Generative Artificial Intelligence (generative AI) is a rapidly evolving field within the realm of artificial intelligence. It is revolutionizing industries across the globe by utilizing deep learning and neural networks to create new and original data, such as text, images, […]
Generative Artificial Intelligence (generative AI) is a rapidly evolving field within the realm of artificial intelligence. It is revolutionizing industries across the globe by utilizing deep learning and neural networks to create new and original data, such as text, images, and audio. The adoption of generative AI is happening in different frameworks, with various implementation models, datasets, and domain-specific specifications.
In this analytical overview, we delve into the concept of power law gen AI, which provides insights into the adoption patterns within industries and organizations worldwide. We present new survey data from Enterprise Technology Research, focusing on the adoption and consideration of various vendors, particularly in the emerging technology sector. Some notable vendors include Hugging Face, Anthropic, Cohere, and Jasper.
Additionally, we discuss the adoption of Meta’s Llama 2 platform and the potential impact of open-source and third-party contributions on the shaping of the adoption curve. Furthermore, we share our financial projections of Microsoft Azure’s impact on AI, which is anticipated to reach $2 billion annually by the end of 2023.
To provide a comprehensive understanding of generative AI adoption, we analyze the impact of retrieve augmented generation (RAG) through real-life examples, accompanied by practical implementation considerations for industry practitioners.
Frequently Asked Questions (FAQ)
1. What is generative artificial intelligence?
Generative AI is a field within artificial intelligence that focuses on creating new data, such as texts, images, or sound, based on existing datasets. This technology utilizes deep learning and neural networks to generate original content that can closely resemble human-generated data.
2. What is power law gen AI?
Power law gen AI is a concept that describes the adoption patterns of generative AI within industries and organizations. According to this concept, a few major players will dominate the field of generative AI, while a majority of applied models will be smaller, resulting in a “long tail” of domain-specific variations. This concept also takes into account the influence of third-party contributions and open-source models in the market.
3. What are the potential applications of generative artificial intelligence?
Generative AI has a wide range of applications across various industries. Here are a few examples:
– Text generation for article writing or creating original songs
– Creation of new images or designs for marketing and creative industries
– Development of virtual assistants and chatbots with natural language understanding
– Enhanced data analysis and trend prediction