> ## Documentation Index
> Fetch the complete documentation index at: https://docs.pawa-ai.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Finetuning (beta)

> Customize Pawa AI models to your domain, brand, and data. Train chat and voice models with your own datasets for more accurate, personalized outputs.

Finetuning lets you adapt **Pawa AI chat and voice models** with your own data, creating assistants and applications that reflect your **tone, terminology, and domain expertise**. This reduce cost and latency by using a small yet efficient fine-tuned domain focused model.

By providing curated examples, you can improve response style, accuracy, and consistency beyond what prompt engineering alone can achieve.

### Benefits of Fine-tuning

* Works significantly better than prompting
* Typically works better than a larger model (faster and cheaper because it doesn't require a very long prompt)
* Provides a better alignment with the task of interest because it has been specifically trained on these tasks
* Can be used to teach new facts and information to the model (such as advanced tools or complicated workflows)

## Available Models For finetuning.

**Chat Models**
Personalize conversational behavior, domain-specific Q\&A, or task-specific reasoning.

**Example**: Make a support bot respond in your brand’s tone or a tutor model explain math in Swahili.

* **Pawa Ember** → A smaller, faster small language model(SLM) designed for efficiency, real-time interaction, and lightweight deployments.
* **Pawa Blaze** → A powerful small language model (SLM) optimized for reasoning, complex generation, multimodal, tools understanding, agentic workflow, and advanced knowledge tasks.

**Voice Models**
Adapt speech synthesis to match accents, pronunciations, or specialized vocabulary.\
**Example**: Train a medical assistant to pronounce terms correctly or a local app to speak in regional dialects.

* **Pawa Text-to-Speech (TTS)** → Natural and expressive voice generation for conversational AI, narration, and accessibility.
* **Pawa Speech-to-Text (STT)** → Accurate and scalable speech recognition for transcriptions, voice commands, and real-time interaction.

***

## Use Cases

<div className="grid grid-cols-1 md:grid-cols-2 gap-4 my-6">
  <div className="rounded-xl border border-neutral-800 bg-neutral-900 p-4">
    <div className="text-lg">📚 <strong>Education</strong></div>
    <p className="text-neutral-300 text-sm mt-1">Fine-tune models to explain concepts in simple terms, local languages, or curriculum-specific styles.</p>
  </div>

  <div className="rounded-xl border border-neutral-800 bg-neutral-900 p-4">
    <div className="text-lg">💼 <strong>Enterprise Support</strong></div>
    <p className="text-neutral-300 text-sm mt-1">Customize responses to match company knowledge, policies, and preferred tone of voice.</p>
  </div>

  <div className="rounded-xl border border-neutral-800 bg-neutral-900 p-4">
    <div className="text-lg">🩺 <strong>Healthcare</strong></div>
    <p className="text-neutral-300 text-sm mt-1">Train models to handle medical vocabulary for reports, dictations, and patient interactions.</p>
  </div>

  <div className="rounded-xl border border-neutral-800 bg-neutral-900 p-4">
    <div className="text-lg">🎙️ <strong>Voice Applications</strong></div>
    <p className="text-neutral-300 text-sm mt-1">Adapt TTS models to better fit cultural pronunciation, product names, or personalized voices.</p>
  </div>
</div>

***

## Contact Us for Custom Fine-Tuning Solutions

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  <div className="text-xl mb-2"><strong>Get in Touch</strong></div>

  <p className="text-neutral-300 text-sm mb-4">
    Looking for tailored fine-tuning solutions with Pawa AI? Our team can help you build custom models
    designed for your unique workflows and data.
  </p>

  <a href="https://api.whatsapp.com/send/?phone=255688067709&text&type=phone_number&app_absent=0" className="inline-block rounded-lg px-4 py-2 text-sm font-medium text-white transition">
    Contact Us
  </a>
</div>