Specialist-powered LLM fine‑tuning solutions
Enabled Intelligence provides LLM fine-tuning solutions for domain-specific tasks that require high levels of subject matter expertise as well as data security and confidentiality
Who is Enabled Intelligence
Enabled Intelligence is a team of professional, subject matter specialist, who are expert in AI data labeling, analysis, LLM fine-tuning, and LLM validation. We are a 100 % US owned small business solely focus on providing customers with expert LLM prompt generation, fine-tuning, and testing services reducing LLM bias, hallucinations, and errors. Our team helps clients fine tune widely available LLMs to their specific business needs. We maintain strict data and cyber security standards ensure our client’s data is fully protected and remains confidential, proprietary, and is never used to train other AI models. We maintain the security of some of the most confidential and classified data of US government agencies and bring that level of security and trust to all our customer engagements.
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Our Approach to Large Language Model Fine-Tuning
Data labeling
Fine-tuning requires high-quality, domain-specific labeled data that reflects the tasks the LLM will perform. If your data isn’t fully ready, we offer data labeling and preparation services.
Model selection
We help you choose the right model, whether it’s a custom-built LLM or a pre-trained one. The right model will allow fine-tuning to focus on your specific tasks, such as text generation or classification.
Fine-tuning strategy
Depending on your LLM, we use a variety of LLM fine tuning techniques, including supervised learning, hyperparameter optimization, and task-specific fine tuning.
Secure and Confidential LLM deployment
As an independent AI solution provider with deep expertise supporting the US government customers and highly regulated industries, Enabled is committed to keeping all your data confidential and secure throughout the entire LLM fine-tuning and deployment process.
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Schedule a consultation with us to discuss your large language model fine-tuning needs
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