Our LLM development services are designed to help you leverage the full potential of large language models, tailored specifically to your industry and objectives.
From enhancing model performance with your proprietary data to seamlessly integrating LLMs into your existing systems, we provide end-to-end solutions that ensure your AI initiatives deliver impactful, reliable results.
Here’s a closer look at what we offer:
Fine-tuning
We refine pre-trained Large Language Models (LLMs) using your proprietary data, enhancing performance for your specific domain and tasks.
Prompt engineering
Our experts craft precise prompts to maximize LLM effectiveness for your applications without modifying the base model.
Domain-specific Large Language Models (LLMs) creation
We develop specialized LLMs from the ground up for industries requiring deep, focused expertise.
Integration services
We seamlessly incorporate Large Language Models (LLMs) into your existing systems and workflows, ensuring smooth operation and maximum efficiency.
Performance optimization
Using techniques like quantization and pruning, we optimize Large Language Models (LLMs) for deployment on your target hardware.
Ethical AI implementation
We prioritize responsible AI development, implementing safeguards against biases and ensuring data privacy.
Scalability solutions
Our team designs solutions that grow with your business, from proof-of-concept to enterprise-wide deployment.
Ongoing support and maintenance
We provide continuous model updates, performance monitoring, and technical support to keep your
Large Language Models (LLMs) are used across various industries because they can understand and generate human language and analyze data.
Here are some of the most common use cases for LLM applications:
General-purpose LLMs are large language models trained on a vast and diverse range of text data, enabling them to perform a wide variety of language tasks without being specifically optimized for any single application.
These models can understand and generate human-like text across multiple domains and can be adapted to various tasks through fine-tuning or prompt engineering.
Examples of general-purpose LLMs include:
These models can be used for various tasks such as text generation, translation, summarization, question-answering, and more. They serve as a foundation that can be customized or fine-tuned for specific applications, which is likely what your company offers as a service.
General-purpose LLMs, such as GPT-3, BERT, and Claude, are trained on diverse data across multiple domains, enabling them to perform a wide range of language tasks with broad knowledge.
Domain-specific LLMs are trained or fine-tuned on data from a particular field, making them highly specialized in understanding and generating text within that domain.
General-purpose LLMs offer broad applicability but may require fine-tuning for specialized tasks, while domain-specific LLMs provide greater accuracy and relevance within their field but have limited versatility outside it. Domain-specific models excel at understanding specialized terminology and can be more efficient for targeted applications.
These techniques allow for customizing LLMs to specific use cases while balancing factors such as performance, efficiency, and resource requirements.
Addepto brings a unique blend of expertise and flexibility to building LLM-powered applications, making us an ideal partner for businesses looking to harness the full potential of Generative AI.
Here’s why partnering with Addepto sets you up for success:
By choosing Addepto, you’re selecting a partner with the flexibility, expertise, and innovation to create a robust LLM application that evolves with your business, leverages the best AI technology available, and supports your long-term goals.
With a proven track record across diverse industries and a focus on cost-effective innovation, we don’t just provide LLM solutions—we become your dedicated ally in harnessing AI’s full potential for your business.
Check out our Case Studies
ContextClue, developed by Addepto, transforms enterprise knowledge management by going beyond traditional data analysis.
Going beyond traditional text analysis, this versatile tool seamlessly handles multiple data formats – from PDF documents and images to SQL databases, BI dashboards, and spreadsheets.
What sets ContextClue apart is its ability to serve as a comprehensive knowledge base assistant, understanding context and relationships across all your data sources.
Through advanced Generative AI solutions, it doesn’t just analyze data – it becomes your organization’s memory, capable of answering complex queries, identifying patterns, and delivering insights from your entire information landscape.
Organizations can maintain complete control over their data by deploying ContextClue on their private infrastructure. This secure large language model deployment model ensures sensitive information remains protected while delivering powerful analytical capabilities.
The platform’s extensive customization features make it an ideal foundation for building specialized enterprise applications. By utilizing ContextClue as a development accelerator, organizations can rapidly deploy tailored Generative AI solutions, significantly reducing both development time and resource investment compared to building from scratch.
