Making Science, a digital acceleration company, has launched Trust Generative AI, an AI generative platform that utilizes OpenAI and Stable Diffusion technology to ensure secure AI-generated content that is validated and optimized. The platform breaks two major challenges facing users of OpenAI and other similar systems: the lack of first-party data and real-time information.
Generative Artificial Intelligence (AI), based on large language models like GPT and Bar, is transforming how people work, leading to greater automation and productivity. But despite potential improvements, the latest research shows that only 15% of UK businesses have adopted at least one AI technology. This means a majority of businesses are missing out on the advantages of AI, especially Generative AI, which could give them an edge in a competitive market.
Making Science’s CEO, Jose Antonio Martinez Aguilar, has expressed his view on this development, saying, “Access to more efficient generative artificial intelligence offers companies a world of possibilities that would have seemed impossible only a couple of years ago. With Trust Generative AI, organizations can get the results from data that is both private and timely, plus large language models made from publicly available information. This platform can help them overcome challenges and encourage the adoption of Generative AI.”
The effectiveness of the Trust Generative AI platform was recently shown by Italian marketplace Ventis.it, who was able to generate 100,000 product descriptions in minutes. Compared to manually generating the descriptions, the AI-tool was able to save the company ten thousandfold in costs. These descriptions were also 95% more aligned to the company’s desired creative output than using alternative AI-tools.
Not only that, but the platform can also be used to generate a wide range of content such as customer service conversations, FAQs, emails, and images, and connect to services like Google Cloud’s Vertex Generative AI, DALL-E2, and Stable Diffusion. Trust Generative AI optimizes both data cycles and AI model training, allowing companies to regain full control of their data. They can also produce less generic content, better aligned with their policies and guidelines, and more up-to-date information than what is available in GPT-3 and GPT-4 language models.
In order to develop confidence and ensure trust among users, Trust Generative AI is designed to provide efficient and trustworthy AI. With its help, companies can stay ahead of the rapidly growing and ever-changing technological landscape.
José Antonio MartÃnez Aguilar, the CEO of Making Science, is a strategic leader with an impressive history of success. He is responsible for the development and implementation of Trust Generative AI and the immense growth of the company. His leadership has been successful in making his company one of the leading digital accelerators in the market.
