This is an open collection of methodologies, tools and step by step instructions to help with successful training and fine-tuning of large language models and multi-modal models and their inference.

A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ...

Cervical spondylotic myelopathy (CSM) refers to spinal cord compression from arthritis in the neck and is the leading cause of spinal cord dysfunction in older adults. CSM is a chronic, progressive ...

Machine learning can predict many things, but can it predict who will develop schizophrenia years before the average ...

Coursiv sponsors Python Software Foundation, supporting the open-source language powering 80% of AI tools used by ...

Plotly Cloud adds team collaboration for publishing and sharing Dash apps, with enterprise security, centralized access ...

The demand for artificial intelligence and machine learning talent is accelerating as startups increasingly integrate a ...

The sixth generation (6G) wireless systems are envisioned to enable the paradigm shift from “connected things” to “connected intelligence”, featured by ultra high density, large-scale, dynamic ...

The blog recommended that users learn to train their own AI models by downloading the Harry Potter dataset and then uploading text files to Azure Blob Storage. It included example models based on a ...