LLM Optimization Service

Need to optimize your LLM for production? Improve LLM reliability and robustness through our optimization process. We identify and mitigate risks to ensure model stability.

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100%

Job Success on Upwork

97%

Customer
Satisfaction

60+

Completed
projects

20+

Successfully Funded Startups

What clients say

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5.0
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Their developers were engaged in our project and came to us with ideas to improve the technical part of the project.

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CTO at Glucose Monitoring Startup

5.0
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5.0
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We were impressed the most by the willingness and ability of the OmiSoft team to suggest the development decisions that turned out to be very successful. They showed that they were interested in making the best product possible.

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Halyna Vozna ln

COO of Aurora Gaming

5.0
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5.0
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Their developers were engaged in our project and came to us with ideas to improve the technical part of the project.

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Ed Nazarenko

COO of the Uppeople School

5.0
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Full-Cycle Artificial Intelligence Development Services

What we do?

  • 01

    Custom LLM Fine-Tuning

    Tailoring pre-trained models to specific industries or tasks using domain-specific data and use cases to improve accuracy and relevance.

  • 02

    Performance Optimization

    Increase the efficiency and speed of LLM by improving algorithms, optimizing model architecture, and implementing advanced techniques such as quantization or distillation.

  • 03

    Scalability Solutions

    Designing and implementing a scalable infrastructure to support LLM deployments, ensuring that they can handle large volumes of queries and data without degrading performance.

  • 04

    LLM Integration Services

    acilitate the seamless integration of LLM into existing systems and workflows, including APIs, databases, and user interfaces, to maximize their utility and impact.

  • 05

    Ethical and Bias Mitigation

    Implement strategies and methodologies to identify and reduce bias in LLMs, ensure ethical use, and comply with industry standards and regulations.

autotab1
01

Custom LLM Fine-Tuning

Tailoring pre-trained models to specific industries or tasks using domain-specific data and use cases to improve accuracy and relevance.

autotab2
02

Performance Optimization

Increase the efficiency and speed of LLM by improving algorithms, optimizing model architecture, and implementing advanced techniques such as quantization or distillation.

autotab3
03

Scalability Solutions

Designing and implementing a scalable infrastructure to support LLM deployments, ensuring that they can handle large volumes of queries and data without degrading performance.

autotab4
04

LLM Integration Services

acilitate the seamless integration of LLM into existing systems and workflows, including APIs, databases, and user interfaces, to maximize their utility and impact.

autotab5
05

Ethical and Bias Mitigation

Implement strategies and methodologies to identify and reduce bias in LLMs, ensure ethical use, and comply with industry standards and regulations.

Our AI Development
Technologies

Tech stack

ChatGPT_logo

OpenAI SDK

aws

AWS AI Cloud Services

Azure AI Services

Azure AI Services

Google AI Services

Google AI Services

Industries we work in

Our team expertise

Health & fitness

E-Health

E-Health

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Blockchain

Blockchain

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E-commerce

E-commerce

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Gaming

Gaming

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Cryptocurrencies

Cryptocurrencies

Lifestyle

Travel and hospitality

Travel and hospitality

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FAQ

Frequently asked questions

What is LLM optimization service?

LLM optimization involves fine-tuning large language models to improve performance, efficiency, and alignment with specific tasks or domains. It's crucial for maximizing the value of LLMs by enhancing accuracy, reducing costs, and mitigating biases.

How do you approach LLM optimization projects?

Our process begins with a thorough understanding of your LLM and its intended use cases. We then conduct a comprehensive evaluation, identify optimization opportunities, and implement tailored strategies. Our approach emphasizes data-driven insights and continuous improvement.

How do you ensure the ethical development of optimized LLMs?

We prioritize ethical considerations throughout the optimization process. This includes bias detection and mitigation, fairness evaluation, and adherence to responsible AI guidelines. Our goal is to develop LLMs that are beneficial and safe for all users.

What metrics do you use to measure LLM performance?

We employ a range of metrics to assess LLM performance, including accuracy, speed, cost, and fairness. These metrics help us track progress and demonstrate the impact of our optimization efforts.

What is the typical timeline for an LLM optimization project?

The timeline varies depending on the complexity of the project. We work closely with clients to develop a project plan with clear milestones and deliverables. We aim to deliver results efficiently while maintaining high-quality standards.