Manifold-Constrained Hyper-Connections (mHC), introduced by DeepSeek, propose a principled evolution of residual connectivity—one that preserves stability while dramatically increasing expressive power. This innovation could redefine how future large language models (LLMs) are trained and architected.

Moving beyond similarity search to true knowledge reasoning using GraphRAG

Designing the right context is what transforms powerful language models into reliable, grounded, and scalable AI systems. Context engineering shifts the focus from crafting better prompts to engineering how models see, reason, and act.

Modern neural networks can recognize faces, write stories, and even pass programming interviews — but they all share the same limitation: they stop learning once deployed.

A Deep Dive into Security Challenges, Ethical Implications, and Protective Strategies in Modern AI Systems.

The article offers a thorough overview of vector embeddings and their associated vector databases.

1-bit LLMs offer a revolutionary approach by storing weights using only 1 bit (0 or 1) instead of multiple bytes.

Demystifying Concepts and Algorithms Behind Generative AI such as ChatGPT and Bard.

The article contains an in-depth understanding of the very famous OpenAI 's GPT-3 language model.

The article contains a brief introduction to Vision Transformers(ViT) in Deep Learning. Image Credits Introduction This article is about...

"The quest for understanding human speech better." Image credits “A new AI milestone for understanding information", MUM is designed to...

Deep dive into the most complex Neural Network till now. Image credits Prerequisites before you start with this article: Basics of...