Matching Engine
The Matching Engine is an end-to-end ML-based algorithm surrounded by Django-based, fully integrated infrastructure. It efficiently matches teams for i2i startup and pitch events based on participant…
Read the full articleYou might also wanna read
Wildcard Y Combinator Startup Seeks Founding Applied ML Engineer for Agentic Commerce Platform
Founding Applied ML Engineer About Wildcard Wildcard is the agentic commerce optimization platform for ecommerce and retail brands. We help
ycombinator.com·19d ago
Building a Simple Search Engine from Scratch: A Practical Alternative to Complex Solutions
You don't need Elasticsearch for most projects. I built a simple search engine from scratch that tokenizes everything, stores it in your exi
karboosx.net·7mo ago
Google's TorchTPU Enables Native PyTorch Execution on TPU Infrastructure
TorchTPU is a new engineering stack designed to provide a native, high-performance experience for running PyTorch workloads on Google’s TPU
developers.googleblog.com·2mo ago
HASTE: A Hierarchical Multi-Agent System for Transfer-Efficient ML Engineering Across Competitions
ML engineering agents waste compute rediscovering known techniques because every competition is a cold start. We present HASTE, a hierarchic
arxiv.org·5d ago
Lessie AI: AI-Powered Platform for Finding and Connecting with Target Contacts
Lessie is an AI agent that helps you find and reach the right people. Instead of filters or keywords, describe your target. Lessie discovers
Product Hunt·9mo ago
AI Search - New Workers AI models for text generation and embedding in AI Search
AI Search now supports four additional Workers AI models across text generation and embedding. Text generation Model Context window (tokens)
Comments
Sign in to join the conversation.
No comments yet. Be the first.