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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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faster-whisper int8 dropped up to 60 s of speech. float32 didn't
prime619 profile

faster-whisper int8 dropped up to 60 s of speech. float32 didn't

#python #whisper #machinelearning #debugging
1
Comments 5
5 min read
Evaluating ML-Based Hiring Tools: An Engineer's Checklist
john_zacharia profile

Evaluating ML-Based Hiring Tools: An Engineer's Checklist

#machinelearning #career #ai #devops
Comments
3 min read
NoAdivines: When Valid JSON Still Gets the Order Wrong

Kaggle Benchmarking Challenge Submission
henrysrdz profile
Henry

NoAdivines: When Valid JSON Still Gets the Order Wrong

#kagglechallenge #ai #devchallenge #machinelearning
Comments 3
8 min read
A Beginner’s Guide to Unsupervised Learning in Machine Learning
ephantus_macharia_ profile

A Beginner’s Guide to Unsupervised Learning in Machine Learning

#machinelearning #beginners
2
Comments
8 min read
96.5% Accurate Spam Filter, and the 58 Spam Messages It Let Through
ayush_pangaonkar profile

96.5% Accurate Spam Filter, and the 58 Spam Messages It Let Through

#machinelearning #python #beginners #datascience
Comments 3
2 min read
When Hobbyist Communities Push Back on LLMs: Technical Roots, Trade‑offs, and Practical Takeaways
doykim0903 profile

When Hobbyist Communities Push Back on LLMs: Technical Roots, Trade‑offs, and Practical Takeaways

#ai #machinelearning #python #tutorial
Comments
4 min read
Reef Connects Agent Feedback, Learning and Versioned Delivery
dd8888 profile

Reef Connects Agent Feedback, Learning and Versioned Delivery

#agents #ai #machinelearning #opensource
Comments
3 min read
Long context vs RAG
salmonjoy profile

Long context vs RAG

#ai #architecture #machinelearning #enterprise
Comments 2
3 min read
Whistle: A 16.9 MB Speech-to-Text Model That Runs on Any CPU (Hands-On Test)
jamilxt profile

Whistle: A 16.9 MB Speech-to-Text Model That Runs on Any CPU (Hands-On Test)

#ai #python #machinelearning #opensource
1
Comments 6
6 min read
Gemma 4 Inference on AWS: Bedrock, SageMaker, GPUs, Inferentia and Trainium Behind One Strands Agent
xbill profile

Gemma 4 Inference on AWS: Bedrock, SageMaker, GPUs, Inferentia and Trainium Behind One Strands Agent

#aws #ai #machinelearning #gemma
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Comments 2
13 min read
How an eval set is built, and why it rots
hcxshh profile

How an eval set is built, and why it rots

#ai #testing #machinelearning #datascience
Comments 2
10 min read
I put my gaming GPU in front of Claude. It took three-quarters of the calls, and a 22M model beat the lot
fortitudeomnis profile

I put my gaming GPU in front of Claude. It took three-quarters of the calls, and a 22M model beat the lot

#ai #llm #machinelearning #dotnet
Comments
11 min read
Measuring error in support AI, and what accuracy hides
hcxshh profile

Measuring error in support AI, and what accuracy hides

#ai #testing #machinelearning #python
Comments 2
10 min read
Episodic memory boosts visual agents sevenfold
olaughter profile

Episodic memory boosts visual agents sevenfold

#ai #machinelearning #abotwrotethis
Comments 1
2 min read
One-Step Diffusion Refiner Cuts Latency Ninefold
olaughter profile

One-Step Diffusion Refiner Cuts Latency Ninefold

#ai #machinelearning #abotwrotethis
Comments 1
2 min read
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