Harnessing the power of Generative AI and Large Language Models to create innovative, intelligent solutions for your business
What is Generative AI & LLM?
Generative AI refers to the branch of artificial intelligence that focuses on creating new content, whether it's text, images, music, or other media, by learning from existing data. Large Language Models (LLMs), like GPT-4, are a subset of Generative AI specifically designed to understand and generate human-like text based on vast datasets. These models can perform a variety of tasks, from drafting emails and writing code to generating creative content and answering complex questions.
Steps in building Scalable Generative AI & LLM Models
Problem Definition
Identifying specific business needs and defining clear objectives for Generative AI and LLM applications.
Data Collection
Gathering extensive datasets relevant to the problem domain to train the models effectively.
Data Preprocessing
Implementing version control for code and models, enabling reproducibility and collaboration during model development.
Model Selection
Choosing the appropriate LLM architecture and other generative models that best fit the application requirements.
Training the Model
Training the selected models on high-performance computing resources to learn patterns and generate accurate outputs.
Fine-Tuning
Fine-tuning the models on specific datasets to improve performance on targeted tasks and domains.
Evaluation
Evaluating model performance using various metrics and user feedback to ensure it meets quality and relevance standards.
Deployment
Deploying the models in production environments where they can be accessed via APIs or integrated into applications.
Monitoring and Maintenance
Continuously monitoring model performance and updating it with new data to maintain accuracy and relevance.
Key Components of building LLM Models
Source: JohnSnow Labs
Large Datasets
Extensive, high-quality datasets to train models on diverse and relevant content.
Model Architectures
Advanced neural network architectures, such as transformers, designed for language generation and understanding.
High Performance Computing
GPUs and cloud-based infrastructure to handle the computational demands of training large models.
APIs and Integrations
Interfaces that allow models to be easily integrated into existing applications and workflows.
Evaluation Metrics
Standardized metrics to assess the quality, coherence, and relevance of the generated content.
How can we help you
At Unskew Data, we offer specialized services in Generative AI & LLMs to help you leverage the power of these advanced technologies.
Customized AI Solutions
We develop bespoke generative AI and LLM models tailored to your specific business needs and use cases.
Data Management
Our team handles the end-to-end process of data collection, cleaning, and preparation to ensure high-quality training data.
Advanced Model Training
We employ cutting-edge techniques and infrastructure to train and fine-tune models, ensuring optimal performance
Seamless Integration
We integrate generative AI and LLM capabilities into your existing systems and applications for smooth operation.
Continuous Improvement
Our experts provide ongoing support, monitoring, and updates to keep your models performing at their best.
Why Choose Us ?
Specialized Expertise
Our team has deep knowledge and experience in developing and deploying state-of-the-art generative AI and LLM models.
Innovation Focus
We stay at the forefront of AI research and technology to bring you the most innovative solutions.
Tailored Approach
We create customized AI solutions that align perfectly with your business goals and challenges.
End-to-End Service
From data collection to model deployment and ongoing maintenance, we offer comprehensive support throughout the AI lifecycle.
Proven Impact
Our successful projects demonstrate our ability to deliver high-impact generative AI solutions that drive business value.
Commitment to Excellence
We prioritize quality and reliability, ensuring your AI models are robust, accurate, and effective.