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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.

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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)

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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.

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Use Cases

📚 Education

Fine-tune models to explain concepts in simple terms, local languages, or curriculum-specific styles.

💼 Enterprise Support

Customize responses to match company knowledge, policies, and preferred tone of voice.

🩺 Healthcare

Train models to handle medical vocabulary for reports, dictations, and patient interactions.

🎙️ Voice Applications

Adapt TTS models to better fit cultural pronunciation, product names, or personalized voices.

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Contact Us for Custom Fine-Tuning Solutions

Get in Touch

Looking for tailored fine-tuning solutions with Pawa AI? Our team can help you build custom models designed for your unique workflows and data.

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