#Multimodal AI

#Multimodal AI

Meta AI is enhancing photo editing and interaction capabilities, competing closely with Google and OpenAI.

Multimodal capabilities allow for photo sharing and inquiry-based interactions, enhancing user experience.

AI can edit images contextually, creating a dynamic way for users to interact with their photos. [ more ]

Molmo, an open source multimodal AI model, enhances accessibility for developers to create advanced AI agents that can perform useful tasks on computers. [ more ]

Mistral AI launched a free tier for developers to experiment with its AI models, aiming to attract more users and reduce costs. [ more ]

Generative AI is rapidly becoming integral across industries, evolving with new applications, while posing challenges around job displacement and the need for workforce adaptation. [ more ]

Gartner predicts that 40% of generative AI solutions will be multimodal by 2027, significantly increasing from just 1% in 2023. [ more ]

AI glasses market is diversifying with varying features and price points, emphasizing either innovation or affordability. [ more ]

Google has launched Gemini, a multimodal AI platform that can process and generate text, code, images, audio, and video from different data sources.

Gemini outperforms humans in multitasking language understanding (MMLU) and has scored over 90% on the evaluation system. [ more ]

Google introduces Gemini, its most advanced language model to date

Gemini is a multimodal AI that can understand and reason on various inputs [ more ]

Google has announced the AI model Gemini, which can process information in the form of text, audio, images, and video.

Gemini is described as a 'multimodal' model that can perform complex reasoning and combine information from different modalities. [ more ]