GenAI Oracle Powered RAG - Revisiting our Chatbot Back in March, we demonstrated a chatbot that uses RAG to allow users to query the content of our blog using natural language. It made use of OpenAI’s API to access their embedding models and the GPT 3.5 turbo Large Language Model (LLM), and used Weaviate as the
GenAI RAG Chatbot Demo Video - CloudWorld 2024 In a recent blog post we gave an overview of Retrieval Augmented Generation (RAG) as a way to leverage the natural language querying capabilities of Large Language Models (LLMs) on private or proprietary stores of unstructured data. A major use case for RAG is in the creation of chatbots which
GenAI Retrieval Augmented Generation - A Primer Retrieval augmented generation, or RAG, is rapidly gaining traction as the next disruptive evolution for generative AI models. Promising a reduction in the hallucinations sometimes experienced by large language models such as GPT-4, greater accuracy of responses, access to up-to-date information, and the capability to use private or proprietary data
GenAI Oracle Generative AI Services Overview The Oracle Generative AI Services is a new fully managed service where you can use and customise pre-trained large language models (LLMs) for text generation. It is now available on Oracle Cloud Infrastructure (OCI) in the US Midwest (Chicago) Region. The current facets of the service include: The Playground
GenAI Generative AI: The do-it-all Friend This revolutionary technology, a form of artificial intelligence, can create a whole range of diverse content like text, images, audio, and synthetic data. Although AI's roots trace back to the 1956 Dartmouth Summer Research Project, it was the introduction of generative adversarial networks (GANs) in 2014 that enabled
