The AI development scene is about to get a makeover with Together AI’s introduction of Code Sandbox and Code Interpreter. These two new tools are aimed at making the lives of developers easier by providing advanced solutions for executing AI code in secure and scalable environments. So, let’s dive into what these tools have to offer and how they can revolutionize the way AI projects are handled.
Together Code Sandbox: Making Development a Breeze
Code Sandbox is all about giving developers the power to create customized microVM environments quickly. This means you can set up your development space just the way you like it, tailored specifically for AI work. The tool is backed by a strong infrastructure that can handle large deployments with ease, allowing for fast and scalable snapshotting. Plus, you get a bunch of development tools to help you stay in control of your projects.
Features like VM scaling and persistent storage make sure your development experience is smooth sailing. Companies like HeroUI have already seen the benefits of using Code Sandbox, cutting down on development time and boosting performance. It’s clear that this tool is a game-changer when it comes to efficiency in AI projects.
Together Code Interpreter: Keeping It Simple
If you’re looking for a straightforward way to execute Python code in secure environments, then Code Interpreter is the tool for you. This API lets you run your code in isolated environments, perfect for tasks like reinforcement learning. And the best part? It comes with a simple pricing model of $0.03 per session, making it a cost-effective choice for quick code evaluations.
Projects like Agentica have already hopped on the Code Interpreter bandwagon, using it to speed up their training cycles significantly. So, if you need to get things done quickly and efficiently, this tool has got your back.
Choosing Between Code Sandbox and Code Interpreter
While both tools share the same foundation, they cater to different needs. Code Sandbox is great for complex workflows that require customizable environments, while Code Interpreter is perfect for those quick session-based code executions. By comparing their features, developers can figure out which tool best suits their specific use cases.
In Conclusion
The launch of Code Sandbox and Code Interpreter marks a big step forward in tackling the challenges faced by developers when it comes to code execution. These tools empower developers to work on AI projects more efficiently, from training to scaling products. With quickstart guides and affordable pricing, Together AI is making it easier for developers to adopt these solutions and push the boundaries of AI development.
