{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"Embracing Digital Transformation","title":"#171 Generative AI in Public Sector","html":"","width":"100%","height":180,"duration":1905,"description":"In this episode Darren talks about Generative AI and its practice usages. Generative AI is exploding with new capabilities like creating text, images, video and audio. However, there are risks like bias, accountability and data leakage that need to be addressed. Introduction to Generative AIGenerative AI is a technique used in artificial intelligence that can analyze existing content like text, images, or audio and generate new, original content from it. Large language models like ChatGPT have made it easier for developers to create generative text-based applications. These models are pre-trained on massive amounts of data and can generate human-like responses to text prompts.In the past year, we have seen incredible advancements in the use of generative AI technology. This includes chatbots that can carry out complex conversations, language translation tools that can translate text between different languages in real-time, and even the creation of entirely new pieces of art. The possibilities are endless, and we can expect to see even more exciting use cases emerge as generative AI continues to evolve. Key Abilities and Use CasesGenerating content from other content will continue expanding into areas like video, audio and 3D environments. By combining different generative AI models, new solutions can be built rapidly. Text to TextText-to-text technology has become increasingly popular in recent years due to its versatility and usefulness. It has a wide range of applications, including creating marketing content by generating catchy slogans and taglines, summarizing lengthy documents into a few key points, translating material into different languages, and improving overall communication between individuals and organizations. Additionally, text-to-text AI algorithms can also evaluate the quality of written content such as essays, providing feedback on grammar, spelling, and structure. With all these practical uses, it's no wonder that text-to-text technology has...","thumbnail_url":"https://img.transistorcdn.com/IRrW2aizIeoZDn3gKLEax-JYQ8V_WzaFpHdgsslDx3k/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9jM2Ji/MDk1OTdiYzA4ZWMw/NWNlOTY0N2RhMWQ3/YmY5Mi5wbmc.webp","thumbnail_width":300,"thumbnail_height":300}