This blog post explores how to leverage Amazon Redshift and Amazon Bedrock to build generative AI chatbots using prompt engineering techniques. The example use case demonstrates a personalized travel itinerary planner that utilizes user data stored in Redshift to craft customized recommendations. READ ARTICLE
OpenAI has published a guide to Prompt Engineering, which offers six strategies for getting better responses from their GPT language models, particularly GPT-4. READ ARTICLE
Prompt engineering is the art of crafting inputs that guide AI models to produce desired outputs. It plays a crucial role in shaping how AI models understand and respond to human queries, ultimately determining the effectiveness and user experience of AI applications. READ ARTICLE
Researchers from Microsoft and Peking University are developing a training environment called AndroidArena to study how large language models like GPT-4 can interact with and control operating systems autonomously. READ ARTICLE
There are many AI softwares available, but the most useful ones based on experience are GPT-4 (including ChatGPT Plus), MidJourney for image generation, and Opus for video. Website builders like Shopify and Webflow are better than AI sites, and automation tools like Zapier are top for connecting apps. Summary The…
Key Takeaway Large language models like chatbots will evolve from just answering questions to becoming virtual agents capable of performing actions on your computer, essentially becoming AI coworkers that can help automate tasks. READ MORE