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OpenAI on 12th September 24 launched a new AI model named “Open AI o1” which they claim to have more versatility and more human-like reasoning. Open AI o1 can be more efficient than its predecessor models like ChatGPT 4o,3.5 turbo, etc as it can reason through complex tasks and is capable of solving harder problems. OpenAI has released it as the first of its series in ChatGPT and OpenAI API. It is just a preview and you can expect more updates coming frequently.

As we continue to push the boundaries of Artificial Intelligence (AI) and Machine Learning (ML), a new approach has emerged that’s poised to revolutionize the way we interact with machines. Meet Retrieval Augmented Generation (RAG), a cutting-edge technique that combines the strengths of retrieval-based and generative models. In this article, we’ll delve into the world of RAG in AI ML, exploring its history, development, and applications.

In today’s data-driven world, artificial intelligence (AI) and machine learning (ML) require efficient data storage and retrieval methods. Enter vector databases—a breakthrough in how we handle large-scale, unstructured data, providing the backbone for smarter, faster AI models. Let’s dive into what vector databases are and why they’re essential in modern AI development.