marktechpost

Safely Deploying ML Models to Production: Four Controlled Strategies (A/B, Canary, Interleaved, Shadow Testing)

Deploying a new machine learning model to production is one of the most critical stages of the ML lifecycle. Even if a model performs well on validation and test datasets, directly replacing the ...
marktechpost

A Complete End-to-End Coding Guide to MLflow Experiment Tracking, Hyperparameter Optimization, Model Evaluation, and Live Model Deployment

In this tutorial, we build a complete, production-grade ML experimentation and deployment workflow using MLflow. We start by launching a dedicated MLflow Tracking Server with a structured backend and ...
IEEE

CCS-SQL: Enhancing Text-to-SQL Framework for Computational Queries via Large Language Models

Abstract: The Text-to-SQL task is to convert natural language queries into Structured Query Language (SQL) to achieve a natural language interface for database queries. The current research on Text-to ...
IEEE

A Hybrid Deep Learning Model for SQL Injection Attack Detection

Abstract: An increasing number of web application services raises significant security concerns. Online access to these applications exposes them to multiple cyberattacks. The Open Web Application ...
GitHub

FastAPI + SQLAlchemy 2.0 (async) + Alembic + PostgreSQL

app/ api/ # FastAPI route modules core/ # config, auth, db setup crud/ # data access helpers models/ # SQLAlchemy models schemas/ # request/response models services/ # business logic alembic/ # ...
autoevolution

YouTuber Finds 1926 Ford Model T, Makes 2.5-Hour 'Make It Run' Tutorial, Sets It on Fire

Some cars invite you in with chrome and comfort. The Model T invites you into a time machine, hands you three pedals that mean the wrong things, and politely asks you to learn 1910s. Then it coughs, ...
Scientific Research Publishing

Designing a Detection Model for SQL Injection Attack ()

SQL injection attacks pose a critical threat to web application security, exploiting vulnerabilities to gain access, or modify sensitive data. Traditional rule-based and machine learning approaches ...
GitHub

A powerful FastAPI-based REST API that converts natural language questions into SQL queries using OpenAI's language models and LangChain.

Person names: The API first calls guess_language_family() on the extracted value. If unresolved placeholders remain in the SQL query after entity resolution, the API skips execution to avoid running a ...