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Introduction: Klu is an all-in-one LLM application platform built for AI engineers and development teams to create, deploy, and optimize generative AI applications. It offers a suite of tools for collaborative prompt engineering, automated evaluation of model and prompt iterations, one-click model fine-tuning, and integration with diverse data sources and leading LLMs, including Claude, GPT-4, Llama 2, Mistral, and Cohere. Klu facilitates rapid development cycles, user preference analysis, and data curation to help businesses build custom AI experiences.
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Klu Product Information

What is Klu?

Klu is an all-in-one LLM application platform designed to help AI engineers and teams build, deploy, and optimize generative AI applications. It provides tools for collaborative prompt engineering, automatic evaluation of prompt and model changes, one-click fine-tuning of models, and seamless integration with various data sources (databases, files, sites) and best-in-class LLMs (Claude, GPT-4, Llama 2, Mistral, Cohere, etc.). Klu aims to enable rapid iteration, understand user preferences, and curate data for custom models, ultimately helping businesses create unique AI experiences and competitive moats.

How to use Klu?

Users can start for free to build and evaluate generative features. The platform allows teams to collaborate on prompts, prototype completions and workflows, track changes, and integrate into product development. It provides automatic evaluation of prompt and model changes, and enables one-click fine-tuning of models. For deployment, users can host models in their own cloud using the Klu Enterprise Container or utilize the self-hosted core platform.

Klu's Core Features

  • Collaborative prompt engineering (explore, save, prototype, track changes)
  • Automatic evaluation of prompt and model changes
  • 1-click fine-tuning of LLMs (GPT-4, Llama 2, Mistral, etc.)
  • Integration with various best-in-class LLMs (Claude, GPT-4, Llama 2, Mistral, Cohere, etc.)
  • Seamless data integration with databases, files, or sites
  • Rapid iteration with usage and system performance insights
  • Data curation for fine-tuning custom models
  • Klu Enterprise Container for private cloud deployment
  • Self-hosted core platform option
  • A/B Experiments, Change Versioning, Deploy Environments
  • Secure and portable data

Klu Use Cases

#1 Developing chatbots with seamless integration into platforms like WhatsApp.
#2 Addressing data privacy, regulatory compliance, and security concerns for enterprise clients adopting LLMs.
#3 Building AI features for products, such as automatic issue suggestions or feedback summarization.
#4 Creating unique AI experiences and performance through fine-tuning custom models.
#5 Personalizing software products for individual users to help them accomplish tasks faster.

FAQ from Klu

What types of LLMs can I use with Klu? +

Klu supports a wide range of LLMs, including Claude, GPT-4, Llama 2, Mistral 7b, Cohere, AI21, Anthropic, Google AI, Groq, OpenAI, Perplexity, and Together AI. It also offers integrations with AWS Bedrock, Azure AI, Cloudflare, GCP Vertex, and Hugging Face.

How does Klu help with data privacy and security? +

Klu ensures your data remains secure and portable. For enterprise clients, the Klu Enterprise Container allows you to build within your own cloud environment, and the self-hosted core platform ensures data never leaves your infrastructure, addressing concerns regarding data privacy, regulatory compliance, and security.

Can I fine-tune models with Klu? +

Yes, Klu offers one-click fine-tuning for models such as Davinci-002, GPT-3.5 Turbo, GPT-4, Llama 2, and Mistral, enabling you to train models on your own data to improve performance and create unique AI experiences.

Is there a free option to try Klu? +

Yes, you can start for free to build and evaluate your generative features. There is also a free trial for your first AI app and actions, and all plans include free GPT-4 Turbo runs for prototyping and evaluations.

Klu Pricing

Free

$0

Free plan available.

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