Gen AI Services (GAIS)
We empower our customer businesses by seamlessly integrating Gen AI into their day-to-day operations, ensuring alignment with cutting-edge technology while prioritizing safety, security, and ethical considerations.
In an era where Generative AI is revolutionizing industries, GenAI Services equips businesses with cutting-edge AI solutions. From understanding your unique challenges to delivering tailor-made AI implementations, we are your partners in transformation.
Rag Architecture
RAG, or Retrieval-Augmented Generation, is an architecture that enhances natural language generation by combining retrieval and generation techniques. It first retrieves relevant documents from a large corpus and then uses this information to guide a language model's response generation. GAIS approach not only improves the accuracy and relevance of responses but also enables the model to produce more detailed and contextually rich outputs, leveraging both its generative capabilities and the specific information contained in the retrieved documents.
Data Automation
AI Strategy
Generative AI technology and Large Language Models (LLMs) play a transformative role in data cleansing, mining, and wrangling, thereby enhancing the quality of data tailored to specific use case requirements. By automating the detection and correction of inaccuracies, these advanced models streamline data preparation processes, ensuring cleaner and more usable datasets. Our AI strategy and LLM’s powerful capabilities in pattern recognition and anomaly detection enable sophisticated data mining and extraction of meaningful insights from vast, unstructured datasets, aligning data more closely with strategic business goals.
Responsible AI
GAIS’s Responsible AI framework refers to the practice of designing, developing, and deploying artificial intelligence systems in a manner that is ethical, transparent, and accountable. It involves ensuring AI respects human rights and diversity, operates fairly without bias, and contributes positively to society. Our approach includes continuous monitoring for unintended consequences and the ability to explain decisions made by AI systems to foster trust and confidence among users. Responsible AI aims to integrate ethical considerations throughout the lifecycle of AI systems, ensuring they benefit humanity while mitigating risks.
Prompt Design and Engineering
Our GAIS Prompt designing and prompt engineering principles and guidelines are crucial aspects of implementing Generative AI using Large Language Models (LLMs). This process involves crafting specific input prompts that guide the AI to generate desired outputs with higher accuracy and relevance. Effective prompt design can significantly enhance the performance of LLMs by providing clear, context-rich cues that leverage the model's capabilities. Our expertise in prompt engineering combines creativity with systematic experimentation, optimizing how these prompts interact with the AI to produce the most useful and coherent responses, tailored to specific applications and use cases.
Gen AI Security
Our Generative AI security model focuses on protecting AI models from threats and ensuring the integrity and confidentiality of the data they generate and process. As these models become more capable, they also become more attractive targets for cyber threats such as data poisoning, model inversion, and adversarial attacks. We promise to implement robust security measures, continuous threat monitoring, and response strategies which are crucial to safeguard these advanced systems. Additionally, maintaining transparency and regulatory compliance in the deployment of Generative AI technologies is vital for minimizing risks and ensuring trust.
Conversation App
A conversational app utilizing Large Language Models (LLMs) for building and implementing a Generative AI chatbot can significantly enhance user interactions on websites, especially within specific domains using vector databases. By integrating domain-specific knowledge bases, the chatbot can deliver precise and contextually relevant answers to inquiries related to website services or domain-specific data. GAIS’s expertise, capabilities and building domain vector databases using advanced application of LLMs enables real-time, intelligent responses that improve user engagement, provide instant support, and streamline the experience of navigating complex information on a website.
Repetitive Task Automation
At GAIS, we specialize in harnessing the power of Generative AI and Large Language Models (LLMs) to automate manual, repetitive tasks, transforming efficiency across industries. Our innovative solutions learn and mimic repetitive actions, freeing up human resources for more complex and strategic activities. By integrating advanced Generative AI technologies, we enable businesses to not only increase productivity but also significantly reduce errors associated with manual processes, demonstrating our expertise in streamlining operations through cutting-edge automation.
Summarization
Our expertise in text summarization through Generative AI and Large Language Models (LLMs) empowers organizations to distill large documents into concise, informative summaries. Leveraging the latest advancements in AI, our solutions process extensive volumes of text efficiently, extracting key information and presenting it in a clear, accessible format. This capability enhances information retention, speeds up decision-making, and supports effective communication by providing stakeholders with rapid insights from comprehensive documents.
