Generative AI Development
Unlock the full potential of Generative AI with our full-spectrum development services designed to bring intelligence and automation into your business processes. Our experts at Hashtrust design and deploy advanced AI systems, from autonomous agents to sophisticated multi-agent frameworks, with seamless integration into your workflows.
Custom AI Agents and LLM Agents Development
We are experts in developing AI agents empowered by state-of-the-art Large Language Models (LLMs). These agents are capable of autonomous decision-making and interaction with external systems, making them invaluable for handling complex and diverse tasks. Whether you need one intelligent agent or a network of multi-agent systems, we provide robust, scalable, and goal-directed solutions.
Autonomous Agents with LLMs
We utilize the power of LLMs to create AI agents that can autonomously execute a range of tasks. These smart agents are empowered with tools and decision-making capabilities that adapt to your unique workflows, ensuring efficiency and precision in task execution.
Key Features of Our Autonomous Agents
Integration of tools and APIs for seamless external interactions.
Decision-making capabilities tailored to your business requirements.
Continuous learning and adaptation to improve over time.
Our Generative AI Development Approach
Suitable Selection of LLM Architecture
We select the most suitable LLM architecture for you, based on performance versus scalability.
Fine-Tuning Models
We fine-tune pre-trained models so that they can perform the tasks better and more effectively.
Multi-Agent Systems
We implement multi-agent frameworks where specialized agents cooperate with each other to solve the complex problem. For example, we can divide a set of tasks such as research, data retrieval, and technical support into different agents and complete them with optimal performance.
What This Process Involves
Designing algorithms, rules, and workflows to guide effective agent interactions.
Custom RAG Applications
The retrieval-augmented generation applications are a hybrid generative AI with real-time information retrieval. Our custom solutions for RAG enable AI systems to generate contextually accurate responses while retrieving up-to-date information from diverse sources such as databases, knowledge bases, or APIs.
Natural Language Responses
Generate human-like responses with context awareness
Real-time Data Access
Connect to live data sources for up-to-date information
Customer Support
Automated support with human-like understanding
High Performance
Optimized for speed and accuracy in responses
Development Process
Response Generation and Ranking
Using LLMs to generate responses and rank retrieved information for relevance.
Iterative Refinement
Mechanisms for iterative improvement in the quality of responses and system accuracy.
Our RAG applications are designed to bridge the gap between generative AI capabilities and real-world data needs while ensuring reliability and relevance in every interaction.
Generative AI PoC and MVP Development
We appreciate the need for validation of AI solutions before full-scale implementation. Our services encompass developing Proof of Concept, Proof of Value, and Minimum Viable Product that helps you evaluate the feasibility, business value, and integration potential of AI within your operations.
Development of Proof of Concept (PoC) / Proof of Value (PoV)
When an AI solution is proven using PoC, a PoV proceeds one step further by raising the question,Does this solution benefit my business? In the PoV phase, we develop the interactive version of the system that generates AI according to your specific operational needs.
Dev Highlights of PoC and PoV
Building an AI system that handles a single critical process to demonstrate its technical viability.
Evaluating process efficiency, user interaction, and communication styles to ensure alignment with your business goals.
MVP Development
After PoC/PoV has been validated, both technically and in business value, we go ahead and develop a Minimum Viable Product. This version comprises the basic functionalities that help you meet your immediate goals and is also an opportunity to test the AI system in real-world scenarios.
Important Elements of MVP Development
Identifying and prioritizing the most critical features.
Delivering a functional, initial version of the AI system that focuses on achieving your primary business goals.
Gathering feedback to refine and enhance the system for future iterations.
Frequently Asked Questions
Ready to Modernize Your Infrastructure?
Contact us today for a free consultation or to see examples of our Gen AI success stories.