Import { HttpClient } from '@angular/common/http'; Import { Injectable, inject } from '@angular/core'; Import { CommentSchema, Comment } from '../models/comment.model'; Import { verifyResponse } from '../utils/schema.validator'; Import { Observable } from 'rxjs'; @Injectable({ providedIn: 'root', }) Export class CommentsService { private readonly http = inject(HttpClient); public getCommentById(id:... - Source: dev.to / 3 months ago

To implement data loading, we'll utilize a dummy REST API called TypiCode, which offers various types of dummy data for development and testing purposes. We'll fetch some dummy blog posts using this service. The URL structure provided by this API is as follows:. - Source: dev.to / 2 months ago

Import { Injectable } from '@angular/core'; Import { HttpClient } from '@angular/common/http'; Import { Observable, throwError } from 'rxjs'; Import { catchError } from 'rxjs/operators'; @Injectable({ providedIn: 'root' }) Export class DataService { private apiUrl = 'https://jsonplaceholder.typicode.com'; constructor(private http: HttpClient) { } // Method to fetch JSON data getJsonData():... - Source: dev.to / 3 months ago

I will use the JSON placeholder to fake our services and API's. You can find: https://jsonplaceholder.typicode.com/. - Source: dev.to / 3 months ago

Export default function App() { const [items, setItems] = useState(null); const [selectedItems, setSelectedItems] = useState([]); function loadUsers() { fetch('https://jsonplaceholder.typicode.com/users') .then(response => response.json()) .then(users => setTimeout(() => setItems(users), 3000)); } console.log('Selected:', selectedItems); return ( ... - Source: dev.to / 4 months ago

Many settings affect the outputs in interesting ways, but that's half the fun. These LoRAs are very lightly trained; more training may or may not help. The competitions are also performed using zero-shot text guessing, and if Facebook said it, you can bet that's actually Meta AI saying it, and they are leaders in the field. Source: over 1 year ago

You should look at the entire niche of MAE-related papers, that's quite exciting, and the neuroscience-inspired stream of stuff like Barlow Twins. As well, the official Facebook AI blog is surprisingly good coverage of much of the interesting un/semi-supervised DL research FAIR does, and worth going through. Source: almost 2 years ago