Categories: AI/ML News

Specialized models: How AI is following the path of hardware evolution

The future of LLMs will be in deploying simpler models for the majority of AI tasks, reserving larger models for more complex duties.Read More

A simpler path to better computer vision

Before a machine-learning model can complete a task, such as identifying cancer in medical images, the model must be trained. Training image classification models typically involves showing the model millions of example images gathered into a massive dataset.

November 24, 2022

In "AI/ML News"

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"

How to Fine-Tune a Local Mistral or Llama 3 Model on Your Own Dataset

Large language models (LLMs) like Mistral 7B and Llama 3 8B have shaken the AI field, but their broad nature limits their application to specialized areas.

December 22, 2025

In "AI/ML Research"

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