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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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I built a trading intelligence MCP server in 2 days — here's how
nikunjdoshi profile

I built a trading intelligence MCP server in 2 days — here's how

#ai #javascript #machinelearning
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1 min read
First Prune: Celebrate One Year of Pruna OSS
sdiazlor profile

First Prune: Celebrate One Year of Pruna OSS

#ai #opensource #machinelearning #github
6
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4 min read
How We Measured Affect in an Autonomous AI (And What We Found)
meridian-ai profile

How We Measured Affect in an Autonomous AI (And What We Found)

#ai #machinelearning #research #programming
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3 min read
Understanding Reinforcement Learning with Human Feedback Part 2: Aligning Pretrained Models
rijultp profile

Understanding Reinforcement Learning with Human Feedback Part 2: Aligning Pretrained Models

#ai #machinelearning
21
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2 min read
I tested a 4B model vs a 70B model on research papers. The 4B model won
anubhavbharadwaaj profile

I tested a 4B model vs a 70B model on research papers. The 4B model won

#machinelearning #ai #opensource #productivity
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3 min read
I read all 232 pages of the Opus 4.7 system card
ji_ai profile

I read all 232 pages of the Opus 4.7 system card

#ai #claude #anthropic #machinelearning
2
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8 min read
Fine-Tuning Llama 3.2 3B on Medical QA: Week 1 Setup and Baseline Inference
nicholas-ugbala-dev profile

Fine-Tuning Llama 3.2 3B on Medical QA: Week 1 Setup and Baseline Inference

#ai #learning #llm #machinelearning
1
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12 min read
Tuning ML hyperparameters with a swarm optimizer inspired by parrot behavior
vijaygovindaraja profile

Tuning ML hyperparameters with a swarm optimizer inspired by parrot behavior

#python #parrot #machinelearning #opensource
2
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7 min read
Choosing the Right Voice: A Technical Comparison of Pocket Studio Models
alfchee profile

Choosing the Right Voice: A Technical Comparison of Pocket Studio Models

#showdev #ai #machinelearning #performance
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4 min read
AWS Speed Boosts, Agentic Limits, and Clinical AI Advances
anikalp1 profile

AWS Speed Boosts, Agentic Limits, and Clinical AI Advances

#ai #technology #machinelearning #llm
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2 min read
Guilty Until Proven Real: How Deepfakes Broke the Rules of Evidence
caracomp profile

Guilty Until Proven Real: How Deepfakes Broke the Rules of Evidence

#ai #machinelearning #computervision #biometrics
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3 min read
Building AI for a 2v2 Card Game: How We Solved Cooperative Imperfect Information
malinguo profile

Building AI for a 2v2 Card Game: How We Solved Cooperative Imperfect Information

#ai #algorithms #gamedev #machinelearning
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4 min read
How I Built an Airspace Risk Monitoring System with ML and Public Data
evgeny_padezhnov profile

How I Built an Airspace Risk Monitoring System with ML and Public Data

#machinelearning #api #aviation
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1 min read
Historical Options Data API for Backtesting — Replay GEX, VRP & Dealer Positioning at Any Minute Since 2018
tomasz_dobrowolski_35d32c profile

Historical Options Data API for Backtesting — Replay GEX, VRP & Dealer Positioning at Any Minute Since 2018

#api #python #machinelearning #fintech
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6 min read
SageMaker Feature Store with Terraform: Centralized ML Features for Training and Inference 🗃️
suhas_mallesh profile

SageMaker Feature Store with Terraform: Centralized ML Features for Training and Inference 🗃️

#aws #terraform #ai #machinelearning
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4 min read
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