Large Language Model (LLM) Development & Training Services
Large Language Model (LLM) Development & Training Services
Get a bespoke LLM to optimize multiple business processes and enhance the team's performance. Build a proprietary gen AI model or fine-tune a powerful pre-trained one with our LLM development services.
What Are Large Language Models?
LLMs are AI models with advanced capabilities for understanding and processing textual data. The most modern large language models can generate meaningful human-like content in response to free-form prompts.
All LLMs are deep learning models powered by advanced neural network architectures (transformers, RNNs (recurrent neural networks), etc.). The models are trained on colossal amounts of text data.
There are two primary types of LLMs by functionality: discriminative (BERT by Google, RoBERTa by Meta) and generative (GPT-3,4 by OpenAI, PaLM-2, T5, LaMDA by Google, Claude by Anthropic, LLaMA by Meta). Discriminative models are mainly utilized for sentiment analysis, document organization, customer support, and search engines. Generative models suit content creation, customer service, personalized recommendations, and language translation.
Benefits of Custom Large Language Model Development
LLMs are now all over the news, talks, and, of course, our workflows. However, most companies still hardly tap into the full potential of this instrument. So, why do businesses need LLM-powered solutions, especially custom ones?
- Solve Specific Business Tasks
LLM development and training services imply creating/fine-tuning models on domain-specific training data, including business data repositories and your proprietary data. Unlike generic LLMs, custom models are designed for concrete objectives, use cases, and tone of voice. Moreover, these tools can be equipped with custom-made features and seamlessly integrated into other company systems.
- Increase Operational Efficiency
Trained or fine-tuned for particular organizations, large language models automate a host of routine tasks and streamline many other operations concerning textual data and content. Marketing, customer service, sales teams, executives, and other departments hugely benefit from such AI tools, having fewer mundane and dull tasks in to-do lists.
- Improve Decision-Making Accuracy
With fresh business insights gained via LLM-based predictive analytics and sentiment analysis tools, agents, managers, and execs become better at identifying growth opportunities, making decisions, and changing courses of action. AI models progress by the month, and those blending their power with human intelligence and talent can count on the best results.
- Level up the User Experience
LLMs excel at analyzing user behavior patterns (like search and purchase history), personalizing offers or item recommendations, and providing customer support via chatbots and virtual assistants in different languages. Decent customer service has become affordable for companies of all sizes.
- Reduce Operational Costs
Large language models allow for saving costs by automating many quite labor-intensive processes. Having powerful LLMs tailored to their business needs, companies can cover the rising number of analytics, content marketing, and customer service tasks with the same or even fewer staff.
- Future-proof the Business
Entering new markets or industry segments inevitably means dealing with more data and establishing new operations. With custom AI products in active use, scaling the company is far more stable and sustainable because AI models are by default meant to handle large volumes of data, not losing performance quality but only getting better at producing valuable insights.
LLMs are now all over the news, talks, and, of course, our workflows. However, most companies still hardly tap into the full potential of this instrument. So, why do businesses need LLM-powered solutions, especially custom ones?
Solve Specific Business Tasks
LLM development and training services imply creating/fine-tuning models on domain-specific training data, including business data repositories and your proprietary data. Unlike generic LLMs, custom models are designed for concrete objectives, use cases, and tone of voice. Moreover, these tools can be equipped with custom-made features and seamlessly integrated into other company systems.
Increase Operational Efficiency
Trained or fine-tuned for particular organizations, large language models automate a host of routine tasks and streamline many other operations concerning textual data and content. Marketing, customer service, sales teams, executives, and other departments hugely benefit from such AI tools, having fewer mundane and dull tasks in to-do lists.
Improve Decision-Making Accuracy
With fresh business insights gained via LLM-based predictive analytics and sentiment analysis tools, agents, managers, and execs become better at identifying growth opportunities, making decisions, and changing courses of action. AI models progress by the month, and those blending their power with human intelligence and talent can count on the best results.
Level up the User Experience
LLMs excel at analyzing user behavior patterns (like search and purchase history), personalizing offers or item recommendations, and providing customer support via chatbots and virtual assistants in different languages. Decent customer service has become affordable for companies of all sizes.
Reduce Operational Costs
Large language models allow for saving costs by automating many quite labor-intensive processes. Having powerful LLMs tailored to their business needs, companies can cover the rising number of analytics, content marketing, and customer service tasks with the same or even fewer staff.
