Large language model (LLM) development and training

Maximize efficiency in content creation, customer support, and data analysis with our vast expertise in large language model development. HW.Tech’s certified AI professionals specialize in creating custom LLMs on top of GPT, Llama, DeepSeek, and other solutions as well as fine-tuning pre-trained models for your specific business needs and use cases.

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Team of product creators trusted by Fortune 500 companies

LLM development services we deliver

Training large language models (LLMs) of any scale and complexity to increase efficiency, automate labor-intensive tasks, and lower operational costs.

LLM strategy and consulting

We help you get a clear product vision and devise an LLM adoption strategy. Our software development team defines your use case, assesses proprietary data, and provides actionable recommendations on the tech infrastructure. You receive a detailed development plan with an ROI estimate on time and resource savings and a KPI roadmap for predictable outcomes.

Business case analysis
Proof of concept
Overview of proprietary data
Project estimation and roadmap

LLM development

HW.Tech’s LLM developers build custom large language models on top of GPT-3, Llama, PaLM, and other foundation models We handle all aspects of LLM development, from data preparation and model selection to training, fine-tuning, and integration with your applications. We design a product that fully meets your business needs while helping you stay more efficient.

User workflow development
Custom solutions development
Dataset preparation
LLM integration

LLM fine-tuning

We fine-tune pre-trained LLMs with your proprietary data to maximize their value and improve accuracy rates. Our experts address common limitations of base models like generic outputs, lack of domain knowledge, and difficulty with highly specialized use cases. We ensure precise and contextually relevant outputs even for the most complex operations.

Large language model fine-tuning
API integration
Data architecture modernization
Large language model automation

LLM support and maintenance

Our team leverages Grafana, Sentry, New Relic, and other monitoring and observability tools to keep your large language model secure, up-to-date, and functional. From model optimization to troubleshooting, we ensure the product evolves with your business needs and consistently delivers reliable, hallucination-free outputs.

Certified LLM developers driving growth for businesses on a global scale

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Large language model use cases

LLM development unlocks a world of opportunities for businesses across all industries. From delivering superior customer support to enhancing data analysis, the possibilities are endless.

Chatbots and virtual assistants

Deliver outstanding customer support with context-aware chatbots and virtual assistants that reply instantly and help users better navigate your product.

Content & document generation

Craft compelling content, summarize lengthy documents, and simplify content-related tasks with content-generation solutions powered by natural language processing.

Data analytics tools

Gain actionable insights from structured and semi-structured text data, predict trends, and inform decision-making with AI-powered data analysis.

Personalized recommendations

Increase sales and boost customer loyalty by creating tailored shopping experiences that resonate with your clients.

Educational tools

Enhance the learning experience, provide personalized content for each learner, and make education more accessible with AI-powered educational tools.

Language translation and localization

Easily translate texts from any language to any language while ensuring cultural relevance, accuracy, and tone with LLM-based translation solutions.

93% of our clients recommend our large language model development services*

* according to our customer survey

200+

completed projects

years in business

years average length of client relationship

800+

seasoned software engineers

5000+

tech talent pool worldwide

global offices

4.5

years average team tenure

80%

customer return rate

93%

customer satisfaction score

Custom software development that empowers businesses on a global scale

Pharmaceutical Dossier bot for automated value dossier generation

Fintech AI-driven solution for climate risk management & adaptation finance

Pharmaceutical AI-powered market intelligence tool for the pharmaceutical segment

Our technology stack

With certified expertise in multiple programming languages, technologies, and frameworks, our web developers turn your boldest ideas into market-ready products.

Generative AI

Programming languages and frameworks

Data solutions

DevOps

Big data & machine learning

Cloud

Monitoring & observability

Benefits of large language model development

Investing in LLM development services is a prudent decision that yields a myriad of long-term benefits.

