SmolAgents: A Simple Yet Powerful AI Agent Framework
SmolAgents is an open-source Python library developed by Hugging Face for building and running powerful…
AI Agents: A Comprehensive Overview
AI agents represent a significant advancement in AI, signifying a shift from AI systems that…
Pruning of ML Models: An Extensive Overview
Large ML models often come with substantial computational costs, making them challenging to deploy on…
Gradient Scaling: Improve Neural Network Training Stability
Gradient Clipping: A Key To Stable Neural Networks
PromptWizard: LLM Prompts Made Easy
PromptWizard addresses the limitations of manual prompt engineering, making the process faster, more accessible, and…
DSPy: A New Era In Programming Language Models
What is DSPy? Declarative Self-improving Python (DSPy) is an open-source python framework [paper, github] developed…
Large Concept Models (LCM): A Paradigm Shift in AI
Large Concept Models (LCMs) [paper] represent a significant evolution in NLP. Instead of focusing on…
Principles for Responsible AI
The rapid development and adoption of Artificial Intelligence (AI), particularly generative AI like Large Language…
Residual Connections in Machine Learning
One of the critical issues in neural networks is the problem of vanishing and exploding…
How to Initialize Weights in Neural Networks: A Deep Dive
Weight initialization in neural networks significantly influences the efficiency and performance of training algorithms. Proper…
The Vanishing and Exploding Gradient Problem in Neural Networks: How to Overcome It
Two critical issues that often arise in training deep neural networks are vanishing gradients and…
How to Choose the Best Learning Rate Decay Schedule for Your Model
The training process involves optimizing a model’s parameters to minimize the loss function. One crucial…
Top 20 Most Influential AI Research Papers of 2024
Here are the 20 influential AI papers in 2024: Mixtral of Experts (Jan 2024) [paper]…
Understanding the Bias-Variance Tradeoff: How to Optimize Your Models
In ML and statistical modeling, the concept of bias-variance trade-off is fundamental to model performance….