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Our Valuable Clients
Space-O partners with global industry leaders to develop versatile LLMs for your business requirements.
With our deep expertise in large language model development, we build high-performance solutions designed for intelligent, human-like interactions that bring innovation and efficiency to your business operations.
Our LLM experts understand your vision and plan a step-by-step strategy for adopting, developing, and deploying language models. We cover everything from developing PoC (Proof of Concept) to overviewing proprietary data and roadmap recommendations.
We develop LLMs from scratch instead of adapting pre-built universal-purpose models for maximum customization and efficiency. We perform extensive data preparation, model training, and parameter customization for your business.
In suitable cases, we adapt pre-trained models such as GPT, BERT, Llama, or PaLM and retrain or customize them to suit your requirements. We deliver precise and contextually relevant outputs for versatile use cases such as Generative AI and sentiment analysis.
Along with model development, our AI developers also create LLM-powered software solutions for your business. Whether it’s developing AI chatbots, content generators, virtual assistants, speech recognition systems, or sentiment analysis tools, we have you covered.
Our language model development services include seamlessly integrating language models into ongoing business processes, regardless of business size or industry. We prioritize a well-planned integration procedure that induces minimal system downtime.
We closely observe your language model or LLM-powered solution after deployment and provide ongoing support. If necessary, we perform various maintenance tasks, such as model monitoring, model updates, data retraining, and risk management.
Discover how our focused approach delivers measurable improvements in operational efficiency, customer support, and cost savings.
Our team of 80+ AI/ML experts uses advanced technology to develop machine learning algorithms for LLMs that enhance customer support and streamline operations.
We design language models that address the unique challenges of your sector, boosting response accuracy and reducing query resolution times.
Our agile LLM development process ensures quick implementation, followed by ongoing refinements to keep your solution ahead of evolving business demands.
We enforce rigorous security protocols and adhere to all applicable industry standards to ensure the safety of your sensitive business and customer data.
Space-O’s LLM developers use diverse AI technologies and machine learning techniques, including NLP (Natural Language Processing) and LLM, to help you create custom models.
Programming languages
Frameworks and Libraries
Data Collection, Management, and Processing
LLM Model Integration
Cloud Platforms
Database Systems
Client Testimonial
We wanted to enhance our customer support process. Space-O Technologies quickly understood the assignment and developed a language model for our chatbot. Thanks to this, our chatbot’s response accuracy increased by 47%—and the average query resolution time dropped by 40%! Sure, there may have been a few hiccups along the way, but their clear communication and consistent support took care of those in no time. We’re more than happy with the services provided by Space-O Technologies.
Adam Hefner
Founder, GrowthHive Agency
For a dedicated team of 6, LLM development can start as low as $75,000 for 1–10 billion parameter models, while models exceeding 50 billion parameters may cost up to $1.5M or more. Key cost drivers include R&D, data collection, model fine-tuning, and training infrastructure.
Yes, ChatGPT is one of the most popular language models. It’s developed by OpenAI and is based on the combination of NLP, reinforcement learning, and neural networks. We can customize ChatGPT by training it with our datasets and integrating it into applications.
Large language models can have some limitations, which include their dependency on high-quality training data, high computational resource demands, challenges in handling biased information or misinformation in the data, and, in some cases, the inability to understand context beyond training.
Yes. We can integrate LLMs into existing AI models for tasks like text analysis and customer interaction. Such an approach allows businesses to enhance current workflows and systems without investing in developing a specialized solution from the ground up.
Developing and deploying an LLM solution can take several weeks to a few months, depending on the complexity of the project, data preparation requirements, model architecture in use, and customization level.
Python
JavaScript
Tensorflow
Pytorch
Hugging Face Transformers
GPT
BERT
LLaMA
Apache Hadoop
Apache Spark
Docker
Kubernetes
Amazon Web Services (AWS)
Microsoft Azure
Google Cloud Platform (GCP)
MongoDB
PostgreSQL
GitHub
GitLab