Extraction
GAIS excel in the field of information extraction, utilizing Generative AI and Large Language Models (LLMs) integrated with vector databases and embeddings to pull relevant text from extensive documents or domain-specific knowledge bases. Our advanced AI-driven solutions are adept at understanding and responding to precise prompts, ensuring that the extracted information is highly relevant and immediately usable. This capability not only enhances data accessibility but also streamlines workflows by providing critical information at the right time, directly aligned with the specific needs of our clients.
Gen AI Enterprise Integration
At GAIS, we specialize in seamlessly integrating Generative AI and Large Language Models (LLMs) with core enterprise systems including SAP, Salesforce, ERP, CRM, and custom applications. Our deep expertise in Generative AI facilitates the enhancement of these systems, enabling them to leverage advanced AI capabilities for improved decision-making, automation, and user interaction. By bridging the gap between traditional enterprise solutions and cutting-edge AI technology, we empower organizations to transform their operations and drive innovation across all facets of their business.
Fine Tuning and Transfer Learning
At GAIS, our expertise extends to fine-tuning and applying transfer learning to pre-trained Large Language Models (LLMs) tailored to specific use case requirements. Utilizing high-quality structured and unstructured data, we adapt these sophisticated models to meet precise business needs, enhancing their applicability and effectiveness. We use cutting-edge techniques like LoRA (Low-Rank Adaptation) to ensure that our solutions are not only highly customized but also maintain optimal performance, demonstrating our capability to harness the full potential of Generative AI for specialized tasks and environments.
Validation
We excel in validating the outputs of Large Language Models (LLMs) using advanced metrics like BLEU and incorporating the latest tools and techniques, alongside human feedback mechanisms such as RLHF (Reinforcement Learning from Human Feedback) and RLAIF (Reinforcement Learning with Augmented Imitation Feedback). This rigorous validation process ensures that our Generative AI applications meet the highest standards of accuracy and reliability, aligning perfectly with customer expectations. Our commitment to using sophisticated evaluation benchmarks demonstrates our dedication to delivering superior quality and precision in all our Generative AI solutions.
Evaluation Metrics
We are dedicated to constructing robust evaluation and accuracy metrics to critically assess LLMs and other models, ensuring the optimal selection tailored to specific use case requirements. Our comprehensive evaluation framework considers a variety of factors, including cost-efficiency, performance, and resource utilization, comparing proprietary, commercial, and open-source models. This methodical approach enables us to identify and deploy the most effective model that delivers maximum accuracy and performance at an optimal cost. By leveraging these thorough comparative analyses, we ensure that our Generative AI solutions not only meet but exceed customer expectations, providing tailored, high-quality results every time.
Inferencing
At GAIS, our deployment capabilities span from small-scale proofs of concept (POCs) for a select few users to comprehensive global implementations for thousands of users worldwide. Leveraging cutting-edge technologies such as Kubernetes and Docker, we ensure scalable and secure deployment of Generative AI LLMs and applications. Whether initiating a pilot for hundreds of users or expanding to a full-scale global deployment, our robust infrastructure and advanced technological framework guarantee efficient, reliable, and adaptable solutions, tailored to meet diverse and dynamic global demands.
LLMOps / Automation
Our LLMOps capability integrates seamlessly with CI/CD practices to automate the deployment of Large Language Models through robust pipelines. This approach ensures continuous integration and delivery, facilitating rapid, consistent, and error-free deployments across diverse environments. By leveraging LLMOps, we enhance operational efficiencies and accelerate the time-to-market for Generative AI solutions, providing our clients with advanced, reliable AI capabilities that are both scalable and easily maintainable.
Monitoring, Maintenance & Optimization
At GAIS, we offer comprehensive Monitoring, Maintenance, and Optimization services as part of our Annual Maintenance Service (AMS) to ensure that Generative AI solutions operate smoothly post-deployment. Our dedicated team continually monitors system performance, conducts regular maintenance, and applies optimizations to enhance efficiency and reduce operational costs. This proactive approach not only guarantees the seamless functioning of Generative AI innovations but also maximizes ROI by ensuring systems are always optimized for peak performance.