Generative AI (GenAI) Development Services
Reinvent your business operations with generative AI solutions to outpace competition.
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Adopt generative AI with proven experts
While the field of Gen AI has only recently begun to significantly impact real-world business, we recognized its potential early on. Our team of engineers has already gained substantial experience and expertise with GenAI through real-world projects. We offer consulting and development of Generative AI services, built on our team’s world class software development background.
Our generative AI development services
Consulting and strategy
Our experienced consultants work closely with your team to understand the specifics of your business and learn baout pain points. We then recommend the most suitable GenAI solutions, which can substantially optimize your business process, combining existing technologies with custom-developed components. As a result of this engagement, you can get an understanding of how with GenAI your business can achieve more, while keeping the same costs.
Custom RAG-based solutions
We develop custom GenAI solutions using Retrieval-Augmented Generation (RAG) framework that connects to your knowledge base, enriching the context for existing powerful Large Language Models (LLMs) used as the intelligent core. If you don’t have a Knowledge Base, we will help you develop one and put it together with all required components in place.
LLM integration & deployment
We carefully select and configure the best model for your needs, ensuring seamless integration into your existing infrastructure without disrupting your business operations. We conduct extensive testing and reliable deployment, supporting a wide range of LLMs detailed in the next section.
Fine-tuning AI models
We efficiently train AI models on your proprietary data to meet your specific needs. By combining reinforcement learning with user feedback, we adapt pre-trained models for specialized tasks, ensuring optimal performance through iterative improvements.
Vector search integration
We implement vector search to enhance generative AI solutions by enabling powerful, context-aware data retrieval from knowledge bases. Utilizing both traditional vector databases and integrating vector search into graph databases, we combine precise semantic search with the power of relational data insights.
Post-production support
We don’t leave you after deployment; our team is always ready to provide post-production support. Understanding your evolving business needs, we offer flexible upgrade and maintenance services with proactive monitoring to swiftly detect and resolve potential issues.
AI models we utilize
Large Language Models (LLMs) are sophisticated AI systems trained on extensive datasets. They excel in understanding and generating human-like text, making them suitable for various applications. We have frequently worked with these LLMs: ChatGPT 3.5, 4, and 4o; Anthropic’s Claude 2 and 3 families; Amazon’s Titan family; Meta’s LLaMA 2; and Google’s Gemini. Below is a comprehensive list of the LLMs we have worked with.
OpenAI
We have extensive experience with the entire ChatGPT family, including versions 3.5, 4, and 4o.
We also use OpenAI’s embedding models for text vector representations.
Amazon Bedrock
Our team has the expertise to work with all the LLMs provided through Amazon Bedrock, including AI21 Labs, Titan, Anthropic Claude, Cohere, Meta Llama, Mistral AI, and Stability AI. We also offer comprehensive model evaluation and implement guardrails for Amazon Bedrock.
Azure AI Language
We work with various LLMs supported by Azure AI Language, including GPT-4o, GPT-4, GPT-3.5, Llama 2, Mistral Large, and Hugging Face models, enabling us to handle diverse natural language processing tasks and customize models for specific needs.
Gemini
We can fine-tune Gemini 1.5 for your specific needs, integrate it seamlessly with Google Cloud, and leverage its advanced multimodal capabilities for a wide range of applications.
Open-source
Our team is experienced in working with open-source large language models, including Meta’s LLaMA 2, Salesforce’s XGen-7B, Falcon Models, among others, accessed through platforms and projects like LangChain, providing a broad range of options for developers.
We offer out-of-the-box RAG AI chatbot solution
Imagine you could add a smart chat box to any of the knowledge sources of your business: Word or .pdf documents, database, website or mobile content, Excel sheets, etc. That’s exactly the solution we’ve built for our needs and now offer to all our customers.
You can leverage a ready-made framework, designed to connect to any client knowledge base in various data formats and deliver relevant responses powered by AI. This solution can be swiftly customized to meet the unique needs of each client, ensuring rapid deployment and seamless integration into various platforms such as websites, mobile apps, and other customer support systems.
What it does:
Our RAG-based AI chatbot enhances user interaction by providing accurate, context-aware responses using the latest information from various knowledge sources.
It bridges the gap between users’ queries and relevant data, making it ideal for applications in customer support, information retrieval, and personalized user experiences.
Key features and advantages:
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1
Accuracy and relevance
By integrating real-time data and domain-specific context into the prompts, our chatbot delivers precise and up-to-date answers, surpassing the capabilities of standard language models. -
2
Modular architecture
The solution comprises loosely coupled modules, each optimized for specific tasks such as data extraction, vectorization, and response generation. This design allows for flexible customization and scaling. -
3
Multi-platform Integration
The chatbot can be embedded into websites using Node.js and ReactJS or integrated into mobile apps through frameworks like Swift, Kotlin, React Native, and Flutter. It can also be incorporated into other customer support platforms. -
4
Versatile knowledge bases
Our solution leverages both vector and graph databases. PostgreSQL with the pgvector plugin and Neo4j are used to store and retrieve data efficiently, enabling the chatbot to understand and respond to complex queries -
5
Advanced admin tools
The admin panel offers comprehensive management features, including Q&A database customization, document verification, session chat logs, chatbot testing, and system settings.
