Our Large Language Models (LLMs) development services are already driving success across numerous active projects. With teams ready to be onboarded within just two weeks, you can quickly start delivering top-quality software at speed.
LLM development solutions we offer
LLM Model Development
We train and refine LLMs using TensorFlow and PyTorch. Customized architectures help automate workflows and improve content generation accuracy.
Smooth LLM Integration
Bringing AI capabilities into your infrastructure is simple with the right tools. Our use of Docker and Kubernetes ensures LLMs are deployed efficiently across platforms.
AI Data Annotation
For machine learning success, clean, curated data is key. Our data annotation services using spaCy and Prodigy ensure optimal model training and high performance.
LLM Training and Services
Achieve top-notch results by fine-tuning your models. Our use of advanced frameworks like Hugging Face and OpenAI GPT guarantees optimized accuracy and performance.
LLM-Based Chatbot
Our LLM-powered chatbots engage customers with human-like responses. Using Rasa and Dialogflow, we build intelligent bots that understand context for smoother interactions.
NLP Solutions
Our NLP solutions turn unstructured text into valuable data. Using NLTK and spaCy, we deliver insights that enhance decision-making and streamline operations.
Why Choose Mediusware for Large Language Models Development
Offshore Talent with Aligned Timezones
Our offshore LLM developers offer the perfect balance of expertise and convenience.
With team members located nearby and overlapping work hours, we ensure smooth communication and collaboration, enabling seamless project management and faster development cycles.
Wide Range of LLM Solutions
With extensive experience in LLM development, we offer a wide range of customized solutions designed to meet your business needs.
Whether you require custom model development, integration services, or advanced AI data processing, our solutions drive innovation and deliver tangible results.
Reliable Software Development Partner Since 2015
Since our founding in 2015, we’ve consistently delivered high-quality software solutions. We’ve built a reputation as a trusted partner for organizations seeking cutting-edge AI solutions.
Our proven track record includes successful projects across both emerging technologies like LLMs and established solutions, ensuring expertise, reliability, and innovation in every engagement.
The llm ecosystem we’ve leveraged in our past work
Foundational ML & DL Frameworks
The foundational libraries and frameworks we use for building and training models across various domains.
- PyTorch
- TensorFlow
- Keras
- Apache MXNet
- JAX
- PaddlePaddle
- Chainer
NLP & Transformer Models
Powerful tools and transformer models designed for processing, understanding, and generating human language data.
- BERT (Bidirectional Encoder Representations from Transformers)
- GPT (Generative Pre-trained Transformer)
- Hugging Face Transformers
- DistilBERT
- AllenNLP
- Fairseq
- Flair
- NeMo
- Stanza
Tools for Optimizing and Accelerating Models
Libraries and hardware solutions that speed up training and inference of machine learning models, leveraging advanced computing resources.
- NVIDIA Deep Learning SDK (including cuDNN)
- CUDA (for GPU acceleration)
- TPU (Tensor Processing Units)
- DeepSpeed
- ONNX (Open Neural Network Exchange)
Reinforcement Learning & Simulation
Frameworks and environments for developing, testing, and simulating reinforcement learning agents.
- OpenAI Gym
- Ray (for scalable machine learning)
Web-enabled and Secure ML Technologies
Technologies enabling the deployment of machine learning models on the web, along with privacy-preserving solutions.
- TensorFlow.js
- PySyft
ML Lifecycle Management & Additional Tools
Tools for managing the end-to-end machine learning lifecycle, from data processing and model tracking to recommendation systems.
- Fast.ai
- MLflow (for lifecycle management)
- Deeplearning4j
- Transformers4Rec (for recommendation systems)
- Dask (for parallel computing in Python)
Key facts to know about large language models
Large Language Models (LLMs) are highly versatile AI systems that excel at a wide range of language-related tasks. They can generate, summarize, and translate text, as well as analyze sentiment. With applications in natural language understanding, content generation, and conversational AI (like virtual assistants), LLMs are also transforming customer support automation and many other industries.
Digital. Outcomes. Delivered.
Initial consultation
We begin by understanding your business, project requirements, goals, budget, and timeline. This also helps us identify the specific skill sets you need for your LLM project.
Team setup and project planning
Next, we handpick the right team members for the specialized roles required. A dedicated project manager is assigned to ensure smooth coordination, and we create a clear roadmap with resources allocated to meet your goals effectively.
Execution and progress monitoring
Once the team is onboarded, we begin the development process. While we operate autonomously, we provide regular progress updates to keep you informed. You also have the flexibility to scale or make adjustments as needed throughout the project.
Frequently Asked Questions
A Large Language Model (LLM) is a sophisticated AI system built to understand, process, and generate human language. Trained on vast datasets, LLMs excel at performing various language-related tasks such as language translation, content generation, summarization, and answering questions, among others.
