LLM development services
Creating large language models(LLMs) is a challenging task, our team can make this process smooth and efficient. Whether you’re looking to scale an existing model or develop a custom one from scratch, our experienced LLM developers are ready to assist with any requirement.
LLM development services our company provides
Our LLM development process starts with an in-depth assessment of your business needs, industry landscape, and specific use cases. With expertise in LLM-powered apps, as well as NLP and machine learning, we work closely with our clients to create a personalized strategy that aligns with your objectives.
We develop intelligent AI-driven solutions that use the power of LLMs to enhance business processes, communication, and innovation. From chatbots and virtual assistants to sentiment analysis tools and speech recognition systems, we create personalised software to fit your unique needs.
Our team specializes in fine-tuning and cutting-edge techniques like Low-Rank Adaptation (LoRA), Quantized LoRA (QLoRA), and Reinforcement Learning from Human Feedback (RLHF) to optimize large language models for domain-specific accuracy, computational efficiency, and ethical alignment.
Our engineers can enhance your LLM’s accuracy and relevance with retrieval-augmented generation. Our RAG services are ideal for chatbots, knowledge management, and enterprise AI applications, RAG improves response precision while reducing hallucinations.
We specialize in integrating large language models into existing enterprise platforms, such as customer support systems, content management tools, and internal databases. Our team provides a smooth and efficient integration process with minimal disruptions to ongoing operations.
Empower your business with AI
Advanced natural language processing
Our team develops LLM-powered apps with NLP models that excel in understanding, analyzing, and generating human language, making them ideal for applications such as chatbots, text summarization, and intelligent search.
AI-driven machine learning solutions
With expertise in ML frameworks and such advanced training techniques as supervised, unsupervised, and reinforcement learning we create intelligent solutions that provide stable performance.
Optimized transfer learning for LLMs
We specialize in developing custom LLM-powered applications using transfer learning. By fine-tuning pre-trained models, we can adjust AI solutions to your industry-specific tasks, for more accurate and relevant language-based applications.
Adaptive In-context learning
Language models can be continuously trained and refined with updated data, allowing them to adapt dynamically to new contexts, industries, and user requirements.
Efficient few-shot learning
Using techniques like Meta-Transfer Learning, Meta-Learning Toolkit, and Reptile, we let LLMs learn new tasks with minimal data, making this approach ideal for industries where labeled data is scarce or expensive.
Sentiment analysis & language Insights
We develop sentiment analysis solutions to provide AI-driven insights that help businesses understand customer feedback, brand perception, and market sentiment more effectively.
CLIENT SUCCESS STORIES:
Benefits of LLM-powered application development:
Automate repetitive tasks with LLMs to free up valuable employee time. Redirect those saved hours toward strategic initiatives that drive business growth.
Leverage the adaptability of large language models to support diverse tasks across departments, users, and applications. Optimize workflows with customized AI-powered solutions.
LLMs process large amounts of data to uncover meaningful insights that lead to more informed business decisions. AI can help analyze market trends and improve data-driven strategies.
Our custom LLM development process:
We start by identifying your requirements, business challenges, and the specific tasks your LLM will handle. By the end of this discovery phase, we establish clear objectives and success criteria to guide development.
We clean, refine, and annotate your training data—resolving inconsistencies, managing missing values, and labeling data appropriately. The result is a high-quality dataset optimized for effective model training.
Based on your needs, we select the most suitable LLM, then train and fine-tune the model using your curated data so it's performance is outstanding. This phase includes multiple cycles of testing and refinement to meet target benchmarks.
After rigorous testing, we deploy your LLM on a scalable infrastructure. Our team manages hosting, maintenance, and updates to keep your model running efficiently. As your business evolves, we continuously improve and retrain the model to maintain peak performance.
The tech we use:
OpenAI
OpenAI provides models like GPT (Generative Pre-trained Transformer), which excels in natural language understanding and generation. These models can be used to build everything from chatbots and content generators to code assistants and data analyzers. OpenAI's API is incredibly versatile, allowing easy integration into web and mobile applications.
Meta AI
MetaAI's powerful tools and frameworks include open-source contributions like a leading deep learning library - PyTorch, state-of-the-art open-source model Llama, various pre-trained models for translation, content generation, recommendation systems, and advancements in AI-driven augmented and virtual reality applications.
