Fine-Tune Your Model With Human-Labeled Precision

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We use high-quality supervised fine-tuning to make your LLMs more accurate, aligned, and task-specific, fast.

 

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What We Do ?

What We Offer in Supervised Fine-Tuning

We specialize in supervised fine-tuning that aligns LLMs to your unique workflows, tone, and safety standards. Whether you’re tuning a legal advisor, internal chatbot, or multi-turn agent, we deliver labeled data pipelines, clean fine-tuning, and measurable performance boosts fast and responsibly.

Labeled Prompt–Response Dataset Creation

We design and label instruction–response pairs tailored to your product goals, tasks, or tone manually or with LLM help.

Domain-Aware Dataset Curation

We build fine-tuning sets from contracts, support logs, healthcare docs, legal FAQs, and more, cleaned and categorized by experts.

Data Augmentation for Class Balance

We expand small datasets with high-fidelity synthetic examples that maintain label quality and reduce task skew.

Fine-Tuning Pipelines (Full & PEFT)

We offer full model fine-tuning or parameter-efficient methods (LoRA, QLoRA) for fast, cost-effective training.

Task-Specific Output Control

We teach models to produce structured responses, comply with formatting, and stay on-task even under vague prompts.

Safety & Refusal Training

We incorporate labeled refusal scenarios and policy alignment, minimizing hallucinations and unsupported outputs.

Bias & Drift Evaluation

We test your model pre-/post-fine-tuning to measure output shifts, fairness impact, and knowledge retention.

Multi-Language Support

We support SFT pipelines in English, Arabic, Hindi, Spanish, and more, covering both high- and low-resource languages.

Industry Adoption

Why Supervised Fine‑Tuning Is a Game Changer for LLM Performance

Supervised Fine‑Tuning isn’t just fine-tuning; it’s the fastest route to make models accurate, aligned, and production-ready. Here’s the data that proves it:

At Rain Infotech, we deliver supervised fine-tuning solutions that align language models with your specific tasks and domains. Our fine-tuned models are trained on high-quality labeled data, improving AI accuracy, reliability, and seamless integration across your existing systems.

 

SFT refines LLMs for specific tasks using limited labeled data

Even with smaller curated datasets, supervised fine-tuning effectively teaches models new behaviors and domain-specific responses.

Smaller curated datasets often outperform much larger noisy ones

Fine-tuned models show enhanced task accuracy, reduced errors, and smoother human-like interaction, leading to better user outcomes.

Labeled datasets of just 5K–10K samples are often enough for strong alignment

High-quality SFT datasets are both actionable and resource-efficient, enabling meaningful model customization without massive labeling efforts.

Small LLMs (3B–7B parameters) can match larger models when fine-tuned

Research shows that small models fine-tuned with quality instruction data outperform larger base models in tasks while using fewer resources.

SFT prevents overfitting and preserves pre-trained knowledge when done right

Structured SFT with validation safeguards models accuracy while minimizing catastrophic forgetting, delivering both alignment and retention.

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Innovation Stack

A Results-Driven Approach to Supervised Fine-Tuning (SFT)

We offer enterprise-grade Supervised Fine-Tuning pipelines designed for speed, flexibility, and model quality across open-source and proprietary LLMs.

Dataset Cleaning & Alignment Tools

We use regex-based filtering, tokenizer-aware pre-checks, and semantic labeling tools to ensure fine-tuning data quality.

Prompt Engineering Frameworks

Design modular, reusable instruction templates for clarity, task coverage, and format consistency.

LoRA & QLoRA Adapter Training

Use parameter-efficient methods to fine-tune large models using low VRAM setups and minimal performance loss.

Multi-GPU & Distributed Training Setup

We optimize for scale using DeepSpeed, FSDP, or Accelerate, customized to your cloud or on-prem stack.

Validation Splitters & Label Audits

Automatically structure train/dev/test datasets and apply rule-based validation to minimize annotation drift.

Multi-Objective Loss Tuning

Balance goals like helpfulness, refusal, and factual accuracy with weighted loss strategies.

Dynamic Prompt Sampling

Train models using adaptive sample selection to avoid overfitting, hallucinations, and prompt fatigue.

Safety & Refusal Injection

Use labeled refusal and alignment prompts to train models that follow policy or reject unsupported queries safely.

SFT Benchmarking Dashboards

Track loss curves, BLEU/ROUGE, refusal rate, and alignment accuracy via custom visual dashboards.

