Generative AI is the Future of Technology
Generative AI, also known as generative artificial intelligence, refers to advanced deep-learning models capable of generating diverse content, including text, images, and more. These models create content based on patterns and information gleaned from the data on which they were trained. This transformative technology has evolved rapidly in recent years, offering applications in various domains. Generative AI Overview: Evolution of Generative AI Models Generative AI models have their roots in statistics and the analysis of numerical data. The advent of deep learning expanded their capabilities to handle complex data types like images and speech. Variational autoencoders (VAEs), introduced in 2013, marked a significant milestone in the development of generative models. They were among the first deep-learning models used for realistic image and speech generation, setting the stage for future advancements. Types of Language Transformers Language transformers, a key category of generative models, can be categorized into three main types: Supervised Learning in Generative AI Recent advancements in generative AI involve a resurgence of human supervision to improve model performance. Instruction-tuning, as seen in Google’s FLAN models, enables models to interact more effectively by pairing instructions with responses. This method allows models to provide human-like answers and perform tasks without the need for extensive labeled data. Future Directions in Generative AI There are several trends and factors that will affect generative AI in the future: Challenges and Considerations While generative AI offers substantial potential, it presents challenges, including issues related to: How EACOMM Can Help EACOMM Corporation is leveraging the power of generative AI in its current and future projects. Completed and current projects using generative AI include: EACOMM utilizes a suite of generative AI tools from Google, OpenAI, IBM, as well as open-source sources, to provide comprehensive solutions to our clients. To cater for enterprises, EACOMM has partnered with IBM to offer watsonx.ai, watsonx.data, and watsonx.governance in the Philippine market. Watsonx includes a studio for new foundation models, generative AI, and machine learning; a fit-for-purpose data store built on an open data lakehouse architecture; and a toolkit to accelerate AI workflows that are built with responsibility, transparency, and explainability. Incorporate generative AI into your business application systems and prepare your organization for the next industrial revolution. Contact EACOMM Corporation today!