Reduce operational costs by automating customer service, document creation, language translation, and other labor-intensive tasks

Elevate the customer experience with personalized recommendations and 24/7 chatbot support that offers instant replies

Inform decision-making with data-driven insights and predictive analytics to make smarter choices that propel your business forward

Ensure accurate, contextually aware, and relevant outputs, regardless of the complexity of the data you work with

Gain a competitive edge by providing more sophisticated, tailored services that address the unique challenges of your clients

Leverage LLMs to boost scalability and efficiently handle increasing workloads, enabling seamless growth without compromising quality or performance

Our artificial intelligence expertise

Natural language processing (NLP)HW.Tech’s software engineers leverage NLP tools and frameworks, including NLTK, spaCy, and TensorFlow, to develop tailor-made NLP models with advanced NLU and NLG capabilities.

Machine learning We use a broad spectrum of machine learning frameworks, such as TensorFlow, PyTorch, and Databricks, to develop scalable, data-driven models that automate and optimize operations.

Transfer learningOur software engineers use TL techniques to adapt pre-trained models to new tasks with minimal data, enabling faster deployment and higher accuracy while reducing LLM training time.

In-context learningOur generative AI development team leverages in-context learning to enable models to make real-time predictions based on immediate input without explicit retraining.

Few-shot learningHW.Tech’s AI specialists use few-shot learning to train models with minimal labeled data, ensuring strong performance and efficient deployment in data-scarce environments.

Sentiment analysisWe leverage sentiment analysis to extract emotional context from text, enabling companies to monitor customer feedback, analyze market sentiment, and develop effective brand strategies.

Our industry expertise

Our seasoned LLM developers empower businesses in the healthcare, pharmaceutical, and fintech sectors with bespoke LLM solutions that excel in highly specialized tasks.

Discover our capabilities

Healthcare

Equipping healthcare organizations with large language models for efficient medical documentation and summarization, clinical decision support, and personalized treatments.

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Pharmaceutical

Delivering custom LLMs that automate dossier creation, analyze vast clinical trial datasets to accelerate drug discovery, and predict drug interactions and side effects to enhance efficacy.

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Fintech

Enhancing fraud detection and prevention, enabling personalized financial recommendations, and providing impeccable customer service with LLMs tailored for fintech businesses.

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Our LLM development process

Step 1

a female IT expert in a virtual meeting with her collegues. She sits in front of her laptop but stares at the TV on the left for some reason

Requirements gathering We collaborate with you to understand your project’s goals, translate them into clear problem definitions, set specific milestones, and establish measurable ROI from the start.

Step 2

Data analysis We assess available data sources to ensure they meet the quality and quantity needed for LLM training. If necessary, we guide you on how to collect and prepare data.

Step 3

Data collection Our data engineers gather data from various sources, standardize its formats, and consolidate it into centralized storage (Data Lake/Warehouse) using ETL pipelines.

Step 4

two asian men (one wearing white glasses) looking at a laptop screen, something is written on a blackboard behind them (only 2:50 PM is legible)

Data preparation Our data scientists clean, label, augment, anonymize, and sample the data to ensure it’s ready for accurate and effective modeling.

Step 5

a man pointing to a computer screen with lines of code, a female looking at the screen, probably smiling

Architecture selection and fine-tuning We select the appropriate model architecture (e.g., GPT, BERT) and fine-tune it on your dataset, optimizing hyperparameters and training strategies to tailor the model for your specific use case.

Step 6

Model performance evaluation We evaluate model accuracy and potential against business objectives, analyzing its confusion, performance, and quality to ensure it meets real-world requirements and aligns with your goals.

Step 7

a bearded customer support manager either putting off or putting on his headphones (ready to assist customers in trouble)

Project go-live estimation Based on R&D findings, our LLM developers provide a detailed roadmap for your LLM product, including resources, team composition, model deployment, and development needs.

Step 8

Working model optimization After deployment, we measure and monitor model performance, create benchmarks for future iterations, address biases and noise, and continuously optimize it to improve accuracy.

Supercharge your business with professional LLM training and development

Reach out to us

Large language model development company trusted by Fortune 500 organizations

With a track record of over 200 successful projects, HW.Tech delivers top-quality large language model development services backed by dozens of positive reviews and 5-star ratings.

5.0

4.9

based on 29 reviews

4.6

Why HW.Tech?

100% compliance

We create software with compliance in mind, ensuring adherence to government regulations and standards in your industry.

Uncompromised quality

We develop ISO 25010-compliant custom software solutions that deliver superior performance while helping you achieve your business objectives.

