An In-Depth Exploration of Loss Functions
The loss function quantifies the difference between the predicted output by the model and the actual output (or label) in […]
An In-Depth Exploration of Loss Functions Read More »
Activation Functions: The Key to Powerful Neural Networks
Neural networks are inspired by the human brain, where neurons communicate through synapses. Just as biological neurons are activated when
Activation Functions: The Key to Powerful Neural Networks Read More »
SmolLM2: Revolutionizing LLMs For Edge
SmolLM2 is a family of compact language models, available in three sizes: 135M, 360M, and 1.7B parameters. These models are
SmolLM2: Revolutionizing LLMs For Edge Read More »
Exploring the Power of Qwen: Alibaba’s Advanced Language Models
Qwen2.5 marks a significant milestone in the evolution of open-source language models, building upon the foundation established by its predecessor,
Exploring the Power of Qwen: Alibaba’s Advanced Language Models Read More »
Data Scientists and Machine Learning Engineers: Two Sides of the Same Coin
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 »
Smoltalk: Dataset Behind SmolLM2’s Success
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 »
SLM: The Next Big Thing in AI
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 Like a Pro
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 »
Historical Context and Evolution of Machine Learning
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 »
Tools and Frameworks for Machine Learning
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 »
Squid: A Breakthrough On-Device Language Model
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 »
OmniVision: A Multimodal AI Model for Edge
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 »