As AI continues to advance, designers, builders, and creators are confronted with profound questions about the future of applications and how users will engage with digital experiences. AI Design Beyond the Chatbot. Generative AI has opened up vast possibilities, empowering people to utilize AI for tasks such as writing articles, generating marketing materials, building teaching
By now, you’ve likely experimented with generative AI language models (LLMs) such as OpenAI’s ChatGPT or Google’s Gemini to aid in composing emails or crafting social media content. Yet, achieving optimal results can be challenging—particularly if you haven’t mastered the art and science of formulating effective prompts. Generative AI Prompts with Retrieval Augmented Generation. The
A comprehensive study has been conducted on advanced retrieval augmented generation techniques and algorithms, systematically organizing various approaches. This insight includes a collection of links referencing various implementations and studies mentioned in the author’s knowledge base. If you’re familiar with the RAG concept, skip to the Advanced RAG section. Retrieval Augmented Generation, known as RAG,