Anthropic
Anthropic produces tools and models, such as Claude, that specialize in natural language processing tasks like content generation, summarization, and question answering. These tasks are similar to conversational agents but optimized for safer and more controllable interactions, where outputs align with user intent while minimizing risks.
Cohere
Cohere is an AI platform that provides powerful natural language processing (NLP) models through an API. It specializes in large-scale language models for tasks like text generation, summarization, translation, and question-answering.
Google Vertex AI
Vertex AI is a fully managed, unified AI development platform for building and using generative AI. Access and utilize Vertex AI Studio, Agent Builder, and 160+ foundation models. Build generative AI apps quickly with Gemini, train, test, and tune ML models on a single platform, and accelerate development with unified data and AI.
Vercel AI SDK
The AI SDK is the TypeScript toolkit designed to help developers build AI-powered applications with React, Next.js, Vue, Svelte, Node.js, and more. AI SDK Core offers a unified API for generating text, structured objects, and tool calls with LLMs.AI SDK UI provides a set of framework-agnostic hooks for quickly building chat and generative user interface.
LlamaIndex
LlamaIndex is a popular open-source data framework for connecting private or domain-specific data with LLMs. It specializes in RAG and smart data storage and retrieval. LlamaIndex can connect data of any type - structured, unstructured, or semi-structured - to LLM, index and store the data, combine the user query and retrieved query-related data to query LLM and return a data-augmented answer.
Milvus
Milvus is an open-source vector database designed for high-dimensional data management and similarity search. It supports efficient storage, indexing, and retrieval of vectors, making it ideal for AI applications like recommendation systems, natural language processing, and image recognition.
Qdrant
Qdrant is an advanced vector search engine and database optimized for high-dimensional data. It facilitates efficient similarity search, making it ideal for AI-powered applications like recommendation systems, image recognition, and natural language processing.
Pgvector
Pgvector is an open-source PostgreSQL extension that provides efficient storage and similarity search for high-dimensional vector data. With support for indexing methods such as IVF, HNSW, and L2 distance calculations, pgvector delivers robust and scalable vector search functionality within a familiar relational database environment.
DeepSeek
DeepSeek is an advanced search and retrieval technology that uses deep learning to improve search accuracy and relevance, enabling faster and more intelligent searches across large datasets. Ideal for enterprise applications, it streamlines data retrieval, helping businesses find the most pertinent information quickly and efficiently.
The power of large language models across industries
Our AI specialists develop LLM applications that drive efficiency and innovation.
Chatbots
Unlike traditional scripted chatbots, LLM-based assistants understand natural language and are capable of dynamic and meaningful interactions. They provide instant, relevant responses to customer queries, improving satisfaction, reducing wait times, and lowering support costs.
Translation
In today’s global marketplace, effective communication is key. LLMs excel at translating content across languages, additionally, they are capable of generating multilingual content for marketing, product descriptions, and documentation.
Content
Virtual influencers are reshaping digital engagement. LLMs can generate human-like dialogue, social media posts, and story-driven content, creating an authentic and compelling online presence while maintaining brand consistency.
Suggestions
LLMs can analyze user behavior, past purchases, and preferences to provide detailed product and content recommendations. Integrated into websites, emails, or apps, these recommendations enhance user experiences and boost conversions.
Scriptwriting
The entertainment industry is embracing AI to craft compelling scripts for films, TV shows, and video games. LLMs assist in generating storylines, dialogue, and creative ideas, speeding up the writing process and inspiring fresh narratives.
Code
LLMs streamline software development by generating code snippets, suggesting improvements, and even creating programs based on project requirements. Developers can use AI assistance to boost productivity and reduce errors.
Data retrieval
From enterprise databases to web searches, LLMs improve search accuracy by understanding context and delivering precise, relevant results. Whether retrieving documents, research papers, or business insights, AI-driven search enhances efficiency.
Summarization
With the vast amount of information available today, LLMs help professionals save time by summarizing lengthy reports, research papers, and articles, making key insights easily accessible without the need to read full documents.
What our clients say:
Our LLM-powered app development philosophy
- Performance-oriented process
We focus on delivering measurable outcomes, so that each stage of development enhances model efficiency and aligns with your business objectives.
- Commitment to excellence
Transparency and integrity are at the heart of our work. We keep you informed at every step, maintaining clear communication and a professional approach throughout the project.
- Custom AI solutions
We take the time to understand your operations, challenges, and goals, crafting a custom LLM solution that seamlessly integrates with your business needs.
In partnership with:
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