Customization options
Our AI chatbot solution is designed for rapid customization to fit your specific business requirements. The system’s modular nature allows us to adapt each component to handle your unique data sources and business processes efficiently.
Technology stack of the solution
Large language models
Flexible integration with various LLMs including OpenAI’s ChatGPT, Amazon Bedrock, Azure AI Language, Google’s Gemini, and open-source models like Meta’s LLaMA 2, Salesforce’s XGen-7B, and others.
Frontend
Node.js, ReactJS for web integration; Swift, Kotlin, React Native, Flutter for mobile applications.
Backend
PostgreSQL with pgvector plugin for vector databases, Neo4j for graph databases.
Data processing
OpenAI and Amazon Bedrock for content vectorization, adaptable to other embedding services like Word2Vec, GloVe, FastText, and ELMo.
Learn more
For a detailed exploration of our RAG-based AI chatbot solution, including technical specifics and cost considerations, read our comprehensive blog post here.
Contact ABCloudz today to discuss how our AI chatbot solution can be tailored to meet your business needs and drive growth.
Our approach to generative AI development
1
Consulting and strategy
We start by defining the project scope, objectives, and team roles. We also gather and understand your specific requirements and expectations.
2
Design and MVP development
Our experts design a custom architecture for your Generative AI solution. We then implement an MVP (Minimum Viable Product) to validate its efficacy. This involves integrating the LLM into your environment, creating a simple prototype, conducting initial testing, and collecting feedback to understand user perceptions and performance as you try out the MVP version.
3
Full-scale development
Based on the feedback collected from the MVP phase, we develop and integrate various components. This includes setting up environments, extracting and indexing metadata, prompt engineering, LLM tuning, chat service development, UI implementation, and front-end and back-end integration in a cloud environment.
4
Testing and improvement
In this phase, we conduct extensive unit, integration, and system testing to identify and fix issues. We also perform user acceptance testing (UAT) to gather real-world feedback. Based on test results, we iteratively refine the Generative AI system, adjust parameters, and optimize performance using advanced debugging and automated testing frameworks.
5
Beta launch and handover
We finalize all components, perform comprehensive testing, and prepare the solution for deployment. We then launch the Beta version and hand over the solution to your team, providing full documentation and support.
6
Post-production support
Our commitment doesn’t end with deployment. We provide ongoing post-production support, offering flexible upgrade and maintenance services. Our team proactively monitors the system to swiftly detect and resolve potential issues, ensuring your solution continues to meet evolving business needs.
Technology Stack
Other AI services
Explore our comprehensive AI services beyond generative AI, designed to enhance capabilities in IoT, video quality, model fine-tuning, text classification, computer vision, and more.
Natural language interface for data platforms
Transform your data management with our advanced Natural Language Interface, converting plain English queries into precise SQL statements for seamless data retrieval and analysis. Leveraging cutting-edge AI and robust architecture, our solution enhances query accuracy, ensures data security, and improves operational outcomes across various industries.
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AI text classification and recommendation
Enhance your business operations with our AI-driven text classification and recommendation solution that intelligently maps and matches textual data across extensive knowledge databases. By leveraging advanced AI algorithms, this solution can analyze and categorize vast amounts of text, providing relevant recommendations and actionable insights, optimizing workflows, and supporting strategic goals.
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Integrating AI into IoT
Leverage the synergy between AI and IoT to unlock new capabilities. AI algorithms analyze data collected from IoT devices, enabling real-time insights, autonomous decision-making, and continuous learning for ongoing improvement. Applications span across smart homes, smart cities, industrial automation, healthcare, and more.
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AI video enhancement
Develop applications that utilize cutting-edge AI technology to enhance video quality, leveraging advanced open-source tools to improve clarity, resolution, and overall visual appeal. Our AI Video Enhancement practice enables you to create solutions that transform video content, ensuring it stands out with impeccable quality and detail.
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AI-powered computer vision
Leverage the power of AI and computer vision to develop applications for real-time object detection and classification across various domains. Our service enables you to create sophisticated solutions that transform raw video input into precise data, offering enhanced insights and automated analysis for a wide range of applications.
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AI-powered image editing
Develop applications with advanced AI-driven image editing capabilities, seamlessly integrating AI technologies to offer superior photo enhancement features.
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AI-powered smart interfaces
Develop cutting-edge applications that integrate AI capabilities into everyday tools, enhancing user interaction and efficiency. Our service enables you to create innovative solutions like smart keyboards, which leverage AI for real-time assistance, conversational customization, and advanced text processing within any app, seamlessly connecting to powerful AI models like ChatGPT.
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Embedded AI voice recognition
Leverage the power of machine learning to develop applications for keyword spotting on embedded devices. Our expertise enables you to create sophisticated solutions that recognize and act on voice commands in constrained environments, turning simple hardware setups into intelligent, responsive systems.
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Get started today
Let us help you discover how Generative AI can transform your operations and drive growth.
Fill out the contact form to schedule a free consultation.