7 Must-Know Use Cases of Claude 3.5 Sonnet

Anthropic’s Claude 3.5 Sonnet, the first in the Claude 3.5 model family, recently outperformed OpenAI’s GPT-4o, Google Gemini 1.5 Pro, and its predecessor, Claude 3 Opus.

The new model outperforms Claude 3 Opus in vision tasks and visual reasoning, such as interpreting charts and graphs. It accurately transcribes text from imperfect images, benefiting industries like retail, logistics, and financial services.

The model is available for free on claude.ai and the Claude iOS app, with higher rate limits for Claude Pro and Team Plan subscribers. It can also be accessed via the Anthropic API, Amazon Bedrock, and Google Cloud’s Vertex AI, priced at $3 per million input tokens and $15 per million output tokens.

Additionally, Anthropic introduced a new feature that enhances user interaction by generating content like code snippets, text documents, or website designs. This allows users to view, edit, and build upon Claude’s creations in real-time, seamlessly integrating AI-generated content into their projects and workflows.

Here are seven interesting use cases of Claude 3.5 Sonnet.

Create Interactive Dashboard From Earnings Report in 30 Sec

Claude Sonnet 3.5 revolutionises traditional PDF earnings reports by seamlessly converting them into interactive dashboards in a mere 30 seconds. This innovation surpasses the capabilities of established LLMs like GPT-4o, Gemini Pro, and Llama, offering unparalleled efficiency and user-friendly interface.

The integration of such advanced AI technologies signifies a transformative leap in enhancing productivity, suggesting a future where AI could potentially amplify workplace efficiency by tenfold.

Become Game Developer

With Artifacts, a remarkably powerful yet incredibly user-friendly tool, one can effortlessly create a fully functional backgammon app for Claude Sonnet in under 3.5 minutes, complete with coding, testing, and clear explanations.

When compared to other “no-code” game development tools, Artifacts stood out for its simplicity and effectiveness. It has the potential to unleash a surge of creativity, enabling everyone to pursue their most impactful work, whether technically inclined or not.

Get Business Insights From Excel of Startup’s Finances

For instance, Claude 3.5 is given an Excel file containing financial data for a startup, and requested to create a dashboard that shows how the startup’s finances might change based on different scenarios. This includes testing how sensitive the outcomes are to certain assumptions (like sales growth or costs).

To do this, Claude 3.5 uses a Monte Carlo simulation (a method of running a thousand simulations using random values). This helps predict potential financial results and risks more accurately.

Create 1-Click AI SEO Tool

To rank on Google, use Claude 3.5 Sonnet and find low-competition, long-tail keywords. Verify them with Google autocomplete and Ahrefs. Study top competitors, then use Claude to extract key elements from their content.

Create high-quality, relevant content that serves readers and search algorithms. Focus on keywords with search volume but avoid highly competitive terms.

Quickly Illustrate Concepts

The Claude 3.5 Artifacts is tremendously useful for educational applications. For instance, it can effectively illustrate concepts like economies of scale. While GPT-4 can also be used, its interaction is complex.

For instance, one can use Claude 3.5 to learn about integrals, and its Artifacts provides illustrations that can greatly aid understanding.

Create Interactive Prompt Engineering Cheat Sheet

Claude 3.5 Sonnet can quickly turn simple documents into interactive learning tools. In just 30 seconds, it transforms a basic prompting guide into a useful prompt engineering cheat sheet.

This makes it possible to convert any PDF or static document into interactive educational content almost instantly, changing the way we create and use learning materials.

Create 3D Simulation From Picture to Explain Concept

Give Claude 3.5 the bomber-with-bullet-holes picture and ask it to create a 3D simulation. It will explain the whole concept.

In another example, one managed to significantly improve their coding skills with a large language model (LLM). In just 30 minutes, they used the LLM to write code for a 3D simulation of balls bouncing inside a cube, using a tool or framework called Sonnet Artifacts.

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