -Xu