Discover how generative AI is revolutionising productivity by optimising everyday tasks, while underlining the importance of human engagement and data.
Generative AI is at the heart of business productivity, offering the promise of a personal collaborator to enhance daily operations. However, it's not magical; successful Generative AI projects hinge as much on human involvement as on data pipelines and AI techniques.
In a world where AI-generated content will proliferate, keeping humans in the driving seat is increasingly important. This requires that both employees and executives be trained and acculturated to the new technologies—a service we proudly deliver. At Smile, our vision is to deliver business-focused applications with real ROI, no fluff, and a strong human focus, all while ensuring compliance with ethical and regulatory standards.
Since 2018, we have developed our expertise in artificial intelligence, starting with Natural Language Processing (NLP) and voice assistants like Snips. We then expanded our know-how to chatbots, with solutions like Botfuel and Clevy, and then to computer vision through transfer learning with SageMaker (AWS), the Edge TPU Google Coral, and MobiNet models.
Today, with large language models (LLMs) such as GPT-3 and GPT-4 used by ChatGPT, we handle massive amounts of data to train the models, achieving spectacular results never seen before.
The initial excitement surrounding Generative AI is evolving into a more pragmatic approach. Companies are now realizing that capturing the full potential of Generative AI requires more than just enthusiasm; it demands substantial organizational and technological shifts. At Smile, we understand that true competitive advantage stems from building robust capabilities to innovate, deploy, and scale AI solutions effectively, integrating them seamlessly into the fabric of your business operations.
Our focus is on leveraging Generative AI to enhance productivity and enable generalization across various business functions. We are strong advocates of Open-Source as a viable alternative to major AI engine suppliers, while also recognizing the value in hybrid approaches that combine the best of both worlds.