DEV Community

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.

Posts

đź‘‹ Sign in for the ability to sort posts by relevant, latest, or top.
I let GPT-4o and a cheaper model fight over my inbox. GPT-4o lost.

I let GPT-4o and a cheaper model fight over my inbox. GPT-4o lost.

8
Comments 5
4 min read
Agentsync: Version, Merge, and Audit AI Agent Configurations Like Code

Agentsync: Version, Merge, and Audit AI Agent Configurations Like Code

3
Comments
6 min read
Intercepting Gradients in PyTorch: Preprocess the Update Before Your Optimizer Sees It

Intercepting Gradients in PyTorch: Preprocess the Update Before Your Optimizer Sees It

Comments
3 min read
One image schema for four VLM providers: we stopped reformatting payloads

One image schema for four VLM providers: we stopped reformatting payloads

Comments
4 min read
Why JSON is Becoming a Bottleneck for AI Agents

Why JSON is Becoming a Bottleneck for AI Agents

Comments
2 min read
RAG Retrieval Gotchas at Scale: Navigating the Challenges

RAG Retrieval Gotchas at Scale: Navigating the Challenges

1
Comments
4 min read
How Be Recommended by Inithouse Scores AI Visibility 0 to 100 Across ChatGPT, Perplexity, Claude and Gemini

How Be Recommended by Inithouse Scores AI Visibility 0 to 100 Across ChatGPT, Perplexity, Claude and Gemini

1
Comments
4 min read
KNN early termination in Manticore Search

KNN early termination in Manticore Search

Comments
8 min read
The Stove, the Sphinx, and the Dream State

The Stove, the Sphinx, and the Dream State

Comments
7 min read
How I built a quantum-inspired route optimizer in pure Python (no quantum hardware)

How I built a quantum-inspired route optimizer in pure Python (no quantum hardware)

Comments
2 min read
Our event-camera detector lost 6 mAP to a badly chosen accumulation window

Our event-camera detector lost 6 mAP to a badly chosen accumulation window

Comments
4 min read
I proposed a rules layer for the A2A protocol. Here's why.

I proposed a rules layer for the A2A protocol. Here's why.

1
Comments 7
3 min read
Why Enterprise AI Projects Fail: Platform-First Thinking

Why Enterprise AI Projects Fail: Platform-First Thinking

Comments
13 min read
Aggregate eval scores hid a 14-point regression in one user segment

Aggregate eval scores hid a 14-point regression in one user segment

Comments
4 min read
AI Weekly Digest: Memory Wars, Model Upgrades, and the Trading Benchmark That Humbled Five LLMs

AI Weekly Digest: Memory Wars, Model Upgrades, and the Trading Benchmark That Humbled Five LLMs

Comments
9 min read
đź‘‹ Sign in for the ability to sort posts by relevant, latest, or top.