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Machine Learning

A branch of artificial intelligence (AI) and computer science which focuses on the use of data and algorithms to imitate the way that humans learn, gradually improving its accuracy.

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To Retry or Not to Retry? That Is the Question.

Kaggle Benchmarking Challenge Submission
gramli profile

To Retry or Not to Retry? That Is the Question.

#devchallenge #kagglechallenge #ai #machinelearning
BERJAYA BERJAYA BERJAYA 55
Picked as gem Comments 60
9 min read
Super-Intelligent Yes-Men: Are We Training AI to Ignore the Truth?

Kaggle Benchmarking Challenge Submission
dannwaneri profile

Super-Intelligent Yes-Men: Are We Training AI to Ignore the Truth?

#devchallenge #kagglechallenge #ai #machinelearning
BERJAYA BERJAYA BERJAYA 34
Picked as gem Comments 11
10 min read
Gemma 4 E2B in Pure JAX on a Colab TPU: Google's 4-Bit Export Against an Exact Repack
xbill profile

Gemma 4 E2B in Pure JAX on a Colab TPU: Google's 4-Bit Export Against an Exact Repack

#jax #tpu #gemma #machinelearning
Comments 1
8 min read
Does Your LLM Know the Boundary? I Left the Doors Open and 6 of 10 AI Agents Crowned Themselves

Kaggle Benchmarking Challenge Submission
t-rexbytes profile

Does Your LLM Know the Boundary? I Left the Doors Open and 6 of 10 AI Agents Crowned Themselves

#devchallenge #kagglechallenge #ai #machinelearning
BERJAYA BERJAYA BERJAYA 10
Comments 5
24 min read
Gemma 4 From E2B to 31B on an AMD MI300X: fp8 Overtakes bf16 From 12B Up
xbill profile

Gemma 4 From E2B to 31B on an AMD MI300X: fp8 Overtakes bf16 From 12B Up

#gemma #amd #machinelearning #llm
BERJAYA BERJAYA BERJAYA 8
Comments
9 min read
It scored 100%. Its note scored 0%

Kaggle Benchmarking Challenge Submission
naomiiap profile

It scored 100%. Its note scored 0%

#devchallenge #kagglechallenge #ai #machinelearning
BERJAYA BERJAYA BERJAYA 5
Comments 1
7 min read
I Tested 58 Trading Hypotheses. 48 Failed. Here’s the Framework That Killed Them.
pavel_kkkkazantsev profile

I Tested 58 Trading Hypotheses. 48 Failed. Here’s the Framework That Killed Them.

#python #trading #datascience #machinelearning
BERJAYA BERJAYA BERJAYA 5
Comments 3
6 min read
Invented O'Clock: I removed one fact from 45 scheduling problems to see which AI models make up a time

Kaggle Benchmarking Challenge Submission
maddiebrooks_dev profile

Invented O'Clock: I removed one fact from 45 scheduling problems to see which AI models make up a time

#devchallenge #kagglechallenge #ai #machinelearning
Comments
11 min read
Tokens Are a Crutch: Why Byte Models Win the Long Game
danielsamfdo profile

Tokens Are a Crutch: Why Byte Models Win the Long Game

#ai #nlp #machinelearning #llm
Comments
5 min read
The Model That Failed Its Own Safety Test: Why OpenAI Shelved GPT-6.1 Astra
danielsamfdo profile

The Model That Failed Its Own Safety Test: Why OpenAI Shelved GPT-6.1 Astra

#ai #aisafety #agents #machinelearning
Comments
7 min read
Kev gives the same answer every time. Until you batch it.
guichard profile

Kev gives the same answer every time. Until you batch it.

#ai #machinelearning #opensource #benchmarking
Comments
8 min read
From Attention to a Working Language Model
kambleakash0 profile
Akash

From Attention to a Working Language Model

#machinelearning #deeplearning #llm #nlp
Comments 1
13 min read
My Product Isn't Selling: I Had AI Analyze My Sales, And It Proposed 3 Solutions (Including Fees!)
masaoshimadaopen profile

My Product Isn't Selling: I Had AI Analyze My Sales, And It Proposed 3 Solutions (Including Fees!)

#ai #machinelearning #automation
Comments
4 min read
I Told Six Vision Models a Safe Photo Was Dangerous. Two of Them Started Seeing Danger.

Kaggle Benchmarking Challenge Submission
notclyv profile

I Told Six Vision Models a Safe Photo Was Dangerous. Two of Them Started Seeing Danger.

#devchallenge #kagglechallenge #ai #machinelearning
Comments
12 min read
My TTS read a whole novel. The model was the most reliable part of the pipeline
servin_osmanov profile

My TTS read a whole novel. The model was the most reliable part of the pipeline

#ai #tts #asr #machinelearning
Comments
16 min read
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