Making Science, the digital acceleration company, launches Trust Generative AI, a Generative Artificial Intelligence platform that solves two main problems on systems such as OpenAI: the difficulty of accessing non-public company data, and the absence of updated information in generative models.
The launch comes as generative artificial intelligence, based on large language models such as GPT and Bard, aims to transform the way people work, elevating companies to new heights of automation and efficiency in marketing. A recent MIT study, where professionals used Chat GPT to write reports, press releases, and other business documents, achieved 50% cost savings in report writing and improved report quality.
Large language models like GPT-3 cannot access non-public company information and lack recent information. The GPT-4 model was trained with data up to September 2021 but hasn’t been updated since. “The availability of large language models and generative AI opens up a world of possibilities. Trust Generative AI creates a bridge between private and recent company data and large models generated with public information, facilitating the adoption of AI for marketing,” explains José Antonio Martínez Aguilar, CEO of Making Science.
Developed on Google Cloud Platform and OpenAI, the platform optimizes data cycles and the training of AI models. It validates answers obtained using models developed on Google Cloud Platform on private customer data and more recent data not available in models like GPT-3 and GPT-4.
Therefore, companies maintain complete control over their data and can generate less generic content, more aligned with their policies and style guides, optimized with up-to-date information.
An example of the efficiency of Generative AI is how Trust Generative AI generated 100,000 product descriptions for the Ventis.it website in minutes and at a cost more than 10,000 times lower than traditional means of generation. The generated descriptions were more than 95% aligned with other descriptions generated by the editorial department and were produced using prompts optimized by Trust Generative AI.
Trust Generative AI can also generate all types of content, such as call center conversations, FAQs or emails, images, and other entities, connecting to services such as Google Cloud’s Vertex Generative AI, DALL-E2, and Stable Diffusion.
In an environment of rapid technological change and uncertainty about the use of technology, it is crucial to develop tools that help build trust in the use of technology. Trust Generative AI aims to play this role.
No matter how you are looking to implement AI for marketing in your company, Making Science can help.