Your complete AI solution

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    Use your custom business data - use RAG

    Retrieve, Augment, and Generate (RAG) leverages your unique business data to enhance the accuracy and relevance of AI-generated outputs, providing more tailored and insightful results for your specific needs.
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    Privacy - your own private api with custom model

    Open-source Large Language Models (LLMs) present a cost-effective alternative to their proprietary counterparts, offering organizations a financially viable means to harness AI capabilities.

    - No licensing fees are required, significantly lowering initial and ongoing expenses.
    - Organizations can freely deploy these models, leading to direct cost reductions.
    - Open large language models allow for specific customization, enhancing efficiency without the need for vendor-specific customization services.
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    Agents - create agentic flow where actions are paired with AI models

    We can think of agents as enabling “tools” for LLMs. Like how a human would use a calculator for maths or perform a Google search for information — agents allow an LLM to do the same thing. Agents are LLMs that can use tools like calculators, search, or executing code.
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Technologies

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Improved Performance

Businesses can significantly enhance their performance by training the models on domain-specific data. Customization ensures the model understands and responds to industry-specific language patterns, resulting in higher accuracy and relevance for a given task.

Enhanced Vocabulary

Customization allows businesses to incorporate industry-specific terms and acronyms into the models' vocabulary. This ensures the accurate processing of complex language and improves the model's ability to understand specialized texts.

Tailored Outputs

Customized models can be fine-tuned to generate outputs that align better with specific requirements. Whether adjusting the tone, voice, or style of generated text, customization empowers businesses to achieve desired results that resonate with their target audience.