Google's acquisition of the AI startup Character.AI and the return of its former CEO Noam Shazeer as co-technical lead for the Gemini project demonstrate its ambitions in the field of artificial intelligence. Shazeer will collaborate with experts like Jeff Dean and Oriol Vinyals to ensure that the Gemini project maintains an edge in competition with ChatGPT. This acquisition not only strengthens Google's AI research team but could also enhance AI conversational capabilities.

Apple Inc. is in internal talks to integrate Google's next-generation generative AI system, Gemini, into iPhone software, which could lead to significant changes in the AI field. Sources say that Apple and Google are actively negotiating the details of licensing Gemini to provide some AI-driven features for this year's new iPhone. Gemini may be integrated into iPhone applications such as Siri and the camera app, significantly enhancing the interactive and creative experience of AI. Apple is also in discussions with OpenAI regarding the use of its generative technology.

Google Bard announced a global update today, expanding the Gemini Pro large language model capabilities to 40 languages and adding an image generation feature. This update is a significant step in Bard's development, making it easier to use and more competitive. Gemini Pro is Google's most advanced LLM to date. Bard ranks second in the Chatbots Arena leaderboard.

Samsung grandly launched the latest Galaxy S24 series smartphones in San Jose, California, packed with AI features. Netizens have reported that despite the abundance of AI features in Samsung's new flagship, many functionalities are poorly executed. The Circle to Search feature allows Samsung to 'summon' and draw a circle around interesting items on any interface, and the AI will consolidate all related information. The Galaxy S24 series is the first smartphone equipped with Gemini Pro and Imagen2.

Gemini Pro excels in common sense reasoning tasks, and research from Stanford and Meta suggests that Gemini is underrated. Researchers designed a new test set and found that Gemini's performance in complex reasoning tasks is significantly stronger than before. The evaluation includes 11 language-based datasets and one multimodal dataset, showing that Gemini Pro is on par with GPT-3.5. While GPT-4Turbo leads in overall performance, Gemini Pro slightly outperforms in specific tasks. Inference experiments demonstrate that Gem

Google introduces Gemini Pro, the best model for text and image inference tasks in Android applications. Prototype and run prompts using Google AI Studio, and export the model as code. Android applications can access the Gemini model through the Google AI Client SDK. Gemini also offers multimodal models and a smaller version, Gemini Nano. Gemini Nano can run on-device, ensuring predictable latency and data security for offline applications.

Google is showcasing its most powerful large language model, Gemini, through an API for businesses and developers. This model comes in three specifications: Ultra, Pro, and Nano, and is available for use through Google Cloud's Vertex AI platform. The Gemini Pro API is currently free, but is limited to 60 queries per minute. Google has published the pricing for Gemini Pro: $0.00025 per thousand characters, $0.0025 per image, and outputs at $0.000 per thousand characters.

The Google Gemini Pro large model is available to developers and businesses. Gemini Pro features a 32K context window and generative capabilities, supporting 38 languages and providing various SDKs and Google AI Studio to help developers build applications. Users can access Gemini Pro and Gemini Pro Vision for free. Google will launch a more powerful model, Gemini Ultra, and introduce more developers.

Google has released the Gemini Pro large language model, making Bard smarter. Gemini Pro surpasses GPT-3.5, and users can experience Bard powered by Gemini Pro for free. Google plans to launch Bard Advanced, which will support multimodal input.