GigaChat vs GPT-4

Сбер presents a cutting-edge Russian-language neural network that ushers in a new era of digital interaction. This breakthrough technology, an exclusive product of Сбер, is an epitome of multimodality in the neural networking space. It is proficient in executing a plethora of tasks that range from engaging in dialogues with users, answering questions with precision, to crafting both texts and images from verbal descriptions. The neural network's broad spectrum of capabilities is accessible not only to businesses but also to developers seeking to amplify their applications with unprecedented intelligence.

Among its notable features is the GigaChat – a conversational agent that harnesses the power of this technology. It simulates human-like interactions and offers solutions to creative prompts such as scripting sequences for popular animations. Additionally, businesses can integrate Sber's AI assistants named 'Салют' into their frameworks to refine customer engagement and automate routine tasks.

GPT-4 is the latest milestone in OpenAI’s effort in scaling up deep learning.

GPT-4 is a large multimodal model (accepting image and text inputs, emitting text outputs) that, while less capable than humans in many real-world scenarios, exhibits human-level performance on various professional and academic benchmarks. For example, it passes a simulated bar exam with a score around the top 10% of test takers; in contrast, GPT-3.5’s score was around the bottom 10%. We’ve spent 6 months iteratively aligning GPT-4 using lessons from our adversarial testing program as well as ChatGPT, resulting in our best-ever results (though far from perfect) on factuality, steerability, and refusing to go outside of guardrails.

GPT-4 is more creative and collaborative than ever before. It can generate, edit, and iterate with users on creative and technical writing tasks, such as composing songs, writing screenplays, or learning a user’s writing style.