IEEE

A Structured Query Language-Based Transplant Tracking for Secure and Transparent Organ Donation

Abstract: Aim: To improve accountability, transparency, and the general effectiveness of the organ and medication donation process by creating a safe and effective administration system utilizing ...
IEEE

Development of Cloud-Based Structured Query Language Injection (SQLi) Detection using Deep Learning and FastAPI

Abstract: Structured Query Language Injection (SQLi) attacks continue to pose a serious threat to web applications, especially those hosted in cloud-based environments. Traditional detection methods, ...
GitHub

SQL-R1: Training Natural Language to SQL Reasoning Model By Reinforcement Learning

Natural Language to SQL (NL2SQL) enables intuitive interactions with databases by transforming natural language queries into structured SQL statements. Despite recent advancements in enhancing ...
marktechpost

A Coding Implementation to Establish Rigorous Prompt Versioning and Regression Testing Workflows for Large Language Models using MLflow

In this tutorial, we show how we treat prompts as first-class, versioned artifacts and apply rigorous regression testing to large language model behavior using MLflow. We design an evaluation pipeline ...
Fast Company

Are LTMs the next LLMs? This new type of AI can do what large-language models can’t

A major difference between LLMs and LTMs is the type of data they’re able to synthesize and use. LLMs use unstructured data—think text, social media posts, emails, etc. LTMs, on the other hand, can ...