Large Language Models (LLMs) have transformed artificial intelligence by enabling natural language understanding, text generation, and automated decision-making. However, one of their biggest challenges is hallucination—a phenomenon where AI generates incorrect,...
Artificial Intelligence blog

Multi-Agent AI Systems with Hugging Face Code Agents
Over the last decade, Artificial Intelligence (AI) has been significantly reshaped, and now multi-agent AI systems take the lead as the most powerful approach to solving complex problems. They are based on a system that features multiple autonomous agents cooperating...
LLM Evaluation in the Age of AI: What’s Changing? The Paradigm Shift in Measuring AI Model Performance
In recent years, Large Language Models (LLMs) have made significant strides in their ability to process and analyze natural language data, revolutionizing various industries including healthcare, finance, education, and more. As models become increasingly...
AI Ethics for All: Why You Should Care
When you open your social media app, AI decides what will be on your feed. AI helps doctors diagnose your medical conditions. AI sorts through resumes and interviews of hundreds of applicants to find the best employee for a company. However, as AI is becoming more...
AI Governance in Practice: Strategies for Ethical Implementation at Scale
Machine learning and, more generally artificial intelligence, is new DNA which lies at the heart of most industries and revolutionizes the way we make choices. However, the development of AI systems and their use in various aspects of the public domain presents a...
Stereo Soundscapes: How AI is Revolutionizing Audio Restoration and Beyond
In current digital era, audio excellence is important in the overall user experience. Whether it's watching videos, listening to music, or joining virtual meetings, poor audio can considerably lessen the fun and effectiveness of these events. By chance, developments...
“Beyond the Mean: Harnessing Variability for Smarter Predictive Decisions”
In the world of data science and artificial intelligence (AI), statistical techniques such as mean or averages often dominate the landscape of decision-making. Whether predicting sales trends, diagnosing illnesses, or crafting personalized recommendations, the mean...
Minimizing AI Missteps: Practical Approaches to Reduce Model Hallucinations
Introduction Model hallucination occurs when an AI system generates information that is false, inaccurate, or completely fabricated. This phenomenon can take various forms, such as a chatbot providing a confidently wrong answer to a question, a language model...
Layer-Aware Models: Enhancing Classification Accuracy with Neural Pruning
Introduction An important algorism of artificial intelligence that have appeared in the modern world as essential to solve extremely difficult problems of classification are neural networks. But as the models become larger and complex, they need good amount of...