What Makes Claude 3.5 Sonnet The Best LLM for Developers

Anthropic is finally back on the radar of Generative AI technology, with its latest AI model release, Claude 3.5 Sonnet. It even outperforms Claude 3 Opus on a variety of speed and powerful evaluations. Several Developers explored its tremendous capabilities and shared them with the world.

The use cases shared by the developers show that it is excellent at web app deployment, generating images and animations, and also API integrations. These things make Claude 3.5 Sonnet the Best LLM made for Developers.

10 Amazing Capabilities of Claude 3.5 Sonnet

A lot of Developers worldwide have accessed the Claude 3.5 sonnet model and shared their mindblowing experiences with the advanced features and technicalities surrounding coding, debugging, deployment, and much more!

1) A Snake Game in React

The best thing about the Claude 3.5 Sonnet model is that it comes with an artifacts feature that allows it to run the codes on the right side of your screen and deploy whatever applications you are asking for instantly.

Take a look at this video, shared by an AI enthusiast and developer, where he asked the Claude 3.5 Sonnet model to develop a snake game using React. It amazes me how Claude instantly begins to code the game on the Artifacts screen just beside the chat.

Not only that, but it also runs the code to show the snake game in action. There’s even a button to restart the game! This is mindblowing from Claude 3.5 Sonnet, coding and deploying applications side by side in the chat!

2) A Fully Functional Mancala Web App

Here’s another AI enthusiast named Allie K. Miller, who shares her experience with Claude 3.5 Sonnet. Interestingly here she gave the image of instructions for a Mancala Web App game and asked Claude to deploy a web app based on those instructions.

Claude instantly got into action. It started coding the Web App and the whole coding process appeared in the Artifacts section, the most impressive feature of the Claude 3.5 Sonnet model.

The Web App was created and the link to it was provided on the chat interface. You can see the user playing the Mancala Web App game in the Artifacts section. However, what impressed me more was that the whole process took even less than a minute. Also, the graphics on the Web App were quite simple and appealing.

3) Fixing a Coding Error

While playing the Mancala game, the same user witnessed an error in the App and asked Claude 3.5 Sonnet to fix it. The LLM responded amazingly to this query and fixed whatever issues were present in the code.

It made changes to some of the important functions present in the code and made sure that the game was completely playable this time between the user and the computer.

It’s amazing how Claude 3.5 Sonnet can debug its code when prompted to do so!

4) Generating Diagrams with Animations

This use case completely made me in awe of Claude 3.5 Sonnet model. It’s not just Games and Web Apps it can code and generate. It can also generate diagrams for you from reference images and also provide life to them by adding animations to them.

In the prompt, you can see the user gives a normal image of a neural network pathway diagram. However, the image doesn’t seem correct and needs some changes and improvements.

Here’s where Claude impresses. Not only did it perfectly replicate the neural network model pathway but see the changes it did. It creates an animation to explain all three layers namely the Output, Hidden and Input layers. The animations show how the model operates and the nodes function in the network.

Such a great demonstration for better understanding and explanation. The artifacts feature is doing wonders already!

5) Drawing an SVG Image

Claude 3.5 Sonnet model can also draw SVG images in the artifacts section. Take a look at this prompt where the user asks for a unicorn image to be drawn in the SVG format.

The drawing generated by Claude 3.5 Sonnet model looks too good and well represented in the SVG format. It’s clear and well understandable.

Claude even explains the drawing’s features and asks if any further changes are needed. Quite well thinking and consideration from an AI model!

6) Playing Sounds

Claude 3.5 Sonnet’s Artifacts feature can also play sounds! Yes, you heard that right. However, the key aspect behind this was an Eleven Labs API which the Claude model was instructed to use.

The user asked for a Web App that uses Eleven Labs API to generate sound effects based on text prompts. Claude also delivered accordingly. It first coded the HTML, CSS, and Javascript parts in the artifacts section.

You can see how amazing sound effects were generated by the Web App. The user asked for an ocean breeze, and when the generated sound was played, I was mindblown! It even generated further sound effects like a dog barking, a rocket launch and also a video game celebration.

Apart from the sound effects, I’m also impressed at how Claude 3.5 Sonnet was able to utilize the Eleven Labs API with ease. It is only through third-party integrations, that top-notch web apps can be deployed. Anthropic indeed has crushed it with this one!

7) A three-js Space Simulation with Gravity

This use case is just beyond wonders. Claude 3.5 Sonnet just created a three-js space simulation with gravity in the artifacts section and the animation effects look insane.

The key thing behind this was the integration of the three.js package to the artifacts feature which highly empowered Claude 3.5 Sonnet model.

It’s amazing how it made the animation with the sun in the centre and the other celestial objects revolving around it. It grasped the concept of gravity quite well and made a perfect rotational animation.

It made quite a good use of Javascript functions to make the animation look more realistic and well-aligned. However, the graphics on the animations blew my mind even more.

8) Reasoning Capabilities

Claude 3.5 Sonnet Model has excellent reasoning capabilities as shown in this experiment below. The user began by uploading a complex chat showing the prices of the US Dollar, the S&P 500 Index, and Bank interest rates.

He first asked the model to write the index prices into a JSON file. It extracted the information from the image and created the file accurately. his initial step already showcased Claude’s impressive ability to handle complex tasks involving both vision and data extraction.

Next, he wanted a detailed correlation analysis and trading strategies based on the data he provided. Claude goes beyond simple forecasts and correlations.

It gives context, accepts deviations, and presents a sophisticated interpretation of intricate relationships.
Furthermore, the model does more than just find correlations; it also explains why those associations exist and the circumstances in which they might alter.

This shows Claude 3.5 Sonnet is quite capable of performing various aspects of Data Analysis such as Prediction, Forecasting, and also Manipulation. This is good news for Data Analysts who need to with a lot of data daily.

9) A Mario Clone Game

Here’s another impressive use case of the Claude 3.5 Sonnet model, where it makes a clone of a Mario Game using geometric shapes.

The user ran all the .py, HTML, and CSS files generated by the model, and the resultant application was exactly what the user asked for.

The application game mechanics were completely similar to that of the Mario clone game. The shapes also seemed like novel concepts.

Here I’m mainly impressed by two things, the game mechanics similar to Mario (the Mario jumping and the obstacles moving), and also the accuracy in the geometric shapes representing the objects.

Good signs of AGI from Claude 3.5 Sonnet and Maestro together.

10) A Map for a low Fantasy World

Here’s a use-case that throws light into Claude 3.5 Sonnet’s architectural and design capabilities. Here the user asked for a map-like representation of a low fantasy world, fallen from old high magic, with cultural & military considerations.

Claude 3.5 Sonnet did well in providing a map representation of the fantasy world fallen from old high magic. It also creates a mistport map and even provides a zoomed-in image of the map to show the floor and room layouts.

The last image also is quite impressive where you can see the trade routes image of the mistport in the fantasy world.

Claude even does well in explaining all the map images with full details and points, making it easier to comprehend and analyze. So the Sonnet 3.5 model is useful for even designers and architects looking to get a deep-insight view of possible builds and geographic views.

You can also test it yourself with these Claude 3 prompts to get an idea of how powerful it is.

Conclusion

Claude 3.5 Sonnet has amazing capabilities and is surely bringing a new era to the world of Generative AI models. Its strong technicalities and the amazing artifacts feature have placed it well ahead in the race for the number one LLM. The use cases shared by the Developers just give us an intro of how it will revolutionise the coding world!