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Creative Use Cases of AI: From Art to Data Science
Artificial Intelligence (AI) is no longer confined to traditional data-driven applications like analytics and business automation. Today, it has evolved…
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Vikrant Kapoor
The Science of Model Fine-Tuning: When and How to Retrain
Deploying a machine learning model is just the beginning of its lifecycle. Over time, real-world data shifts, user needs evolve, and new trends…
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Vikrant Kapoor
Retrieval-Augmented Generation (RAG) in Action: Unlocking the Full Potential of LLMs
As language models grow larger and more sophisticated, one key limitation continues to hold them back: up-to-date knowledge and specialized information…
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Vikrant Kapoor
Fine-Tuning Models with Human Feedback: A Hands-On Tutorial
In this blog, we’ll dive into how RLHF transforms basic language models into intelligent, human-aligned systems. By integrating structured human…
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Vikrant Kapoor
Why Are Transformers Essential for Large Language Models?
In this blog, I’ll break down the key innovations that set transformers apart and explore why they have become the preferred architecture for…
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Vikrant Kapoor
How RAG Completes the Puzzle for Enterprise AI Applications
In the ever-evolving landscape of enterprise AI, Retrieval-Augmented Generation (RAG) is emerging as a powerful tool that bridges the gap between…
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Vikrant Kapoor
The Architecture of GPT-4 and Beyond: What Lies Ahead?
In 2023, GPT-4 made waves by becoming one of the most advanced language models on the planet, not just for its raw processing power but for its ability…
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Vikrant Kapoor
Making AI Models More Efficient: Sparsity, Pruning, and Distillation Explained
Artificial Intelligence models are growing exponentially in size and complexity, making them more accurate, but also more resource-hungry. As these…
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Vikrant Kapoor
The Rise of Multimodal AI: Text, Image, and Sound in One Model
At the core, multimodal AI models rely on powerful techniques like transformers and attention mechanisms. These allow the model to understand…
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Vikrant Kapoor
The Edge Revolution: Running Models Outside the Cloud
In recent years, the rise of Edge AI has started to reshape how machine learning models operate in the real world. The concept of running AI models on…
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Vikrant Kapoor
The Future of Generative AI: Key Trends Shaping 2024
As we march into 2024, generative AI continues to evolve, becoming more refined, powerful, and adaptable to industry-specific applications. This year…
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Vikrant Kapoor
How to Choose the Right AI Model for Your Business Needs
As artificial intelligence (AI) continues to make waves across industries, businesses are realizing the potential to leverage AI for efficiency…
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Vikrant Kapoor
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