The idea of AI and machine learning models being able to understand visual and textual cues like humans seemed impossible even a few years back. However, with the emergence of multimodal AI, we have seen a revolution where AI can understand various modalities like...
Meta researchers published a 2020 paper introducing an “assisting” technique. At its core, this innovative technique merges the capabilities of Natural Language Generation (NLG) and Information Retrieval (IR): it is none other than Retrieval-Augmented...
Large Action Models (LAMs) are a new type of AI that can perform actions based on user instructions, going beyond the text generation capabilities of Large Language Models (LLMs). While LLMs like ChatGPT generate text, LAMs can execute tasks like booking services or...
Large Language Models and Generative AI have been growing and revolutionizing the world. However, just like Microsoft’s Tay Chatbot and Amazon’s AI-enabled recruitment tool, businesses are dealing with LLMs and wish to know how generative AI with large...
Humans are naturally capable of solving problems. From the ancient era to modern times, we have successfully used our creativity, logical reasoning, and intelligence to generate solutions for conflicts. However, with the advent and evolution of AI, we are facing new...
Artificial intelligence is a rapidly growing field. Reinforcement learning (RL) is one of the most powerful paradigms for training intelligent agents to make decisions in different environments. It can be best viewed in large, high-end language models like ChatGPT. ...
![What is Retrieval Augmented Generation (RAG)? [Examples Included]](https://annotationbox.com/wp-content/uploads/2025/01/what-is-retrieval-augmented-generation-rag-examples-included.webp)
