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 »
Machine Learning involves teaching computers to learn from data. Understanding the mathematical foundations behind ML is crucial for grasping how
Essential Mathematical Foundations for ML Read More »
What is Machine Learning? Machine Learning (ML) is a branch of artificial intelligence (AI). It allows computers to learn from
Introduction to Machine Learning Read More »
RAG Frameworks Retrieval-Augmented Generation (RAG) is a transformative AI technique that enhances large language models (LLMs) by integrating external knowledge
Leading RAG Framework Repositories on GitHub Read More »
What is Reinforcement Learning (RL)? Imagine you’re playing a video game, and every time you achieve a goal—like defeating a
Reinforcement Learning: A Beginner’s Guide Read More »
