Retrieval Augmented Generation (RAG) enhances the performance of large language models (LLMs) by incorporating extra knowledge from an external data source, which wasn't involved in the original model training. The two main components of RAG include indexing and retrieval.
Despite their merits, pre-trained embeddings models, trained on generic datasets like Wikipedia, often struggle to effectively portray…
Amazon Q, an AI-driven assistant developed for businesses, allows organizations to quickly find relevant solutions to important issues, streamline tasks, make quicker decisions, and promote innovation. Users can customize Amazon Q to match their business's branding and requirements.
This blog post provides a guide on how to create a personalized user interface (UI) for Amazon Q…
Large Multimodal Models (LMMs) use multiple data types, including text, images, and more in their training process, thus allowing a more comprehensive understanding and processing of diverse data types. Models like Claude3, GPT-4V, and Gemini Pro Vision are more adept at handling a broad range of real-world tasks that involve text and non-text inputs. This…
