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Maximize Your GenAI Model Performance:
Scalable LLM Fine-Tuning Services With Human Insights
Maximize Your GenAI Model Performance:
Scalable LLM Fine-Tuning Services With Human Insights
Achieve Measurable Gains in Model Accuracy, Safety, and Task Performance with LLM Fine-Tuning
At Digital Divide Data (DDD), we specialize in customizing and fine-tuning models to deliver real-world impact. Our team combines deep technical expertise with domain knowledge to help you achieve the highest accuracy, safety, and reliability. By aligning models with your specific use cases, we can help minimize hallucinations, enforce guardrails, and ensure model outputs reflect your business context.
Our Human-Guided Fine-Tuning Services
Supervised Fine-Tuning (SFT)
We adapt strong base models to your exact tasks using high-quality labeled data, improving accuracy, tone, and compliance from day one.
Domain experts annotate and validate training data
Reinforcement Learning with Human Feedback (RLHF)
We align model behavior with your users’ preferences, optimizing for safety and brand voice.
Humans rank outputs to guide reward models
Prompt Engineering
We design, test, and iterate prompts and system instructions that reliably elicit the responses you want.
Experts craft, iterate, and evaluate prompt structures
Red Teaming
We stress-test for bias, jailbreaks, and safety gaps using adversarial prompts and edge cases, then harden models against them.
Specialists simulate edge cases and harmful scenarios
Custom Dataset Curation
We build clean, privacy-safe, task-specific datasets to maximize downstream model performance.
SMEs select, annotate, and structure data for relevance
Model Evaluation & Benchmarking
We measure what matters with scenario-based tests and KPIs (quality, safety, latency, cost), benchmarking against baselines and peers.
Analysts interpret results and recommend improvements
Improved LLM Output delivered through DDD’s Fine-Tuning Capabilities
Explore how DDD’s fine-tuning capabilities transforms generic models into domain-aware, task-optimized systems built for accuracy, safety, and multilingual reach.
| Our Capabilities | Initial Model Behavior | Post Fine-Tuning Model Output |
|---|---|---|
| Domain Specialization | Struggles with jargon, compliance, and workflows | Fluent in domain specific (healthcare, finance, legal, and retail), context-aware and standards-aligned |
| Task Optimization | Surface-level results for summarization, code, and support | Reliable execution tailored to task complexity and business needs |
| Instruction Following | Misses nuance, incomplete responses | Precise handling of multi-step instructions and structured workflows |
| Bias & Safety Alignment | Risk of biased or unsafe outputs | Guardrails, bias reduction, and compliance baked into model behavior |
| Multilingual Expansion | Accuracy drops in non-English contexts | Clear, localized communication across languages and dialects |
| Reduced Hallucinations | Generates incorrect or fabricated facts | Verified datasets reduce hallucinations, boosting factual reliability |
| User Preference Alignment | Generic, one-size-fits-all responses | Personalized outputs aligned with user goals and feedback loops |
95%
Drop in flagged responses
Toxicity Reduction Score Evaluates reduction in biased, unsafe, or toxic outputs
Toxicity Reduction Score Evaluates reduction in biased, unsafe, or toxic outputs
45%
Boost in F1 Score
Evaluates precision and recall for tasks like summarization, classification, Q&A
Evaluates precision and recall for tasks like summarization, classification, Q&A
85%
Reduction in hallucinated content Hallucination Rate
Frequency of fabricated or incorrect facts
Frequency of fabricated or incorrect facts
Technical Rigor
Our experts design curated datasets, training pipelines, and robust evaluation frameworks to fine-tune foundation models with precision.
Domain Expertise
With access to industry SMEs and deep domain knowledge, we align models with the language, compliance, and workflows of your vertical and use case.
Security
We are SOC 2 Type II certified, meet NIST 800-705 standards, and are GDPR compliant, ensuring client information remains secure and confidential.
Seamless Integration
We can fine-tune models with curated multilingual datasets and native SMEs to capture dialects and context, ensuring AI communicates with clarity and cultural sensitivity.
The DDD Difference
What Our Clients Say
Our Impact
By pioneering an impact sourcing model, DDD has built teams that bring unique perspectives and domain depth, strengthening both the social impact and the technical outcomes of every project.
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