Multilingual Tokenizer Support

Support diverse scripts and character sets via XLM-R, sentencepiece, and joint vocabulary merging.

How It Works

Our Well-Organized Approach to Supervised Fine-Tuning

We guide you through every step from labeled dataset design to aligned model deployment, ensuring your LLM is precise, safe, and production-ready.

  • 01

    Task Scoping & Data Strategy

    We work with you to define key use cases, tone, task boundaries, and what “good” output looks like in your environment.

  • 02

    Dataset Generation & Prompt Curation

    We collect and label prompt–response pairs using domain experts, proprietary content, or high-quality public data cleaned and formatted for training.

  • 03

    Fine-Tuning Setup (Full or LoRA)

    We run your fine-tuning using full or parameter-efficient methods depending on model size, compute, and target flexibility.

  • 04

    Safety & Alignment Pass

    We add refusal behavior, safety triggers, formatting rules, and compliance filters where needed, making sure your model stays on-policy.

  • 05

    Evaluation & Drift Testing

    We evaluate model performance across accuracy, task alignment, hallucination rate, and output variation using custom benchmarks.

  • 06

    Deployment & Feedback Integration

    We package your model with logging, telemetry, and feedback loops for real-world performance improvement and safe retraining.

What We’ve Built

Success Stories That Speak for Themselves

Discover how we help visionary startups and enterprises bring Blockchain and AI-powered platforms to life, solve complex challenges across finance, retail, logistics, and more.

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Sectors

Redefining Industries with AI Development

Custom-built digital solutions tailored to the unique demands of every industry. We help businesses overcome complex challenges with AI development company.

Healthcare

Enhance diagnostics through AI-powered analysis, automate patient engagement with intelligent assistants.

Finance

Streamline operations with AI-driven fraud detection, predictive analytics, and algorithmic decision-making.

Retail

Streamline operations with AI-driven fraud detection, predictive analytics, and algorithmic decision-making.

Insurance

Streamline operations with AI-driven fraud detection, predictive analytics, and algorithmic decision-making.

Media & Marketing

Create high-impact campaigns, generate content at scale, and optimize performance with AI.

Education

Deliver personalized learning paths, automate assessments, and generate intelligent content with AI.

eCommerce

Boost conversions with AI-powered recommendations, automate customer support, and optimize.

Tech Stack

Platforms & Tools We Use

We combine cutting-edge AI platforms with proven infrastructure to deliver next-gen products that solve real problems.

AI Frameworks

Expertise in AI frameworks such as Keras for deep neural networks, Hugging Face Transformers for NLP, and OpenCV for computer vision, enabling the development of advanced machine learning and deep learning solutions.

Service Included:

Google NotebookLM
Kaggle
Deepnote
SageMaker
Fal
Runpod
TensorFlow
PyTorch
Replicate
HuggingFace
Google Colab

AI Models

Dive into various AI models including NLP, Computer Vision, and Reinforcement Learning. We leverage state-of-the-art architectures to solve complex problems and drive innovation.

Service Included:

Phi
Midjourney
Stable Diffusion
Whisper
GPT
ElevenLabs
Gemini
Runway
Llama
Leonardo
Claude
Gemma
Grok
Mistral

AI Tools

Leveraging advanced artificial intelligence tools and frameworks such as TensorFlow, PyTorch, and scikit-learn to design, build, train, and deploy highly intelligent applications, while ensuring efficiency, scalability, and adaptability across a wide range of real-world use cases.

Service Included:

Loveable
Windsurf
Github Copilot
Bolt
Zapier
Make
Cursor
CodeWhisperer
Bubble
Replit
Airtable
n8n
Vercel

Vector Database

Leveraging vector databases like Pinecone, Weaviate, and Milvus for high-performance similarity search in AI applications, enabling advanced semantic search and recommendation systems.

Service Included:

MongoDB Atlas
ChromaDB
Elasticsearch
Qdrant
Redis
Pgvector
Pinecone
Weaviate
Zilliz
Milvus
Supabase
Why Rain Infotech?

Why Leading Brands Choose Rain Infotech

Trusted by global clients and partners for delivering secure, scalable, and future-ready Blockchain and AI solutions with reliability, speed, and deep domain knowledge.

10+ Years of Excellence

Founded in 2015, we’ve grown into a globally trusted agency delivering high-impact digital solutions.

Blockchain & AI Under One Roof

Dual expertise in Web3 and GenAI – from smart contracts to custom LLMs and AI copilots.

Custom & White-Label Solutions

Whether you need a fast MVP or a fully branded platform, we’ve built it all.

Startup Agility + Enterprise Maturity

We adapt fast like startups, and deliver reliably like enterprise teams.

Security-First Development

From DeFi platforms to AI agents, security is baked into our architecture and code.

Transparent Communication

You’re never left guessing – we collaborate openly from start to scale.

Blogs

Resources & Insights

Explore expert blogs, technical guides, and curated insights to help you build smarter with AI and Blockchain.

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Testimonial

What Our Clients Say

Trusted by global clients and partners for delivering secure, scalable, and future-ready Blockchain and AI solutions with reliability, speed, and deep domain knowledge.

300+
Coin-Token development
100+
Web3 Mobile-Web Apps Delivered
50+
dApps Built on EVM Chains
30+
Decentralised Web & Mobile Wallet

Just genius. Just pure genius. Fun to work with. On time. Not only was he very accessible but he delivered more than what was committed, I got my work well before time for which I was really satisfied.

Johannes testimonial video

Their blockchain expertise is unparalleled. They helped us launch our token and build a secure, scalable dApp. The communication throughout the project was excellent.

Rainer testimonial video

Amazing team! They understood our vision perfectly and delivered a cutting-edge AI solution that exceeded our expectations. Highly recommend for complex projects.

Orhan testimonial video

Just genius. Just pure genius. Fun to work with. On time. Not only was he very accessible but he delivered more than what was committed, I got my work well before time for which I was really satisfied.

Mughira testimonial video

Their blockchain expertise is unparalleled. They helped us launch our token and build a secure, scalable dApp. The communication throughout the project was excellent.

Tine testimonial video

Amazing team! They understood our vision perfectly and delivered a cutting-edge AI solution that exceeded our expectations. Highly recommend for complex projects.

Bright Enabulele testimonial video

Just genius. Just pure genius. Fun to work with. On time. Not only was he very accessible but he delivered more than what was committed, I got my work well before time for which I was really satisfied.

Louis Kelly testimonial video

Their blockchain expertise is unparalleled. They helped us launch our token and build a secure, scalable dApp. The communication throughout the project was excellent.

Just genius. Just pure genius. Fun to work with. On time. Not only was he very accessible but he delivered more than what was committed, I got my work well before time for which I was really satisfied.

Johannes testimonial video

Their blockchain expertise is unparalleled. They helped us launch our token and build a secure, scalable dApp. The communication throughout the project was excellent.

Rainer testimonial video

Amazing team! They understood our vision perfectly and delivered a cutting-edge AI solution that exceeded our expectations. Highly recommend for complex projects.

Orhan testimonial video

Just genius. Just pure genius. Fun to work with. On time. Not only was he very accessible but he delivered more than what was committed, I got my work well before time for which I was really satisfied.

Mughira testimonial video

Their blockchain expertise is unparalleled. They helped us launch our token and build a secure, scalable dApp. The communication throughout the project was excellent.

Tine testimonial video

Amazing team! They understood our vision perfectly and delivered a cutting-edge AI solution that exceeded our expectations. Highly recommend for complex projects.

Bright Enabulele testimonial video

Just genius. Just pure genius. Fun to work with. On time. Not only was he very accessible but he delivered more than what was committed, I got my work well before time for which I was really satisfied.

Louis Kelly testimonial video

Their blockchain expertise is unparalleled. They helped us launch our token and build a secure, scalable dApp. The communication throughout the project was excellent.

FAQs

FAQs About Supervised Fine-Tuning

It’s the process of training a model on labeled input–output pairs so it learns to produce more task-specific and aligned responses.

Supervised Fine-Tuning uses static labeled data. Instruction tuning is a form of Supervised Fine-Tuning with instruction–response focus. RLHF builds on top of SFT using human preference signals.

Clear prompt–response examples that reflect real user tasks, formats, tone, and edge cases, ideally curated or reviewed by domain experts.

Effective fine-tuning often starts with just 5K–10K examples. We help assess volume and coverage based on your model and goals.

Yes. We support SFT on LLaMA, Mistral, Falcon, Yi, and more, plus help wrap, secure, and deploy your tuned models.

Yes, especially when combined with safety-focused prompts, refusal training, and bias testing tailored for compliance environments.

 

Absolutely. We support multilingual pipelines, tokenizers, and evaluation frameworks to tune across languages and scripts.

Not if done correctly. We use targeted tuning, validation checks, and loss balancing to preserve base knowledge while teaching new behaviors.

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