Custom LLM Development Services Company

Start a Project

Appraised by
CMMI Maturity Level 3

Awarded as
Smart CEO For Startup 50 By Smart CEO

Ranked 5th in
ET RISE Top MSME

Deloitte Technology Fast 50 India

Global Clutch
Awards 2024

ISO/IEC
27001 Certified

4.9★★★★★ Clutch Review 4.5★★★★★ Google Review

The world’s top brands trust us

Customer Success Story

Arcos

Arcos upgraded its eCommerce experience with Webkul’s solutions, making product pages more interactive and clear.

Palmarosa

Palmarosa streamlined catalog updates with Webkul’s custom LLM service, creating multilingual product descriptions easily.

CPP Brand

CPP Brand used LLM-powered automation from Webkul to generate SEO-rich product listings, saving time and boosting visibility.

LLM’s we can train and fine-tune according to your needs

ChatGPT

ChatGPT, developed by OpenAI, is an advanced language model based on the GPT architecture. It is specifically trained to engage in conversation interactions with users, providing contextually relevant and coherent responses.

Llama

LLaMA, which stands for Learning Language Model for Assistance, is a language model developed by Meta. It is designed to assist users in completing tasks and answering questions.

Gemini

Gemini is a conversational AI model developed by Google, specifically designed for multi-turn dialogue understanding and generation. It optimizes for handling conversation exchanges involving multiple turns and diverse topics.

Mistral AI

Known for its focus on portability, transparency, and cost-effective design, Mistral AI offers a comprehensive approach to utilizing LLMs.

Anthropic

Anthropic aims to create AI systems that can understand and generate human-like language, with a focus on safety, transparency, and accountability.

Cohere

Cohere is a language model designed to understand and respond to user input, using a unique approach that combines multiple AI models and techniques.

Why Choose Webkul’s Custom LLM Development Services

Improved Accuracy

By fine-tuning on domain-specific data, custom LLMs achieve higher accuracy and relevance in their responses.

Enhanced Efficiency

Custom LLMs streamline workflows by automating routine tasks, allowing human workers to focus on more complex and strategic activities.

Better User Experience

Custom LLMs can be designed to understand and generate contextually relevant and user-friendly responses, significantly enhancing the user experience.

Cost Savings

By automating processes and improving accuracy, custom LLMs help reduce operational costs.

Adaptability

Custom LLMs can be continuously updated and fine-tuned to adapt to new data, trends, and user feedback, ensuring they remain relevant and effective over time.

Scalability

Custom LLMs can be scaled to handle increasing amounts of data and interactions, making them ideal for growing businesses.

Industries using Custom LLM’s

AI-Powered Development Trending

We are pioneers in an AI-first approach to software development, leveraging Large Language Models (LLMs) to build smarter and faster.

By aggressively utilizing state-of-the-art AI coding agents like GitHub Copilot, Claude, and Gemini, we automate module generation, app creation, and custom development.

Combined with our expertise in fine-tuning LLMs for specific business needs, this massively reduces your project costs and accelerates your go-to-market timeline.

Custom LLM for Retail and E-commerce

Custom LLMs can help stores learn what customers like and recommend products they might enjoy. This can make shopping more fun and convenient for everyone. They can also help stores manage their stock better, so they don’t run out of popular items. Both eCommerce stores and physical retail stores can immensely benefit from Custom LLM’s.

Custom LLM for Education and Training

Imagine programs that can create personalized learning materials for each student, or handle administrative tasks like grading! Custom LLMs, integrated with LMS can free up teachers’ time to focus on what they do best – helping students learn.

Custom LLM for Travel and Hospitality

Custom LLMs can be integrated with Hotel Management Software. They can personalize travel recommendations for each customer, boosting satisfaction and sales. These models can also streamline operations, allowing businesses to handle inquiries and bookings more efficiently, leading to improved customer service and cost savings.

Custom LLM for Human Resources

Custom LLMs can help companies find the best candidates for jobs and keep employees happy. They can automate routine tasks like scheduling interviews, and even analyze data to help improve employee performance.

Custom LLM for Real Estate

Finding the perfect home just got easier! Custom LLMs can help agents understand what buyers are looking for and suggest the best properties. They can also provide valuable insights into the market, so everyone can make informed decisions.

Custom LLM for Legal and Compliance

The legal industry can utilize custom LLMs to improve the efficiency, accuracy, and accessibility of legal services. These models can assist in document review, legal research, and case analysis, saving time and reducing costs.

LLM’s We Can Train and Fine Tune

Supervised Fine-Tuning (SFT)

In supervised fine-tuning, the pre-trained LLM is further trained on a labelled dataset relevant to the target task.

Reinforcement Learning from Human Feedback

RLHF involves training the LLM by incorporating feedback from human interactions. This technique refines the model’s responses based on human preferences and behaviour.

Direct Preference Optimization (DPO)

DPO is a method where models are directly optimized based on user preferences without relying on intermediate reward models.

Few-Shot Fine-Tuning

Few-shot learning enables the LLM to learn and perform new tasks with only a few examples. This technique leverages the pre-trained model’s extensive knowledge base.

Parameter-Efficient Fine-Tuning (PEFT)

PEFT techniques aim to reduce the number of parameters that need to be updated during fine-tuning. This can be done by freezing most of the pre-trained model’s parameters.

Task-Specific Fine-Tuning

Fine-tuning the LLM on a dataset specific to the target task, such as sentiment analysis, question answering, or language translation.

Client Testimonial

“The combination of this fixed rate plugin and vendor marketplace plugin perfectly meets our needs that simplified buyer’s shipping fee calculation. Just it will be even greater if Webkul could provide calculated fee per vendor on shipping cart and with API.”

Reviewed by 1517573861348

Casper Wang

Director Of Development

HTC Vive

FAQ

How is a custom LLM different from ChatGPT APIs?

A custom LLM is trained on your business data, making it more relevant to your workflows and use cases, while ChatGPT APIs are general-purpose and may not fully align with your domain needs.

What is fine-tuning in LLM development?

Fine-tuning is the process of training a base model with your business data so it understands your terminology, tone, and workflows more accurately than a general model.

How can a custom LLM benefit my business?

A custom LLM can benefit your business by automating tasks, improving customer interactions, and providing insights using your internal data, which helps reduce manual work and increase efficiency.

What platforms can LLMs be deployed on?

LLMs can be deployed on cloud platforms, on-premise servers, or hybrid environments, allowing businesses to choose based on scalability, security, and performance needs.

What is RAG in custom LLM development?

RAG in custom LLM development connects the model with internal or external data sources, allowing it to fetch relevant information and generate accurate responses.

What is tokenization in LLM development?

Tokenization is a method used in LLM development that breaks text into smaller units such as words or subwords, allowing the model to process and understand language effectively.

We are ready to work and build on-demand solution for your business.

Start a Project