Future-proof the Business
Entering new markets or industry segments inevitably means dealing with more data and establishing new operations. With custom AI products in active use, scaling the company is far more stable and sustainable because AI models are by default meant to handle large volumes of data, not losing performance quality but only getting better at producing valuable insights.
Our LLM Development & LLM Training Services
We at Onilab offer a whole range of large language model development services both for companies wanting to fine-tune and integrate a readily available LLM and those with an ambition to build their own LLM.
- LLM ConsultingCome to us with any LLM-related idea, and together, we'll plan how to bring it to life. Our experts in machine learning, deep learning, natural language processing, data science, and software development will offer the best pathway to achieving your business goals with the help of large language models. We'll assess the data and computational resources needs, then outline the project duration and budget.
- LLM Training & Fine-TuningThe most popular LLM service is fine-tuning well-established pre-trained models such as GPT, PaLM, or Llama. We take foundation models and train them on client data and other domain-specific datasets, customizing LLMs to concrete use cases. We also take on finding and preprocessing data, setting data storage, and ensuring data security.
- LLM Model IntegrationReady-made and custom large language models can be seamlessly connected with many other business applications to boost loads of language-related tasks. We'll embed an LLM into your existing systems, such as CRMs, CMSs, eCommerce platforms, virtual assistants, and tools for marketing automation, project management, document processing, financial analysis, etc.
- LLM-powered Apps DevelopmentSome clients need custom large language model solutions with unique features and handy interfaces for their teams or customers. In such cases, we not only train a model but also develop full-fledged LLM solutions: customer service chatbots/assistants, predictive analytics tools, and more.
- Large Language Model DevelopmentAn LLM made from the ground up has three significant advantages: it's fully geared for your tasks, it leverages your data, and it guarantees you complete control over sensitive data. Our artificial intelligence pros will select a proper model architecture, prepare data, and train a powerful language model.
- LLM Support & Maintenance ServicesIt's one of the indispensable large language model services since LLMs need ongoing support to maintain optimal performance. We'll monitor and adjust your LLM to avoid biases and hallucinations, keep the outputs accurate and relevant, and adapt the tool to evolving data and changing use cases.
We at Onilab offer a whole range of large language model development services both for companies wanting to fine-tune and integrate a readily available LLM and those with an ambition to build their own LLM.
LLM Consulting
Come to us with any LLM-related idea, and together, we'll plan how to bring it to life. Our experts in machine learning, deep learning, natural language processing, data science, and software development will offer the best pathway to achieving your business goals with the help of large language models. We'll assess the data and computational resources needs, then outline the project duration and budget.
LLM Training & Fine-Tuning
The most popular LLM service is fine-tuning well-established pre-trained models such as GPT, PaLM, or Llama. We take foundation models and train them on client data and other domain-specific datasets, customizing LLMs to concrete use cases. We also take on finding and preprocessing data, setting data storage, and ensuring data security.
LLM Model Integration
Ready-made and custom large language models can be seamlessly connected with many other business applications to boost loads of language-related tasks. We'll embed an LLM into your existing systems, such as CRMs, CMSs, eCommerce platforms, virtual assistants, and tools for marketing automation, project management, document processing, financial analysis, etc.
LLM-powered Apps Development
Some clients need custom large language model solutions with unique features and handy interfaces for their teams or customers. In such cases, we not only train a model but also develop full-fledged LLM solutions: customer service chatbots/assistants, predictive analytics tools, and more.
Large Language Model Development
An LLM made from the ground up has three significant advantages: it's fully geared for your tasks, it leverages your data, and it guarantees you complete control over sensitive data. Our artificial intelligence pros will select a proper model architecture, prepare data, and train a powerful language model.
LLM Support & Maintenance Services
It's one of the indispensable large language model services since LLMs need ongoing support to maintain optimal performance. We'll monitor and adjust your LLM to avoid biases and hallucinations, keep the outputs accurate and relevant, and adapt the tool to evolving data and changing use cases.
Large Language Model Use Cases
LLMs offer diverse business applications optimizing and accelerating a wealth of language-related tasks. Let's look at some of the most common use cases.
