Introducing AI Playground — LLM Battleground to Check Highly effective AI Fashions

This weblog submit focuses on new options and enhancements. For a complete listing, together with bug fixes, please see the launch notes.

AI Playground

We’re excited to introduce the brand new AI Playground, your interactive llm battleground to discover, take a look at, and construct with highly effective AI fashions. Whether or not you are a developer evaluating mannequin efficiency, a product supervisor prototyping options, or simply inquisitive about what a mannequin can do, the Playground provides you fast hands-on entry with none setup.

The Playground brings collectively a curated assortment of trending fashions throughout imaginative and prescient, language, and multimodal duties. A few of the fashions you may take a look at embody DeepSeek-R1-Distill-Qwen-7B, Llama 3.2, Qwen 2.5-VL, Gemma 3.0, and MiniCPM. You possibly can enter your personal knowledge, get real-time outputs, evaluate outcomes, and perceive how fashions behave — all from one clear, intuitive interface. We now assist streaming, so you may work together with language fashions as they generate outputs token by token, identical to in a chat.

To make the expertise much more developer-friendly, each mannequin within the Playground features a ready-to-use API code snippet. With a single click on, you may copy the code and begin integrating that mannequin straight into your personal AI apps. No have to dig by means of documentation or work out the suitable configuration. It’s obtainable immediately.

You too can deploy group fashions straight from the Playground to your personal devoted compute. This makes it straightforward to maneuver from experimentation to manufacturing with out leaving the interface.

We constructed the AI Playground to make it simpler to go from testing a mannequin to deploying it. You now not want to change instruments, write additional code, or arrange infrastructure simply to see how a mannequin works. This simplifies the method from exploration to deployment.

Labeling Duties

• We’ve upgraded the Labeling Duties UI to offer a smoother and extra constant expertise. This replace brings the duty labeling interface in keeping with our unified Enter Viewer part, making certain consistency throughout the platform and making it simpler for customers to navigate and label with confidence.

Platform Updates

Redesigned Homepage

• We launched a redesigned homepage that will help you get began with the Clarifai platform extra shortly

• Now you can simply uncover trending AI fashions, take a look at them within the playground, arrange your computing infrastructure, browse your apps, and extra — multi functional centralized place.

• You too can customise your homepage structure utilizing the “Configure Dwelling” button within the upper-right nook.
  

Made platform enhancements

• Launched a brand new Infrastructure Supervisor position, permitting customers to create, modify, and delete clusters and nodepools inside a company.
• Eliminated the automated app onboarding move for brand new customers upon signup. Apps are now not required for sure actions, reminiscent of making deployments with Compute Orchestration.
• We now mechanically fetch a person’s full identify after signing up with SSO by way of Google or GitHub, eliminating the necessity to manually enter it through the signup move.
• We improved the “Member Since” column within the group members listing desk. It now shows when a member joined the group, relatively than after they assumed their present position.
• We restricted entry to the group members listing to admins solely.

We’ve made numerous updates to the Management Middle to make it extra intuitive and simpler to navigate.

• Refined desk layouts for improved readability and readability.
• Launched a brand new multi-column tooltip for charts, enhancing knowledge visibility and readability.
• Fastened a colour inconsistency the place the tooltip card displayed an incorrect colour when hovering over chart parts. The tooltip now precisely displays the corresponding chart section colour.
• Fastened a difficulty the place the utilization dashboard didn’t accurately report prices for deleted fashions.

Further adjustments – Python SDK

We’ve made a number of enhancements to the Python SDK to enhance usability, and developer expertise:

• Eliminated HF loader config.json validation for all Clarifai mannequin sort IDs.
• Added regex patterns to filter checkpoint information for obtain.
• Applied validation for CLI configuration.
• Fastened Docker picture identify and launched the skip_dockerfile possibility within the test-locally subcommand of the Mannequin CLI.

Study extra right here in regards to the newest updates.

Prepared to begin constructing?