GitHub

Machine Learning-based House Price Prediction API built using Flask, Scikit-Learn, and RESTful APIs. Supports real-time price prediction through Postman and web requests.

This project is a Machine Learning-based House Price Prediction System developed using Python, Scikit-Learn, and Flask. The model is trained on housing data to predict property prices based on various ...

Liquid AI's smallest model yet LFM2.5-230M beats models 4X its size at data extraction, can run 'anywhere'

LFM2.5-230M proves that while 3-billion-parameter models like VibeThinker are solving advanced calculus, a ...
GitHub

nikitha2525/Loan_approval_system

loan_approval_system/ │ ├── app.py # Flask application ├── vercel.json # Vercel deployment config ├── pyproject.toml # Python project config ├── requirements.txt # Dependencies ├── .gitignore ├── ...
InfoWorld

Using Visual Studio Code’s ‘air-gapped’ AI model mode

VS Code can use LLM models other than GitHub Copilot’s built-in providers for AI-assisted development, including local and ...
InfoQ

Cloudflare Ships Agent Skills for Zero Trust Deployment and Migration

Cloudflare released the Cloudflare One stack, an open-source library of agent skills for planning, deploying, and managing ...
techtimes

Open-Source Coding Model Ornith-1.0 Writes Its Own Training Scaffold in Reinforcement Learning

DeepReinforce today released Ornith-1.0, a family of open-source coding models built around a mechanism most RL-trained agents avoid: the model itself writes the training harness that guides its own ...
TDWI

From Pilot to Production: Why LLM Features Stall, and a Readiness Checklist for Data Leaders

Pilots that looked promising do not always survive the transition, and the failure pattern is consistent enough that data leaders can plan around it. This article describes three failure modes that ...