Generative AI, a subset of artificial intelligence, has recently been making waves in the tech world. This field creates algorithms and models for new content like text, images, music, or virtual worlds. In this blog post, we'll explore the latest exciting trends in GenAI, demonstrating how these innovations expand the possibilities of machine-produced creations.
One of the most significant developments in generative AI has been the advent of large language models like GPT-3 (Pre-trained Transformer 3). Developed by OpenAI, GPT-3 boasts 175 billion parameters, allowing it to make human-like text on various topics. GPT-3 has found applications in content creation, chatbots, and creative writing, developing new possibilities for automated content creation and natural language understanding.
StyleGAN, an extension of the Generative Adversarial Network (GAN) framework, has revolutionised computer-created imagery. StyleGAN allows for the creation of highly realistic and diverse synthetic images. Artists and designers leverage this technology to generate unique digital art, avatars, and hyper-realistic faces. This trend has implications not only for the creative industry but also for identity protection and privacy concerns.
Generative AI models are imbued with creativity by employing reinforcement learning, a subset of machine learning. Researchers are training agents to perform creative tasks, such as composing music, by rewarding them based on human feedback. This approach enables AI systems to evolve and refine their creative outputs, aligning them with human preferences.
