Articles about multimodal AI

Google unveils Gemini 2.0 -- is it better than ChatGPT?

Google has finally unveiled Gemini 2.0, an evolution of its AI models designed to usher in a so-called “agentic era.” Sundar Pichai, CEO of Google and Alphabet, has described this as a major leap forward for AI, emphasizing the model’s advanced reasoning, multimodal capabilities, and its potential to revolutionize tools like Google Search, among others. While Google is making big promises, my own experience with Gemini has left me wondering if it’s really a match for the historically superior ChatGPT.

Gemini 2.0 builds on the successes of previous iterations, like Gemini 1.5, and aims to push boundaries with native image and audio output, text-to-speech capabilities, and native integration with tools like Google Search and coding functions. Google is pitching this as more than just an AI chatbot. The model is described as a foundation for creating AI agents capable of handling complex, multi-step tasks, from generating research reports to serving as a developer assistant. Projects like Astra, Mariner, and Jules further showcase Google’s ambition to embed AI into everyday workflows and beyond.

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OpenAI unveils GPT-4o mini, its most affordable and efficient AI model yet

OpenAI

OpenAI has released GPT-4o mini, a new AI model aimed at enhancing affordability and accessibility. Priced at 15 cents per million input tokens and 60 cents per million output tokens, GPT-4o mini represents a significant cost reduction compared to previous models like GPT-3.5 Turbo. The new model is more than 60 percent cheaper, making it an economical option for a wide range of applications.

GPT-4o mini is designed with a context window of 128K tokens and supports up to 16K output tokens per request. Currently, it is capable of handling text and vision tasks. Future updates will expand its capabilities to include text, image, video, and audio inputs and outputs.

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