- Chatbots and Virtual AssistantsThanks to LLMs, chatbots and virtual assistants are getting better and better at interacting with customers, evolving from basic functions like order tracking and returns processing to more personalized and conversational communication and relevant upselling offers.
- Analytics ToolsLLMs process all things textual data, surfacing important patterns, trends, and insights from free-form texts, structured, and semistructured content. LLM models can lay the foundation for text analysis or sentiment analysis tools in charge of researching market reports, news articles, social media activities, or reviews to facilitate data-driven decisions.
- Content Generation FeaturesSince the recent breakthrough in producing human-like language, LLMs have become a go-to option for marketers and sales managers. For instance, LLMs can generate product descriptions, write emails, and do text summarization for large documents. Plus, they give ideas and reduce time spent on drafting blog articles and social media posts.
- Search & Recommendation EnginesLLMs, with their enhanced natural language understanding and excellent natural language processing capabilities, can analyze text-based customer data (search queries, chatbot interactions, reviews, comments, etc). They reinforce recommendation systems and search engines to deliver genuinely personalized product or content recommendations for eCommerce brands and streaming services.
- Language Translation & Localization The best large language models are terrific at translating to and from dozens of the most spoken languages, fully preserving context and taking into account other nuances. In practice, LLMs are great for quality website or app localization for different regions.
LLMs offer diverse business applications optimizing and accelerating a wealth of language-related tasks. Let's look at some of the most common use cases.
Chatbots and Virtual Assistants
Thanks to LLMs, chatbots and virtual assistants are getting better and better at interacting with customers, evolving from basic functions like order tracking and returns processing to more personalized and conversational communication and relevant upselling offers.
View MoreAnalytics Tools
LLMs process all things textual data, surfacing important patterns, trends, and insights from free-form texts, structured, and semistructured content. LLM models can lay the foundation for text analysis or sentiment analysis tools in charge of researching market reports, news articles, social media activities, or reviews to facilitate data-driven decisions.
Content Generation Features
Since the recent breakthrough in producing human-like language, LLMs have become a go-to option for marketers and sales managers. For instance, LLMs can generate product descriptions, write emails, and do text summarization for large documents. Plus, they give ideas and reduce time spent on drafting blog articles and social media posts.
Search & Recommendation Engines
LLMs, with their enhanced natural language understanding and excellent natural language processing capabilities, can analyze text-based customer data (search queries, chatbot interactions, reviews, comments, etc). They reinforce recommendation systems and search engines to deliver genuinely personalized product or content recommendations for eCommerce brands and streaming services.
Language Translation & Localization
The best large language models are terrific at translating to and from dozens of the most spoken languages, fully preserving context and taking into account other nuances. In practice, LLMs are great for quality website or app localization for different regions.
Our Artificial Intelligence Expertise
We've accumulated extensive knowledge and experience to deliver AI projects of any complexity level for SMBs and large enterprises.
NLU, NLP, & NLG
We apply the best natural language processing/understanding/generation methods, techniques, tools, and frameworks to ensure custom LLMs handle language tasks effectively.
ML & DL
We deal with a broad spectrum of AI model tasks, from creating simpler machine learning algorithms to building deep neural network architectures and training models on vast datasets.
ML Paradigms
We find an optimal combination of model training approaches, including supervised, unsupervised, and semi-supervised learning, reinforcement learning, transfer learning, few-shot learning, and in-context learning.
Fine-Tuning
We refine pre-trained large language models on smaller, industry-specific datasets to adapt LLMs to their future applications.
Data Engineering
We collect, clean, and manage data throughout the LLM development process to ensure the best model's performance after training and/or fine-tuning.
Cloud Computing
We suggest optimal private, hybrid, or public cloud platforms and plans, as well as deploy, manage, and scale LLMs in the cloud.
The Tech Stack
Python
JavaScript
R programming
TensorFlow
PyTorch
Keras
AWS
Google Cloud Platform
Docker
Kubernetes
MySQL
PostgreSQL
These are some software solutions and development platforms we most frequently choose for work.
Large Language Model Development Road Map
If you decide to create, let's say, a custom LLM-based web application with the Onilab team, the process may look this way.
Project Planning
After discussing what pain points and tasks you expect to address with an LLM, we define the work scope.
Data Preparation
The team moves on to finding, stockpiling, and carefully preprocessing datasets for subsequent training and fine-tuning.
