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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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Midas126

Mar 27

Beyond the Hype: Building AI Agents That Actually Remember

#ai #machinelearning #agents #memory

5 min read

Praneeth Vadlapati

Mar 26

Index-RAG: Citation-first approach to RAG

#ai #rag #opensource #machinelearning

5 min read

Apr 27

The Context Window Lie: Why Your LLM Remembers Nothing

#ai #llm #machinelearning #architecture

5 min read

Mar 26

Failing to Train DeBERTa to Detect Patent Antecedent Basis Errors

#machinelearning #nlp #ai #python

9 min read

Mar 26

From zero to a RAG system: successes and failures

#ai #machinelearning #techtrends

5 min read

Alessandro Pignati

Mar 30

Unpacking the AI Frontier: Lessons from the Claude Mythos/Capybara Leak

#ai #machinelearning #cybersecurity #aisecurity

5 min read

Jim L

Apr 29

Cohere just open-sourced a 5.42 WER speech model - here's what testing it on real audio showed

#ai #machinelearning #nlp #opensource

4 min read

Mark Thorn

Apr 29

RAG vs Fine-Tuning: Which One Should You Actually Use?

#ai #machinelearning #webdev

6 min read

ever9998

Apr 29

Achieving Maximum Throughput on vLLM with a Single RTX 3090: A Production Guide for 7B LLMs

#llm #machinelearning #performance #tutorial

4 min read

Mar 26

PaperBanana: Automating Research Diagrams With an Agentic AI Framework

#python #ai #machinelearning #datascience

7 min read

Wei Zhang

Mar 26

AI Video Just Crossed the 'I'd Watch It' Line — What Changed and What Still Hasn't

#ai #video #machinelearning #productivity

4 min read

Clément SAILLANT

Apr 18

Open-sourcing a full fine-tuning pipeline for embedded engineering — training toolkit + 35-domain MoE-LoRA model

#embedded #opensource #ai #machinelearning

4 min read

Devasish Banerjee

Mar 26

How I Built a Hallucination Detector for RAG Pipelines in Python

#python #rag #llm #machinelearning

3 min read

Skila AI

Mar 27

ARC-AGI-3 Just Broke Every Frontier Model. Humans Score 100%. GPT-5.4 Scores 0.26%.

#ai #machinelearning #programming #research

3 min read

Midas126

Mar 26

The AI Engineer's Toolkit: Moving Beyond Prompt Engineering to Build Robust AI Applications

#ai #machinelearning #softwareengineering #llm

5 min read

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