Ready to transform your data analysis capabilities? Contact Addepto to explore how ContextClue can drive innovation in your organization.
Discover more: ContextClue
The most popular applications of LLM in Healthcare:
The most popular applications of LLM in Finance and Insurance:
The most popular applications of LLM in Legal:
The most popular applications of LLM in Retail:
They didn't just "do requirements", they investigated our needs and advised on the best processes to achieve our objectives. They were mindful of costs and gave suggestions that would be great long term solutions. But most of all, they felt like a part of our team!
Addepto delivered a platform with AI models that resulted in time savings. The team addressed the client's core problem and went above and beyond to understand the client's tech stack. Their technological expertise and state-of-the-art technologies complemented their business-oriented approach.
Communication with the Addepto team was easy and fast. Continuous monitoring and measurement of our workflow helped to identify areas for improvement. Their approach from the start allowed us to improve the product taking into account all our requirements. The obtained result fully satisfied our company.
Work was progressing well and both teams were in constant communication on Slack. Project management was conducted by the team leader, most of the issues were consulted at online meetings.
Domain-specific LLMs are trained on industry-relevant data, enabling them to understand specialized terminology and context better. This leads to more accurate and contextually aware outputs, especially in fields with unique jargon or complex concepts.
By automating routine tasks and providing more accurate insights, domain-specific LLMs can significantly improve operational efficiency. This allows professionals to focus on more complex decision-making processes, ultimately saving time and resources.
While there’s an initial investment in developing custom LLMs, they can be more cost-effective in the long run. These models can handle increased workloads without a proportional rise in expenses.
Domain-specific LLMs allow businesses to offer more sophisticated, tailored services that address the unique challenges of their industry. This customization can set companies apart from competitors who rely on general-purpose AI solutions, potentially leading to improved customer experiences and increased market share.
An LLM (Large Language Model) is an advanced AI system trained on vast amounts of text data, capable of understanding and generating human-like text. It can benefit your business by automating complex tasks, enhancing customer service, improving decision-making processes, and streamlining operations. LLMs can handle everything from content creation and data analysis to personalized recommendations and intelligent automation, potentially increasing efficiency and unlocking new capabilities across various departments.
A custom LLM is tailored specifically to your business needs, industry, and data, unlike off-the-shelf solutions that offer general capabilities. Custom LLMs are trained on your proprietary data and industry-specific information, allowing them to understand your unique terminology, processes, and context. This results in more accurate, relevant, and actionable outputs. Custom LLMs can be integrated seamlessly into your existing workflows and systems, providing a competitive edge by addressing your specific challenges and opportunities in ways that generic AI solutions cannot.
The development and implementation timeline for a custom LLM solution can vary depending on the complexity of your requirements and the scale of implementation. With an experienced partner, the development process can be significantly accelerated thanks to their fluency in implementing AI according to best practices and their ability to combine state-of-the-art AI models with custom techniques and approaches.
The ROI from implementing an LLM can be substantial, though it varies based on the specific application and your business context. Typically, businesses see returns in the form of increased efficiency, cost savings from automation of routine tasks, and improved decision-making leading to better business outcomes. Additionally, LLMs can open up new revenue streams through enhanced products or services.
Yes, LLMs can be seamlessly integrated with your existing software and systems. We design our LLM solutions with interoperability in mind, using standard APIs and protocols to ensure smooth integration with your current tech stack. Whether you’re using CRM systems, ERP software, data analytics platforms, or custom in-house solutions, we can develop connectors and interfaces to allow the LLM to interact with these systems. This integration enables the LLM to access relevant data, enhance existing processes, and provide insights within your familiar work environments. Our team will work closely with your IT department to ensure a smooth and secure integration process.
Large Language Models (LLMs) are advanced AI systems that excel in Generative AI and Natural Language Processing (NLP), enabling them to understand and generate human-like text. These models are trained on extensive datasets, allowing them to learn the nuances of language and context.
Key Features of Large Language Models (LLMs):
Large Language Models (LLMs) can be effectively combined with machine learning (ML) to enhance various applications and improve overall performance.
This integration leverages the strengths of both technologies, allowing for more sophisticated data processing and decision-making capabilities: