What is the difference between RAG and Fine Tuning?

Fine tuning changes the behavior and knowledge of the model permanently by training it. RAG connects the model to external data sources like your documents. We often use both together for the best results.

How much data do I need?

You do not need millions of documents. With modern techniques like QLoRA, we can achieve significant improvements with just a few hundred to a few thousand high quality examples.

Yes. Unlike using public AI chatbots where your data trains their models, our service builds a model that you own. We can train in your private cloud or on premise environment.

How long does the process take?

A typical engagement lasts 4 to 8 weeks. This includes data preparation, training runs, evaluation, and final integration into your software.

Can you update the model later?

Yes. We design pipelines that allow for continuous training. As you gather new data, we can easily update the model to keep it current.

Custom LLM Fine Tuning Services for Enterprise Growth

Build smarter, faster, and more secure AI solutions. We transform generic open source models into proprietary business assets trained on your unique data.

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Make Artificial Intelligence Work Specifically for You

Generic AI models are impressive, but they lack your specific business context. To get real value, you need a model that understands your industry, your customers, and your internal language.

At Deliverables Agency, we specialize in LLM Fine Tuning. We take powerful open source foundation models and train them on your proprietary data. The result is an AI solution that is more accurate, highly secure, and significantly cheaper to run than standard public models.

Engineers reviewing an AI model on screen

Our End to End Fine Tuning Process

We handle everything from the initial strategy to the final deployment. Our process ensures your AI aligns perfectly with your business goals.

1
Strategic Consultation and Model Selection
We do not believe in one size fits all. We analyze your needs to select the perfect base model. Whether you need the reasoning power of Llama 3, the speed of Mistral, or the specialized capabilities of Falcon, we choose the architecture that fits your budget and performance requirements.
2
Data Engineering and Security
Data is the fuel for your AI. Our team cleans, structures, and prepares your datasets to ensure maximum training efficiency. We prioritize data privacy. We ensure your sensitive information never leaves your secure environment during the training process.
3
Advanced Training Methodologies
We use advanced techniques to train your model efficiently, combining supervised fine-tuning for targeted behavior, PEFT and LoRA to reduce hardware costs, and reinforcement learning from human feedback to ensure strict alignment with safety standards and your brand voice.
4
Rigorous Evaluation
Before deployment, we test your model against strict benchmarks. We check for accuracy, hallucination rates, and reasoning logic. We ensure the model outperforms the generic baseline before it ever reaches your users.
5
Optimized Deployment
We integrate the model into your existing software ecosystem. We optimize for inference speed to ensure your users get instant responses without lagging.
1
Strategic Consultation and Model Selection
We do not believe in one size fits all. We analyze your needs to select the perfect base model. Whether you need the reasoning power of Llama 3, the speed of Mistral, or the specialized capabilities of Falcon, we choose the architecture that fits your budget and performance requirements.
2
Data Engineering and Security
Data is the fuel for your AI. Our team cleans, structures, and prepares your datasets to ensure maximum training efficiency. We prioritize data privacy. We ensure your sensitive information never leaves your secure environment during the training process.
3
Advanced Training Methodologies
We use advanced techniques to train your model efficiently, combining supervised fine-tuning for targeted behavior, PEFT and LoRA to reduce hardware costs, and reinforcement learning from human feedback to ensure strict alignment with safety standards and your brand voice.
4
Rigorous Evaluation
Before deployment, we test your model against strict benchmarks. We check for accuracy, hallucination rates, and reasoning logic. We ensure the model outperforms the generic baseline before it ever reaches your users.
5
Optimized Deployment
We integrate the model into your existing software ecosystem. We optimize for inference speed to ensure your users get instant responses without lagging.

Why Top Brands Choose Deliverables Agency

We go beyond code. We deliver business outcomes.

Complete Data Sovereignty

When you use APIs from big tech companies, you share your data. With our fine tuning services, you own the model and the weights. Your data stays on your servers. You maintain 100% control over your intellectual property.

Cost Efficiency
Huge models like GPT 4 are expensive to run. We create smaller, specialized models that perform specific tasks better than the giants but cost a fraction of the price to operate.
Model Agnostic Experts
We are not tied to one technology. We work with the entire open source ecosystem including Meta Llama, Mistral AI, Google Gemma, and Bloom. We pick the best tool for your job.
Focus on ROI
Our projects are designed to improve your bottom line. Whether it is automating support tickets or analyzing legal contracts, we target a 40% increase in operational efficiency.

Make Your Business AI-Ready

Technical Capabilities and Stack

We leverage the most powerful tools in the industry to build your custom AI.

Core Training Libraries

PyTorch: The gold standard for deep learning research and production.
Hugging Face: Access to over 500,000 models and datasets.
DeepSpeed: The bot resolved 60% of queries without human help. Agent satisfaction rose, and customer wait times dropped significantly.
QLoRA: Memory efficient training for high performance on standard hardware.

Infrastructure and Serving

vLLM: High throughput library for serving LLMs.
NVIDIA Triton: Standardizing AI inference across cloud and edge.
AWS and Azure ML: Scalable cloud environments for enterprise workloads.

Real World Applications

1
Healthcare and Medical Records
We train models to summarize patient history and structure medical reports. A custom model ensures patient data remains private and complies with HIPAA standards, which public chatbots cannot guarantee.
2
Legal and Contract Analysis
Generic models often miss legal nuances. We fine tune models on your past case files and contract templates. This creates an AI assistant that drafts and reviews documents with the precision of a junior associate.

3
Finance and Fraud Detection
Financial language is complex. We build models that understand your specific internal codes, transaction types, and risk factors to detect anomalies faster than human analysts.
4
Customer Support Automation
Stop using generic canned responses. We train AI on your historical support tickets. The AI learns your tone of voice and product details, resolving up to 80% of Tier 1 queries automatically.

Beyond Standard Training: Advanced Optimization

We offer specialized services that add value where competitors stop.

Retrieval Augmented Generation (RAG)
Fine tuning teaches a model “how” to speak, but RAG gives it memory. We combine fine tuned models with RAG systems. This allows your AI to reference your live company database for every answer, ensuring zero hallucinations and perfect accuracy.
Knowledge Distillation
Do you need AI on a mobile device? We use distillation to transfer the intelligence of a massive model into a tiny model. This allows you to run smart AI locally on phones or laptops without internet access.

Frequently Asked Questions

Fine tuning changes the behavior and knowledge of the model permanently by training it. RAG connects the model to external data sources like your documents. We often use both together for the best results.
You do not need millions of documents. With modern techniques like QLoRA, we can achieve significant improvements with just a few hundred to a few thousand high quality examples.
Yes. Unlike using public AI chatbots where your data trains their models, our service builds a model that you own. We can train in your private cloud or on premise environment.
A typical engagement lasts 4 to 8 weeks. This includes data preparation, training runs, evaluation, and final integration into your software.
Yes. We design pipelines that allow for continuous training. As you gather new data, we can easily update the model to keep it current.

Ready to Build Your Custom AI Asset?

Stop renting intelligence and start owning it. Let Deliverables Agency build a model that knows your business as well as you do.

Book your free strategy call

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Sakshi BhallaMarketing Director at Valiance
"Deliverables Agency launched a high-performance website improving UX, speed, and traffic, with scalable CMS, timely delivery, proactive communication, and responsiveness."
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Saksham BhutaniFounder CopilotGTM
“Deliverables Agency improved efficiency, scalability, and performance, delivering on time with responsive support, clear communication, execution, and commitment to quality.”
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Gary BayatyanCOO, AxiomPrint
“Deliverables Agency provided accurate estimates, timely delivery, quick responses, regular meetings, and a true partnership ensuring high-quality, long-term engagement.”
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Sakshi BhallaMarketing Director at Valiance
"Deliverables Agency launched a high-performance website improving UX, speed, and traffic, with scalable CMS, timely delivery, proactive communication, and responsiveness."
Read on Clutch
Saksham BhutaniFounder CopilotGTM
“Deliverables Agency improved efficiency, scalability, and performance, delivering on time with responsive support, clear communication, execution, and commitment to quality.”
Read on Clutch
Gary BayatyanCOO, AxiomPrint
“Deliverables Agency provided accurate estimates, timely delivery, quick responses, regular meetings, and a true partnership ensuring high-quality, long-term engagement.”
Read on Clutch