LLM Finetuning Services
Go From Generic to Domain Specific. Hone Your Model with Azumo's LLM Finetuning Services
Unlock the full potential of large language models with specialized finetuning services from Azumo. Our development team transforms general-purpose AI into domain experts that understand your industry, speak your language, and deliver precisely the intelligence your applications need to excel.
What is LLM Finetuning
LLM Finetuning is the process of adapting pre-trained large language models to perform specific tasks or understand particular domains by training them on specialized datasets. This technique allows general-purpose language models to develop expertise in specific fields, industries, or use cases while retaining their foundational language understanding capabilities.
Finetuning a Large Language Model (LLM) involves a streamlined process designed to enhance your domain specific intelligent application. We ensure that every step is tailored to optimize performance and match your needs.
Domain-specific training on proprietary datasets for specialized expertise
Parameter-efficient finetuning techniques to minimize computational costs
Multi-task learning capabilities for versatile model performance
Model evaluation and validation frameworks for quality assurance
How we Help You:
Dataset Selection and Annotation
Select a dataset that aligns with your business tasks and annotate it to highlight critical features. This precision ensures that the model understands and generates responses relevant to your unique business environment and customer interactions.
Hyperparameter Optimization and Model Adaptation
Optimize hyperparameters to ensure effective learning without overfitting, and adapt the model’s architecture to suit the specific requirements of your tasks. These steps guarantee that the model performs optimally, handling your data with enhanced accuracy and efficiency.
Customize Loss Functions and Training
Tailor the loss function to focus on metrics that matter most, ensuring the model’s outputs meet your operational goals. Train the model using your annotated dataset, with continuous adjustments and validations to refine its capabilities and performance.
Early Stopping and Learning Rate Adjustments
Implement early stopping to conserve resources and maximize training efficiency, and adjust the learning rate throughout the training phase to fine-tune model responses, ensuring continual improvement in performance.
Thorough Post-Training Evaluation
Evaluate the model extensively after training using both qualitative and quantitative methods, such as separate test sets and live scenario testing. This thorough assessment ensures the model meets your exact standards and operational needs.
Continuous Model Refinement
Use evaluation insights and real-world application feedback to refine the model to maintain its relevance and effectiveness. This ongoing optimization process ensures that your model adapts to new challenges and data, continually enhancing its utility.
Finetuning a Large Language Model (LLM) involves a streamlined process designed to enhance your domain specific intelligent application. We ensure that every step is tailored to optimize performance and match your needs.
Custom Data Preparation
We start by curating and annotating a dataset that closely aligns with your business context, ensuring the model trains on highly relevant examples.
Expert Model Adjustments
Our experts optimize the model's architecture and hyperparameters specifically for your use case, enhancing its ability to process and analyze your unique data effectively.
Targeted Training and Validation
The model undergoes rigorous training with continuous monitoring and adjustments, followed by a thorough validation phase to guarantee peak performance and accuracy.
Deployment and Ongoing Optimization
Integrate your domain specific model and continuously optimize it for new data. A process for continued refinement ensures long-term success and adaptability.
Our AI Development Service Models
We offer flexible engagement options tailored to your AI development goals. Whether you need a single AI developer, a full nearshore team, or senior-level technical leadership, our AI development services scale with your business quickly, reliably, and on your terms.
Requirements Discovery
De-risk your AI initiative from the start. Our Discovery engagement aligns business objectives, tech feasibility, and data readiness so you avoid costly rework later.
POC and MVP Development
Prove value fast. We build targeted Proofs of Concept and MVPs to validate AI models, test integrations, and demonstrate ROI without committing to full-scale development.
Custom AI Development
End-to-end AI development tailored to your environment. We handle model training, system integration, and production deployment backed by top AI engineers.
AI Development Staffing
Access top-tier AI developers to fill capability gaps fast. Our vetted engineers plug into your team and stack, helping you meet delivery goals without compromising quality or velocity.

Dedicated AI Development Team
Build an embedded AI Development team that works exclusively for you. We provide aligned, full-time engineers who integrate with your workflows and own delivery.
Virtual CTO Services
Our Virtual CTO guides your AI development strategy, ensures scalable architecture, aligns teams, and helps you make informed build-or-buy decisions that accelerate delivery.
LLM Fine Tuning
Build
Start with a foundational model tailored to your industry and data, setting the groundwork for specialized tasks.
Tune
Adjust your AI for specific applications like customer support, content generation, or risk analysis to achieve precise performance.
Refine
Iterate on your model, continuously enhancing its performance with new data to keep it relevant and effective.
Consult
Work directly with our experts to understand how fine-tuning can solve your unique challenges and make AI work for your business.
With Azumo You Can . . .
Get Targeted Results
Fine-tune models specifically for your data and requirements
Access AI Expertise
Consult with experts who have been working in AI since 2016
Maintain Data Privacy
Fine-tune securely and privately with SOC 2 compliance
Have Transparent Pricing
Pay for the time you need and not a minute more
Our finetuning service for LLMs and Gen AI is designed to meet the needs of large, high-performing models without the hassle and expense of traditional AI development
Our Client Work in AI Development
Our Nearshore Custom Software Development Services focuses on developing cost-effective custom solutions that align to your requirements and timeline.

Web Application Development. Designed and developed backend tooling.

Developed Generative AI Voice Assistant for Gaming. Built Standalone AI model (NLP)

Designed, Developed, and Deployed Automated Knowledge Discovery Engine

Backend Architectural Design. Data Engineering and Application Development

Application Development and Design. Deployment and Management.

Data Engineering. Custom Development. Computer Vision: Super Resolution
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Designed and Developed Semantic Search Using GPT-2.0

Designed and Developed LiveOps and Customer Care Solution

Designed Developed AI Based Operational Management Platform
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Build Automated Proposal Generation. Streamline RFP responses using Public and Internal Data

AI Driven Anomaly Detection

Designed, Developed and Deployed Private Social Media App
Enhance your AI capabilities with Azumo’s LLM fine-tuning services. Our experts customize large language models to your specific needs, ensuring optimal performance and seamless deployment. Partner with us to unlock your AI’s full potential
Improved Model Performance
Fine tuning AI models for specific tasks leads to more accurate outputs, ensuring higher efficacy and relevance to your unique requirements.
Optimized Compute Costs
By fine tuning LLMs specifically for your use case, you can significantly reduce computational costs for both training and inference, achieving efficiency and cost-effectiveness.
Reduced Development Time
LLM fine tuning from the outset allows you to establish the most effective techniques early on, minimizing the need for later pivots and iterations, thus accelerating development cycles.
Faster Deployment
With LLM fine tuning, models are more aligned with your application’s needs, enabling quicker deployment and earlier access for users, speeding up time-to-market.
Increased Model Interpretability
By choosing a fine tuning approach that is appropriate for your application, you can maintain or even enhance the interpretability of the model, making it easier to understand and explain its decisions.
Reliable Deployment
LLM fine tuning helps ensure that the model not only fits the functional requirements but also adheres to size and computational constraints, facilitating easier and more reliable deployment to production environments.
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