Large Language Model Development
We have AI engineers who are experts in natural language processing (NLP) and machine learning (ML). They are proficient in large language model development, which helps meet clients’ specific needs and fine-tune the training model to generate high-quality content and data.
SERVICES
Our Large Language Model Development Services
Large language model has a potential to revolutionize various industries by automating and optimization workflows.
We can help you develop a deep learning model that can generate natural language test by predicting the next word in the sequence of words. We can also train or fine-tune the model on a large dataset so it can learn patters and structures of language.
Before developing an AI-powered model tailored to our clients’ specific needs, we provide guidance on the most efficient LLM development path to keep costs and time to a minimum. Our aim is to assist in formulating an implementation plan and strategy for the LLM development process.
Our developers can help with integration of LLM models with your existing content management systems or product. We check for model performance and make sure LLM model is fully-trained to give an accurate result for a specific task.
Our team offers ongoing support and maintenance services to ensure the NLP-based solution consistently delivers accurate results. We monitor and optimize the model’s performance to enable self-learning capabilities, allowing for continuous improvement of outcomes.
LLM Model Development
We can help you develop a deep learning model that can generate natural language test by predicting the next word in the sequence of words. We can also train or fine-tune the model on a large dataset so it can learn patters and structures of language.
LLM Model Consulting
Before developing an AI-powered model tailored to our clients’ specific needs, we provide guidance on the most efficient LLM development path to keep costs and time to a minimum. Our aim is to assist in formulating an implementation plan and strategy for the LLM development process.
LLM Model Integration
Our developers can help with integration of LLM models with your existing content management systems or product. We check for model performance and make sure LLM model is fully-trained to give an accurate result for a specific task.
LLM Model Support & Maintenance
Our team offers ongoing support and maintenance services to ensure the NLP-based solution consistently delivers accurate results. We monitor and optimize the model’s performance to enable self-learning capabilities, allowing for continuous improvement of outcomes.
OUR FEATURED WORK
Our Artificial Intelligence Related Work
Writeback
Social. An AI-powered one-of-a-kind digital experience curated for sending and receiving letters.
SmartEats
Nutrition. It is an AI based app designed to enable users to add real-time food recognition & typing free food tracking.
Our Proud Clients
Over the past decade, we have developed creative solutions for Fortune 500 companies, small businesses, and technology startups. Check out how we helped them transform their corporate structure.
PROCESS
Our Large Language Model Development Process
Our developers undertake a meticulous approach to understand better your company’s objectives and how to create an engaging, user-friendly, and smooth Large Language Model powered solutions for your target audience.
Problem Definition
Building AI-powered products and services requires answering some crucial questions. The model is developed to solve a specific problem and for an intended use case. We help in the process of planning the AI model suitable for your needs.
Data Collection, Training and Evaluation
Our AI experts work with you to analyze how the data was collected, sampled, and labeled. Then we check its application in the real world and find any gaps in the data we need to fill. We also protect data privacy during the data collection and training process.
Model Design and Evaluation
As we work on the model design, we work on debugging and improving the model design. Our goal is to reduce model limitations and frictions for when it is ready to be deployed.
Deployment
At the time of model deployment, we check for its behavior and outputs. Our AI team is experienced and hence efficient in identifying any possible failures of the model that can occur during the deployment and launch.
Deployment & Maintenance
We optimize and deploy the configuration process. We provide ongoing support and upgrades for the delivered product to maintain standards and boost productivity.
Our Large Language Model Development
expertise to build flawless AI solutions
1. Machine Learning
Our developers create engaging bots that carry out standard, principles-based procedures via the user interface, simulating human contact with digital programs. Accord.Net, Keras, Apache, and several other technologies are part of our core stack.
2. NLP – Natural Learning
We develop Natural Language Processing (NLP) applications that assess structured and semistructured content, including search queries, mined web data, business data repositories, and audio sources, to identify emerging patterns, deliver operational insights, and do predictive analytics.
3. Deep Learning (DL) Development
We build ML-based DL technologies to build cognitive BI technology frameworks that recognize specific ideas throughout processing processes. We also delve through complex data to reveal various opportunities and achieve precise perfection using ongoing deep-learning algorithms.
4. Fine Tuning
Fine-tuning AI models on a smaller dataset can tailor them to a specific task, which is commonly referred to as transfer learning. By doing so, computation and data requirements for training a top-notch model for a particular use case can be reduced.
TOOL & TECHNOLOGY
Our Large Language Model development tech stack
Our engineers recommend the best technology stack to develop perfect LLM based solutions for business.
Edward Louis
Director of Technology, Trapeze
John D
CEO, Aisle24
George Thompson
Sr. VP, Hawaii Revealed
Michael Sedigh
CFO, 3M Corporation
David Singh
VP Strategy and Operations, Kira Talent
Lucie Lalumiere
President & CEO, Interactive Ontario
INDUSTRIES
We serve you with
We have been creating innovative industry-based solutions that speed up digital growth.
SaaS
Travel
Fintech
Retail
Fitness
Healthcare
FAQ’s
LLM based solutions development
What is LLM or Large Language Models?
Large Language Models (LLMs) are a class of artificial intelligence (AI) models that are designed to process and analyze human language at a massive scale. They are typically trained on massive amounts of text data, using techniques such as deep learning, to learn the patterns and relationships within language.
What are the types of Large Language Models?
The most popular types of LLMs include transformer models, recurrent neural network (RNN) models, and convolutional neural network (CNN) models. Our team has extensive experience working with a variety of Large Language Models include OpenAI’s GPT-3, Google’s BERT, Facebook’s RoBERTa, and Google’s T5.
What is the timeline to develop an LLM?
The timeline to develop a LLM depends on various factors, such as the complexity of the task, the size of the dataset, and the computing resources available. Developing a LLM model can range from a few days to several months or even years.
For example, developing a small LLM for a simple task, such as sentiment analysis on a small dataset, may only take a few days to a week. However, developing a large-scale LLM model for a complex task, such as natural language translation, may require a team of researchers several months or even years to develop, train, and optimize.
It’s worth noting that the development of a LLM model is an iterative process, involving multiple rounds of training, validation, and fine-tuning. Therefore, the timeline may vary depending on the results of each iteration and the level of accuracy needed for the task at hand.
What are some common applications of Large Language Models?
LLMs are used in a variety of language-related applications, such as natural language processing, sentiment analysis, chatbots, language translation, text summarization, and question-answering systems.
How AI In Mobile Apps Change Future Adaption Of Technology?
