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...
Artificial Intelligence blog

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...
Building Reliable AI Agents with Modular and Scalable Frameworks
Businesses are leaning heavily on AI agents these days. According to a study, 77% of companies are either currently using AI in their businesses or exploring its use cases. This number shows how AI agents are changing the business landscape. But building reliable AI...
How to Build an AI-Powered Personal Assistant for Everyday Productivity?
Introduction In today’s fast-paced world, managing multiple tasks, staying organized, and ensuring productivity can be overwhelming. With the constant influx of emails, meetings, deadlines, and personal commitments, individuals often struggle to keep up with their...
Best Practices for Monitoring and Logging in AI Systems
Imagine having an AI system that keeps the transactions of an e-commerce store in check. What if the system considers a bunch of legitimate transactions fraudulent and flags those transactions? It will not only create a mess in the process but also impact the revenue....
LLM Challenges in Healthcare and Effective Mitigation Strategies
In today's fast-paced world, the sheer volume and velocity of data generation are unprecedented. To make this data useful, LLM models are trained. Large language models(LLMs) can use computational artificial intelligence (AI) algorithms to understand and generate...
An Introduction to Visual Language Models: The Future of Computer Vision Models
In a few years, artificial intelligence has jumped from identifying simple patterns in data to understanding complex, multimodal statistics. One of the most thrilling development in this zone is the rise of visual language models (VLMs). These models link the gap...
Benefits Of Training Employees On Artificial Intelligence
Artificial intelligence (AI) is quickly changing the corporate landscape, and businesses that don’t use it risk falling behind. Here, we will talk about the benefits of training employees on artificial intelligence, since we believe that if a company, from managers to employees, knows how AI can benefit them, they will be more likely to solve their problems with AI.