The realm of generative AI seems to be growing exponentially, with tech companies vying to develop their own AI-powered chatbots. Joining the race, Apple is reportedly working on its own artificial intelligence tools akin to ChatGPT, with the aim to challenge established players like OpenAI and Google.
According to a report by Bloomberg, Apple’s engineers have informally named the toolset “AppleGPT,” while its official name is “Ajax.” The company utilized Google’s JAX framework to construct its large language model (LLM). The move signals Apple’s intent to venture into the AI chatbot landscape, which has already seen significant advancements and contributions from various tech giants.
Apple’s Generative AI Initiative The report highlights that Apple has multiple teams working on the AI project, with one group focusing specifically on addressing potential privacy concerns. Despite this significant development, the exact purpose of the chatbot remains unclear. Apple has yet to outline specific use cases, launch dates, or platforms for Ajax. However, Bloomberg’s sources suggest that more information about the project will likely be revealed next year. Apple’s annual earnings call next month may also offer some insights into Ajax’s potential applications.
Apple’s AI Leadership The generative AI initiative at Apple is being spearheaded by John Giannandrea, the senior vice president of software engineering, along with Craig Federighi, who oversees Siri and its machine learning capabilities. Giannandrea’s expertise in managing Siri and machine learning hints at potential AI-powered enhancements for Apple’s digital assistant in the future.
Meta Introduces Llama 2 AI Model In related news, Meta (formerly known as Facebook) has unveiled Llama 2, the successor to its Llama AI model, with significant performance improvements over its predecessor. Llama 2 is part of a series of AI models that can generate text and code based on prompts, similar to other conversational AI systems.
Llama 2 can be utilized for research and business purposes for free and can be customized on various platforms such as AWS, Azure, and Hugging Face’s AI model hosting platform in its pre-trained form. However, access to Llama 2 was limited to some users, as Meta sought to control access to the models to prevent misuse.
Llama 2 comes in two forms: Llama 2 and Llama 2-Chat, the latter being fine-tuned for conversational exchanges. Both variants boast different levels of complexity, with parameters ranging from 7 billion to 70 billion, influencing the model’s text generation capabilities.
The race to develop advanced AI chatbots is gaining momentum, with companies like Apple and Meta striving to stay at the forefront of this rapidly evolving field. As these AI models become more sophisticated, we can anticipate innovative applications and features that will enhance user experiences across various platforms.
