Overview

Claude 3 is a family of Large Language Models (LLMs) by Anthropic with vision capabilities. Provided in a chatbot format, Claude 3 models, at the time of release, were one of the highest ranking models in several LLM rankings and metrics, being able to reason, provide knowledge, solve problems, and write code at levels above OpenAI’s GPT-4 and Google’s Gemini 1.0 family of models.

Claude 3 comes in three versions: Opus, Sonnet, and Haiku. Opus is the largest and most capable, but also being the slowest and most expensive while Haiku was the fastest and most affordable, while having more limited capabilities, with Sonnet being a balance of the two models.

Check out Claude 3 Opus in action.

Performance

Claude Opus, compared to other wide-known models is slightly behind the industry as it is one of the worser models behind both Google, and Microsofts Gemini 1.5 Pro, and 4o models respectively. While its language metrics may be state of the art and rival even GPT4o, Opus still has a long way to go for its multimodal capabilities.

Click here to check out more tests on Claude 3 Opus.

Use This Model

Label Data Automatically with Anthropic Claude 3

You can automatically label a dataset using Anthropic Claude 3 with help from Autodistill, an open source package for training computer vision models. You can label a folder of images automatically with only a few lines of code. Below, see our tutorials that demonstrate how to use Anthropic Claude 3 to train a computer vision model.

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