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"

5 Reasons Why Traditional Machine Learning is Alive and Well in the Age of LLMs

Nowadays, everyone across AI and related communities talks about generative AI models, particularly the large language models (LLMs) behind widespread applications like ChatGPT, as if they have completely taken over the field of machine learning.

April 10, 2025

In "AI/ML Research"

AI Generated Robotic Content