Categories: AI/ML News

Popular vs. reliable sources—a blind spot in how LLMs assess information

Large language models (LLMs), the artificial intelligence (AI) systems underpinning ChatGPT and similar conversational platforms, are now used by many people worldwide to find and summarize information and generate different types of text. Despite their widespread use, these models still have notable limitations.

5 Problems Encountered Fine-Tuning LLMs with Solutions

Fine-tuning remains a cornerstone technique for adapting general-purpose pre-trained large language models (LLMs) models (also called foundation models) to serve more specialized, high-value downstream tasks, even as zero- and few-shot methods gain traction.

May 1, 2025

In "AI/ML Research"

Quantizing LLMs Step-by-Step: Converting FP16 Models to GGUF

Large language models like LLaMA, Mistral, and Qwen have billions of parameters that demand a lot of memory and compute power.

January 9, 2026

In "AI/ML Research"

New neural framework could make LLMs more empathetic

As more people turn to large language models (LLMs) during personal crises, the companies behind them are engineering these AI-powered models to be more personal, empathetic and understanding when prompts indicate a user is in emotional distress.

October 28, 2026

In "AI/ML News"

AI Generated Robotic Content