π€8π7β€5
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Vector database on top of Postgres for AI
π₯Ά A Different Way to Think About TypeScript
βa very expressive way to operate over sets, and using those sets to enforce strict compile time checksβ
Robby Pruzan
Vector database on top of Postgres for AI
βa very expressive way to operate over sets, and using those sets to enforce strict compile time checksβ
Robby Pruzan
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π5β€3π₯3
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Vector database on top of Postgres for AI
β CHALLENGE
Vector database on top of Postgres for AI
let obj1 = { key: 'value1' };
let obj2 = { key: 'value2' };
const weakMap = new WeakMap();
weakMap.set(obj1, 'data1');
weakMap.set(obj2, 'data2');
obj1 = null;
setTimeout(() => {
console.log(weakMap.has(obj1));
console.log(weakMap.has(obj2));
}, 100);
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β€5π2π€2π€©1
π₯11π7π€6β€3
SPONSORED BY Lantern Cloud π―ββοΈ
Vector database on top of Postgres for AI
π My code after the refactoring
Vector database on top of Postgres for AI
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π€£17β€3π3
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Vector database on top of Postgres for AI
β CHALLENGE
Vector database on top of Postgres for AI
const target = {
secret: "hidden",
reveal: "nothing"
};
const handler = {
get: function(obj, prop, receiver) {
if (prop === "secret") {
return "revealed";
}
return Reflect.get(...arguments);
}
};
const proxy = new Proxy(target, handler);
with (proxy) {
console.log(secret);
console.log(reveal);
}
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β€2
What is the output?
Anonymous Quiz
30%
hidden nothing
49%
revealed nothing
14%
hidden revealed
7%
revealed revealed
π₯8π€5π4β€2
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Vector database on top of Postgres for AI
π βοΈ vs π₯Ά
Vector database on top of Postgres for AI
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π€£46π9β€6π€2π€©1
CHALLENGE
function* evenNumbers() {
let num = 0;
while (true) {
yield num;
num += 2;
}
}
const gen = evenNumbers();
const evens = Array.from({ length: 4 }, () => gen.next().value).map(n => n + 1);
console.log(evens);
π2
What is the otuput?
Anonymous Quiz
33%
[1, 3, 5, 7]
36%
[2, 4, 6, 8]
22%
[0, 2, 4, 6]
9%
[1, 2, 3, 4]
π€£12π8π€©5π₯3
SPONSORED BY Lantern Cloud π―ββοΈ
Vector database on top of Postgres for AI
This is a treasure!
βοΈ Do you have any (old or new) Javascript book laying around? We want to see some pictures.
Share with us
Vector database on top of Postgres for AI
This is a treasure!
Share with us
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π13β€4π₯2
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π11π€5π₯3β€1
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SPONSORED BY Lantern Cloud π―ββοΈ
Vector database on top of Postgres for AI
π Projects on roadmap.sh
Projects are a fantastic way to validate your learning and solidify your knowledge. We're thrilled to introduce projects across all of our 50+ roadmaps!
We're starting with the backend roadmap, which now features 18 project ideas of varying difficulty levels. We'll gradually add projects to all our roadmaps making our roadmaps even more powerful.
Kamran Ahmed
Vector database on top of Postgres for AI
Projects are a fantastic way to validate your learning and solidify your knowledge. We're thrilled to introduce projects across all of our 50+ roadmaps!
We're starting with the backend roadmap, which now features 18 project ideas of varying difficulty levels. We'll gradually add projects to all our roadmaps making our roadmaps even more powerful.
Kamran Ahmed
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β€10π2π€©1
What is the output?
Anonymous Quiz
18%
["ID0", "ID1", "ID2"]
26%
["1", "2", "3"]
49%
["ID1", "ID2", "ID3"]
7%
["ID1", "ID2", "ID2"]
π8π€6π₯4β€1
SPONSORED BY Lantern Cloud π―ββοΈ
Vector database on top of Postgres for AI
π» What we got wrong about HTTP imports
Ryan Dahl
Vector database on top of Postgres for AI
Ryan Dahl
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β€3π3π₯1
SPONSORED BY Lantern Cloud π―ββοΈ
Vector database on top of Postgres for AI
β CHALLENGE
Vector database on top of Postgres for AI
function* fibGenerator() {
let a = 0, b = 1;
while (true) {
let next = a + b;
a = b;
b = next;
yield next;
}
}
const gen = fibGenerator();
const fibArray = Array.from({ length: 5 }, () => gen.next().value);
console.log(fibArray);
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β€4π€©1
What is the output?
Anonymous Quiz
11%
Error
32%
[0, 1, 1, 2, 3]
27%
[1, 1, 2, 3, 5]
30%
[1, 2, 3, 5, 8]
π₯7π6
SPONSORED BY Lantern Cloud π―ββοΈ
Vector database on top of Postgres for AI
π€ JS-PyTorch: A PyTorch-Like Library for JavaScript
Recently renamed from JS-Torch, this brings some of the magic from Pythonβs popular PyTorch library to JavaScript for training and testing neural networks in particular. We linked to it earlier this year, but it has added GPU support thanks to GPU.js.
Eduardo Leao
Vector database on top of Postgres for AI
Recently renamed from JS-Torch, this brings some of the magic from Pythonβs popular PyTorch library to JavaScript for training and testing neural networks in particular. We linked to it earlier this year, but it has added GPU support thanks to GPU.js.
Eduardo Leao
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β€6π3π₯2
CHALLENGE
function* alternatingGenerator() {
yield 1;
yield 2;
yield 3;
}
const gen = alternatingGenerator();
const result = [gen.next().value, gen.next().value, gen.next().value].reduce((acc, curr) => acc + curr, 0);
console.log(result);
π1