Generative Al Revolutionizes Product Security Validation

In today’s digital-first world, product security is a must—not an afterthought. As cyber threats grow in complexity, traditional security validation methods—like manual code reviews, static analysis, and compliance checklists—are proving slow, reactive, and hard to scale.  Generative AI introduces a smarter, faster, and more proactive way to secure products. Leveraging large language models (LLMs) and […]

Transformers in a Nutshell.

Neural Networks has become a fundamental building block for AI models in the field of natural language processing (NLP). It is more relevant for generative AI (Gen-AI), a subfield of AI. These neural networks, inspired by human brain, are trained to learn patterns and make predictions, making it well-suited for generative AI tasks. ChatGPT by […]

The Impact of GDPR on Gen AI Deployment: Strategies for Business Analysts 

GDPR

The General Data Protection Regulation, which establishes strict criteria for data management and protection, has revolutionized the field of data privacy. It has a significant impact on the application of AI and presents enterprises with both opportunities and challenges. This post explores the methods business analysts can use to handle GDPR compliance in Gen AI initiatives. […]

Empowering AI Conversations: Exploring RAG Architecture and LangChain Framework for Next-Gen Chatbots and GenAI

In the continuously developing realm of natural language processing (NLP), two pioneering technologies have revolutionized how we interact with and process language: Retrieval Augmented Generation (RAG) and LangChain. Combining the strengths of retrieval-based models with generative models, these innovations mark a significant step forward in the pursuit of more intelligent, context-aware language processing systems.  RAG […]

Beyond the Machine Mind: Understanding Hallucinations in Generative Models

Gen AI

GenAI (Generative Artificial Intelligence) is a type of AI (Artificial Intelligence) that falls under Deep Learning. GenAI creates text, code, image, or video-based output for the provided prompt. The output is based on the training data it analyzed and various patterns it learned. Though GenAI can create new information, it is not always accurate. Incorrect […]