TMCnet

Kumo Launches KumoRFM-2, the First Foundation Model to Outperform Machine Learning on Enterprise Data, Scaling to 500 Billion Rows

Built on a new architecture KumoRFM-2 achieves state-of-the-art results across 41 predictive tasks and four major benchmarks, ...
XDA Developers on MSN

I used my local LLM to rebuild my workflow from scratch, and it was better than I expected

I rebuilt my workflow when AI finally felt truly mine.

From LLMs to hallucinations, here’s a simple guide to common AI terms

The rise of AI has brought an avalanche of new terms and slang. Here is a glossary with definitions of some of the most ...
IEEE

AI Generated Text Detection using LORA based fine-tuning of LLM Models

Abstract: As the increased use of sophisticated language models such as ChatGPT, Davinci, and Cohere spreads, it is becoming more difficult to differentiate machine-generated text from human-written ...
InfoWorld

Spring AI tutorial: How to develop AI agents with Spring

Build your first fully functional, Java-based AI agent using familiar Spring conventions and built-in tools from Spring AI.
EurekAlert!

A cost-effective text-to-SQL approach based on adaptive refinement

The purpose of the Text-to-SQL task is to bridge the gap between natural language and SQL queries. Current approaches mainly rely on large language models (LLMs), but employing them for Text-to-SQL ha ...
GitHub

Drop a file. Query with SQL. Visualize and share. All in your browser.

A browser-native SQL playground powered by DuckDB-Wasm. Drag & drop CSV, Parquet, JSON, or Excel files — write SQL, visualize results, and share with a link. No server, no account, no install. You ...
IEEE

NL2SQL-OLM: A Novel Framework for Natural Language to SQL with Schema-Aware LLM Prompting and Zero-Shot Query Generation

Abstract: This paper presents NL2SQL-OLM, a novel framework for converting natural language queries to SQL statements utilizing DeepSeek-Coder large language model, that is integrated with automatic ...