
What is Klu.ai Public Beta
Klu is a next-generation LLM App Platform designed to help teams confidently iterate and evaluate their AI applications. It provides tools for collaborative prompt engineering, model evaluation, and optimization, enabling users to build and fine-tune GPT-4-powered apps. Klu supports a variety of best-in-class LLMs, including OpenAI, Anthropic, Azure OpenAI, and GCP Vertex, with additional support for Llama 2 and Mistral 7b on Cloudflare and Replicate.
How to Use Klu.ai Public Beta
- Collaborative Prompt Engineering: Explore, save, and collaborate with your team on prompts, completions, and workflows.
- Evaluate and Optimize: Automatically evaluate prompt and model changes to ensure optimal performance.
- Fine-Tuning: Curate your best data for fine-tuning custom models to create unique experiences.
- Deploy and Scale: Use Klu Enterprise Container to deploy models in your cloud, ensuring data security and scalability.
Use Cases of Klu.ai Public Beta
Klu is ideal for AI teams looking to rapidly iterate on LLM-powered applications. It is particularly useful for:
- Collaborative Development: Teams can work together on prompt engineering and model evaluation.
- Fine-Tuning: Users can fine-tune models like GPT-4, Llama 2, and Mistral to create domain-specific solutions.
- Enterprise Deployment: Klu Enterprise Container allows for secure, private deployment of AI systems in the cloud.
Features of Klu.ai Public Beta
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Collaborative Prompt Engineering
Teams can explore, save, and collaborate on prompts, completions, and workflows, integrating these into their product development process.
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Model Evaluation and Optimization
Automatically evaluate and optimize prompt and model changes to ensure the best performance for your AI applications.
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Fine-Tuning Custom Models
Curate your best data to fine-tune models like GPT-4, Llama 2, and Mistral, creating unique and domain-specific AI solutions.
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Enterprise Deployment
Deploy models securely in your cloud using Klu Enterprise Container, ensuring data privacy and scalability.