As Dark Side of AI continues its meteoric rise, it’s time to ask some uncomfortable questions. Are we truly in control of this technology or are we unwittingly unleashing something that could outpace our ability to manage it? Proponents of AI argue that it will revolutionize industries, save lives, and solve problems we can’t yet […]
There are two different approaches to artificial intelligence: generative and agentic. Every paradigm has its own special uses and qualities. Generative AI produces original ideas and content. Agentic AI, on the other hand, acts and takes decisions on its own. Different use cases are addressed by these two methods. Their particular aims and objectives influence
Generative vs Agentic AI: A Comparative Overview Read More »
Large language models (LLMs) have taken natural language processing to new heights, enabling machines to understand and generate human language with remarkable accuracy. One emerging concept, Chain of Thought in LLM, is playing a pivotal role in improving the performance of these models, especially when tackling complex tasks that require reasoning. What is Chain of
The Role of Chain of Thought (CoT) in Large Language Models (LLMs) Read More »
Introduction In this blog post, we will examine the main features, uses, and possible future directions of foundation models, a class of large-scale neural networks that have become a revolutionary force in the field of artificial intelligence as a result of their capacity to learn from enormous volumes of data and apply that knowledge to
