Unlocking Industry-Specific AI: How Techmango’s fine-tuned LLMs transform Healthcare, Banking and Finance!

Overview

The rise of Generative AI (GenAI) has revolutionized industries, but generic Large Language Models (LLMs) often fall short in specialized domains. At Techmango, we bridge this gap with custom fine-tuned LLMs tailored to customers’ unique needs in healthcare, banking, and finance. By refining models to understand domain-specific language, regulations, and workflows, we empower enterprises to unlock precision, compliance, and great efficiency.

The Problem: Why Generic LLMs Fail in Critical Industries

Off-the-shelf LLMs struggle to deliver value in highly regulated, jargon-heavy sectors like healthcare and finance. Key challenges include:

Irrelevant outputs: Generic models lack understanding of specialized terms (e.g., medical codes, financial regulations).

Misaligned tone & compliance: Fails to adhere to industry-specific guidelines (e.g., HIPAA in healthcare, SOX in finance).

Risks of Hallucination: It generates confident yet factually incorrect or fabricated information, which is especially dangerous in sectors like healthcare (e.g., incorrect medical advice) and finance (e.g., misleading regulatory interpretations), where accuracy is critical.

Inefficiency in niche tasks: Poor performance in tasks like clinical note analysis, fraud detection, or loan underwriting.

High costs: Running massive general-purpose models for narrow tasks wastes computational resources.

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The Techmango Solution: Precision through fine-tuning LLM Models

We specialize in domain-specific LLM fine-tuning, transforming generic models into industry experts.

Here’s how we do it:

Curated dataset training

• Train models on industry-specific data (e.g., medical journals, and regulatory documents).
• Incorporate proprietary vocabularies (ICD-10 codes in healthcare, SWIFT messages in banking).

Advanced techniques for efficiency

• LoRA (Low-Rank Adaptation): Cost-effective fine-tuning that preserves base model knowledge while adding domain expertise.
• Adapter layers: Lightweight, modular updates for rapid customization without retraining entire models.
• RLHF (Reinforcement Learning from Human Feedback): Aligns model behavior with human preferences using reward models and reinforcement learning for more natural, context-aware responses.
• Instruct tuning: Enhances a model’s ability to follow commands accurately through supervised fine-tuning with instruction-response datasets.

Outcome-driven customization

• Align outputs with business goals (e.g., generating patient summaries, and detecting suspicious transactions).
• Ensure adherence to brand voice and compliance standards.
• A Curated Knowledge Engine will serve as the backbone to support the fine-tuned model, ensuring it stays up-to-date with the latest data and evolving logic.

Result:

• 3X improvement vs. generic LLMs
• 35% higher precision in domain-specific tasks
• 90%+ accuracy in workflows like claims processing
• Reduce compute costs by 50%+ with optimized models

Industry Use Cases:

Healthcare

Banking & Finance

Why Choose Techmango?

Proven Expertise: 25+ models fine-tuned for global clients..

Seamless Integration: Compatible with your existing tech stack:

• Azure AI Foundry (Scalable training pipelines)
• Amazon Bedrock (Secure model deployment)
• Hugging Face (Open-source model optimization)
• Vertex AI (End-to-end MLOps)

Outcome: Smarter, Faster, and Compliant workflows

Healthcare Providers: Reduce administrative workload by 40% with automated documentation.
Banking & Financial Services: Cut fraud losses by 25% with real-time anomaly detection.

Financial Institutions: Accelerate loan approvals by 60% while minimizing risk.

Ready to transform your Industry with AI?

Generic LLMs are a starting point, fine-tuned models are the future. Let Techmango tailor Generative AI to your unique needs.

Contact Us for a free consultation or pilot project.