yswnth

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yswnth

yswnth

@yswnth

build great stuff

เข้าร่วม Kasım 2020
430 กำลังติดตาม553 ผู้ติดตาม
ทวีตที่ปักหมุด
yswnth
yswnth@yswnth·
manifestation is simple. just write it and do. now mark it done.
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yswnth
yswnth@yswnth·
i’m so sleepy today. so just sleeping early.
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Nihit Singh
Nihit Singh@xnishidh·
Before Overfitting. In machine learning and especially in supervised machine learning. Every dataset has a feature vector and a label which is a class, every feature vector belongs to a particular class. we use this feature vector to generate training, validation and testing dataset. Sometimes needs to make the training dataset balance we use RandomOverSampler() such that the more will not dominate. collectively multiple feature vectors are called a feature matrix. We will feed the training feature vectors to our ML model and then will compare the prediction with the actual check for the losses and make the adjustments to the model for the validation. I drew three graphs that depicts the decision boundary line of our ML model between two classes (white & yellow). let's understand overfitting with these graphs down below:
Nihit Singh tweet mediaNihit Singh tweet media
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yswnth
yswnth@yswnth·
climate!!!
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yswnth
yswnth@yswnth·
simple walk.
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Kartik
Kartik@code_kartik·
so i build this video using a software build by @sankalpa_02 and it's freaking good. huge shoutout to him. you can also make this type of videos easily link in the comment.
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Vishal
Vishal@Vixhal·
Dear YouTube, I don't want the same videos (shuffled) when I hit the refresh button.
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yswnth รีทวีตแล้ว
aditya
aditya@adxtyahq·
so i built it used Step 3.7 Flash to power a startup research agent and gave it a single startup idea. the workflow needed multiple searches, competitor research, pricing analysis, funding research and market positioning before it could produce anything useful. what stood out was how well Step 3.7 Flash kept the entire process together. instead of treating search, reasoning and output as separate steps, it was able to carry context through the workflow and turn all of that information into something actionable. video below ↓
aditya@adxtyahq

why hasn't anyone built a multi-agent system where you give it a startup idea and it automatically: - researches competitors - finds pricing - checks funding - identifies market gaps - creates positioning - suggests a launch strategy basically doing 3-4 hours of founder research from a single prompt.

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spidey
spidey@lochan_twt·
thank you Google AI
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Ray🫧
Ray🫧@ravikiran_dev7·
iphone 17 pro or iphone pro max
Ray🫧 tweet mediaRay🫧 tweet media
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Aditya
Aditya@adityadotdev·
Prove me that you are not ai
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yswnth
yswnth@yswnth·
@sattyyouneed either one of those leads and the other one follows. right now it's anthropic time
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Satyam
Satyam@sattyyouneed·
anthropic bf, openai gf
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yswnth
yswnth@yswnth·
@Misbahtwts both were so good. if they have the depth effect of leaves and all, it would be much more amazing
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yswnth
yswnth@yswnth·
somebody point me to wispr flow alternativess
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yswnth
yswnth@yswnth·
@damnGruz so much change. we didnt expected
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yswnth
yswnth@yswnth·
actually what if native apple voice typing is just as good as wispr flow?
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yswnth
yswnth@yswnth·
@byteHumi you want to be in hydration debt or what? 😭😭
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Humi
Humi@byteHumi·
I just want to experiment fable 5 (Mythos) + ultra code (xhigh) + fast mode + /workflow + /goal + /loop how fast it can drain my token limits (it will be a wild run lads)
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