Visibility & control

You gain access to a centralized project dashboard with regular progress reports, and all upcoming expenses are discussed in advance.

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Your IP, our support

You retain full intellectual property rights to your product(s). We also provide post-launch maintenance and support with regular security audits.

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Client testimonials

4.8

TrustPilot

5.0

Clutch

“Helpware Tech’s high-quality work received glowing praises from the client due to their organized and transparent development. Their outstanding project management complemented their top-notch coding skills — they were flexible, accommodating, and easy to work with.“

Jordan Waid Director, Percepi Knowledge Ltd

4.8

TrustPilot

5.0

Clutch

“Transparency in communication is a fantastic skill for a partner to have. In addition, Helpware Tech proved their expertise among a vast range of technologies, which was emphasized by our client. The project manager was extremely responsive. He was available 24/7 to cover all questions and demonstrate progress as needed.“

Andre Kholodov CEO, ADUK GmbH

4.8

TrustPilot

5.0

Clutch

“The solution that Helpware Tech developed is fully-functional and mobile-friendly. It meets all of the company's expectations. The company appreciated the team's project management, as it suited their own structure. The team even made themselves flexible to accomodate the company's schedule.”

Corbin Fraser Group Product Manager, Mobile Services, Bitcoin.com

4.8

TrustPilot

5.0

Clutch

"I’d recommend HW.Tech because I felt their engagement and understanding of our business. They offered the best solution provision of what we were looking for. They were very responsive to the requests, very flexible, just going in flow with our changes."

Alan Ball Managing Partner, Octagon Medical Practice

4.8

TrustPilot

5.0

Clutch

"With the support of our partners, we have created a platform that will provide developers with an efficient way to raise project capital and enable investors to actively choose which carbon offset projects they would like to support. Helpware Tech is a highly reliable and efficient development partner, providing excellent project management, timely communication, and commitment to go the extra mile when needed."

Steven Lowenthal Co-CEO and Co-Founder, Frontier Carbon Solutions

Choose a suitable engagement model

End-to-end development

We take full responsibility for your product, from initial concept to final delivery, working closely with stakeholders at every stage of the development process.

Dedicated team

We dedicate a team to your project and manage it on your behalf, freeing up your time for core business activities.

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Team augmentation

We help you bridge the talent gaps by integrating our brightest minds into your in-house team while enabling you to maintain full control over your project.

Trust your project to an expert large language model development team

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FAQ

What is a large language model?

A large language model is a type of machine learning model designed for natural language processing tasks. It leverages deep learning and massively large data sets to understand, summarize, and generate content. They come in handy for a huge variety of language-related applications, including content creation, translation, sentiment analysis, and providing responses to customer inquiries among others.

What large language models do you specialize in?

We specialize in a wide range of LLM models, building solutions that seamlessly integrate into your business processes:

GPT
LLama
PaLM-2
Claude
DeepSeek
DeepMind Gopher
Facebook OPT
Hugging Face Bloom
RedPajama-INCITE
Stable LM
Pythia
FLAN-T5
Phi-2
FLAN-UL2
CPM-Ant
Gemini
Vicuna
Mistral

What’s the difference between pre-trained and custom LLMs?

A pre-trained LLM is a model trained on large, general datasets. It can perform a wide range of natural language processing tasks. Although such a model has broad knowledge, it might not be specialized for specific industries or business contexts.

In contrast, a custom LLM is fine-tuned to meet the unique needs of a particular business or industry. By training the model on your specific data (company documents, industry jargon, customer interactions, etc.), it becomes more adept at understanding and addressing your particular business requirements. Therefore, it offers more accurate and context-aware responses compared to pre-trained LLMs that have not been fine-tuned.

How much do LLM services cost?

The cost of large language model training and development services varies depending on the model’s size, complexity, usage, and whether you’re building it in-house or using a cloud-based API. Additionally, these factors come into play:

Training costs
Hardware and compute costs
Data costs
Operational costs (maintenance and fine-tuning).
Development team costs.

It’s impossible to provide a cost estimate for LLM services without taking a look at your project first. So if you would like to receive a quote, please contact us via the website form and tell us about your product idea. We’ll come back to you within one business day to discuss how much LLM development services are going to cost in your specific case.