See the hidden rules behind AI. Then use them to rewrite this article.

Understanding the secret commands that steer the behavior of chatbots like ChatGPT can help you customize them to your needs.
Campus Technology

Survey: 86% of Students Already Use AI in Their Studies

In a recent survey from the Digital Education Council, a global alliance of universities and industry representatives focused on education innovation, the majority of students (86%) said they use ...
GitHub

GitHub - angelos-p/llm-from-scratch

A hands-on workshop where you write every piece of a GPT training pipeline yourself, understanding what each component does and why. Andrej Karpathy's nanoGPT was my first real exposure to LLMs and ...
InfoQ

GitHub Enhances CodeQL with Declarative Security Modeling for Faster, More Flexible Analysis

GitHub has introduced a significant update to its CodeQL engine, enabling developers to define custom sanitizers and ...
TheServerSide

Java, JDBC and Postgres

The first thing you'll learn in this PostgreSQL and Java Database Connectivity (JDBC) tutorial is that most developers simply call it Postgres. The two terms are both interchangeable and official. Use ...
IEEE

Chatbot for Student Descipline Handbook-Related Queries: A RAG-Based LLM Using Llama-3 Approach

Abstract: This study presents a Retrieval-Augmented Generation (RAG)-based chatbot designed to handle student discipline handbook-related queries using Llama-3 and ChromaDB. By employing Sentence-BERT ...
Hosted on MSN

Master Python database skills for real projects

Python makes it simple to integrate with both relational and non-relational databases, enabling you to build robust, data-driven applications. With connectors for SQLite, MySQL, PostgreSQL, and ...
IEEE

QRAG: Using Learnable Graph Queries for Retrieval Augmented Generation

Abstract: Retrieval-augmented generation (RAG) is a critical feature of most LLM pipelines, ensuring the model produces precise, up-to-date, and hallucination-free results. However, traditional RAG, ...