While data scientists and machine learning engineers often collaborate closely and their work may overlap, there are distinct differences in […]
Data Scientists and Machine Learning Engineers: Two Sides of the Same Coin Read More »
Key Features of the Dataset The dataset used to train Smollm2 is a critical component of its success. Here are
Smoltalk: Dataset Behind SmolLM2’s Success Read More »
The emergence of small language models (SLMs) is poised to revolutionize the field of artificial intelligence. These models, exemplified by
SLM: The Next Big Thing in AI Read More »
Testing machine learning code is essential for ensuring the quality and performance of your models. However, it can be challenging
Testing Machine Learning Code Like a Pro Read More »
Understanding the historical context and evolution of machine learning not only provides insight into its foundations but also illustrates its
Historical Context and Evolution of Machine Learning Read More »
Choosing the right tools and frameworks is crucial for anyone stepping into the world of machine learning. Let’s dive into
Tools and Frameworks for Machine Learning Read More »
In the rapidly evolving landscape of artificial intelligence, the demand for efficient, accurate, and resource-friendly language models has never been
Squid: A Breakthrough On-Device Language Model Read More »
Nexa AI unveiled the OmniVision-968M, a compact multimodal model engineered to handle both visual and text data. Designed with edge devices in
OmniVision: A Multimodal AI Model for Edge Read More »
To compute the number of tokens in a Vision Transformer (ViT), it’s essential to understand how images are processed and
How To Compute The Token Consumption Of Vision Transformers? Read More »
Mojo is a new programming language specifically designed for AI development. It was officially launched in August of 2023 and
Mojo: A Comprehensive Look at the New Programming Language for AI Read More »
Machine learning has broad applications that shape our everyday lives. We will discuss some of the most common applications. 1.
Real-World Applications of Machine Learning: An Extensive List Read More »
Low-Rank Adaptation (LoRA) is a novel and efficient method for fine-tuning large language models (LLMs). By leveraging low-rank matrix decomposition,
Understanding LoRA Technology for LLM Fine-tuning Read More »
