Introducing AI Playground — LLM Battleground to Take a look at Highly effective AI Fashions

This weblog submit focuses on new options and enhancements. For a complete checklist, 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 offers you speedy 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 number 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’ll be able to enter your personal information, get real-time outputs, examine outcomes, and perceive how fashions behave — all from one clear, intuitive interface. We now help streaming, so you may work together with language fashions as they generate outputs token by token, similar 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 must dig by documentation or work out the appropriate configuration. It’s out there immediately.

You may also deploy neighborhood 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 modify instruments, write further 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 supply a smoother and extra constant expertise. This replace brings the duty labeling interface in step 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 can assist you get began with the Clarifai platform extra rapidly

• 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 function centralized place.

• You may also customise your homepage format utilizing the “Configure Dwelling” button within the upper-right nook.
  

Made platform enhancements

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

We’ve made loads of updates to the Management Heart 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 information visibility and readability.
• Fastened a coloration inconsistency the place the tooltip card displayed an incorrect coloration when hovering over chart components. The tooltip now precisely displays the corresponding chart phase coloration.
• Fastened a problem the place the utilization dashboard did not accurately report prices for deleted fashions.

Extra modifications – 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 choice within the test-locally subcommand of the Mannequin CLI.

Be taught extra right here in regards to the newest updates.

Prepared to begin constructing?