LLM/AI Engineer
Pratik Dani
Starting at
$
45
/hrAbout this service
Summary
We offer tailored LLM fine-tuning services, leveraging cutting-edge open-source models like Llama and Claude to meet your specific business needs. Our approach focuses on defining key performance metrics to ensure the model’s effectiveness and seamlessly deploying it to the cloud for smooth integration into your existing systems. What sets us apart is our commitment to aligning model development with your unique business objectives, ensuring maximum impact and efficiency.
Process
1. **Requirement Gathering & Analysis**
- Understand and document the specific business needs for the LLM. - Identify key performance metrics aligned with business objectives.
2. **Model Selection & Experimentation**
- Explore various open-source models (e.g., Llama, Claude) suitable for the project. - Experiment with different models to evaluate performance against defined metrics.
3. **Fine-Tuning & Customisation**
- Fine-tune the selected LLM models based on the gathered requirements. - Optimize the model to meet the key performance indicators (KPIs).
4. **Testing & Validation**
- Conduct rigorous testing to ensure the model meets business needs. - Iterate and refine the model based on feedback and testing results.
5. **Deployment on Cloud**
- Deploy the fine-tuned LLM on a cloud platform, ensuring scalability and security.
6. **Integration & Implementation**
- Integrate the deployed LLM into existing workflows, tools, or systems. - Provide support for seamless integration and user training if necessary.
7. **Monitoring & Optimisation**
- Continuously monitor the model's performance post-deployment. - Make ongoing optimisations to enhance performance and adapt to evolving business needs.
FAQs
What are the key metrics you focus on during fine-tuning?
The key metrics depend on your business needs but may include accuracy, response time, relevancy, and user satisfaction.
How long does the fine-tuning and deployment process take?
The timeline varies based on the complexity of the project, but typically, it can take anywhere from a few weeks to a couple of months.
Can the LLM be integrated into my existing systems?
Yes, we ensure that the fine-tuned LLM is seamlessly integrated into your existing workflows, tools, or systems.
What kind of support do you offer post-deployment?
We provide continuous monitoring, performance optimization, and ongoing support to ensure the LLM adapts to your evolving business needs.
Is my data secure during the fine-tuning and deployment process?
Absolutely. We follow industry best practices to ensure your data is secure throughout the entire process.
What's included
I will develop a tool or integrate AI in your workflow
1. **Customize an LLM to meet your specific needs.** 2. **Experiment with and fine-tune various open-source models (e.g., Llama, Claude).** 3. **Establish key metrics aligned with business requirements for model development and fine-tuning.** 4. **Deploy the fine-tuned LLM on the cloud.** 5. **Integrate the LLM into your existing workflow, tools, or other systems.**
Skills and tools
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