Architecture Selection
A critical phase in LLM development is opting for/building the most suitable neural network architecture for the client's requirements.
LLM Training/Fine-tuning
Depending on the chosen path (creating a custom model or refining a pre-trained one), we either train or fine-tune it.
Hyperparameter Tuning
During the model training, we check its performance and tune hyperparameters (model's core training settings) to improve the outputs.
LLM App Development
We design and develop a custom web or mobile tool on top of the large language model or integrate it with existing systems.
Deployment
As soon as the LLM solution is ready to go live, we deploy it in the production environment.
Support & Maintainance
Our devs, data specialists, and admins keep tabs on the LLM performance, update data, and modernize the model over time.
Let's discuss your future LLM and get to work.
LLMs Are Applicable for Your Industry
Here are some industries that will benefit from the ChatGPT applications development services we provide.
E-commerce & Retail
Healthcare
Finance & Banking
Travel
Education
Manufacturing
Logistics & Transportation
Construction & Real Estate
Media & Entertainment
Why Opt for Onilab as a Large Language Model Development Company?
Innovative solutions like LLM-based business apps require a strong AI dev crew in charge throughout the whole LLM development process. Here's why it's us:
No to:
- Unrealistic promises about AI projects;
- Mediocre customization ideas and solutions;
- Subpar training and development outcomes;
- Missed deadlines and process disruptions.
Yes to:
- Detailed discussions and results delivered as promised;
- Creative approaches and ingenious solutions;
- Powerful and performant LLMs and LLM-based apps;
- Timely releases with little to no downtime.
Partner with a reliable LLM development and training company.
Related Case Studies
Take a look at some of our recent AI, web dev, and UI/UX design projects.
AI Topics on Our Blog
Read more about machine learning, AI model training, language model (LLM) development, gen AI chatbots, and other AI-related topics in a business context.
Two authors, Onilab LLC
9 min
Jul 23, 2024
Two authors, Onilab LLC
10 min
Jul 4, 2024
Two authors, Onilab LLC
12 min
Jun 18, 2024Large Language Model Development Services FAQ
What is a large language model (LLM)?
Large language models (LLMs) are advanced AI systems capable of producing human language. Being trained on vast datasets, they can identify speech patterns, comprehend word relationships, and carry out semantic analysis. These models are typically built on deep learning architectures. This particularly applies to transformer architectures, which are types of neural networks adept at handling sequential data. Thanks to that, LLMs can generate human language and text that closely mimics conversation styles.
What are the practical applications of large language models in business?
LLMs can be applied in various business domains, including content creation, sentiment analysis, and generating textual descriptions. For example, LLMs can write high-quality, engaging text for articles, blogs, product descriptions, and marketing materials. Alternatively, they help analyze customer feedback, social media conversations, and product reviews to gauge public sentiment.
What services does your LLM development company offer?
Our large language model development company specializes in a comprehensive range of large language model training services, such as LLM consulting, training, customization, model integration, LLM-powered app development, and LLM support and maintenance services.
How can you customize an LLM to my specific business needs?
We start with a robust pre-trained model to tailor a large language model (LLM) to your unique business needs. This model forms the base. We then enrich it with domain-specific data, including your own proprietary information. As a result, the LLM integrates smoothly into your business processes and handles specialized content and tasks.
A pre-trained model expedites development so that our large language model developer can more quickly implement and adapt it to your specific operational requirements. This effective method reduces both time and resource investment and provides a customized solution that seamlessly fits into your existing business ecosystem.
Can you integrate a ready-made LLM into existing business tools and platforms?
Yes, we can. We adapt the LLM to work in line with your current systems, such as CRMs, CMSs, or any other specialized software in your tech stack. Our integration aims to enhance your existing workflows, adding value without disrupting your operations. We connect the LLM with your tools to facilitate more efficient data processing, improved customer interactions, and smarter decision-making across your platforms.
How much time does it take to train an LLM?
It all depends on the model's functionality and the project's specific needs. Training for basic LLM development services could take a few weeks to a couple of months. However, more complex model functionality may require more time, reaching several months or more. Here is what we take into account when estimating the timeframes:
- the amount of data to be processed;
- the complexity of the tasks the LLM is being trained for;
- the computational resources available.
It's advisable not to rush into things without meticulously planning. The model should provide unsurpassed functionality and meet the desired outcomes.