Generative AI Agents
Background
Generative AI and large language models (LLM) are revolutionizing organizations by enabling natural and conversational interactions with user to enhance efficiency and user experience. Our team has piloted LLMs, vectorization, RAG architecture, and optimal technology frameworks to deliver the value of Generative AI capabilities.
OUR SAMPLE USE CASES
Conversation bots trained on internal & public data assets, Draft response generation to inquiries, Manufacturing & Quality Deviation analysis and resolution assistant, Contracts analyzer, Language translation & OCR for paper records
Conversational & Generative agents
Prompt engineering with data and domain expertise
Response optimization with augmented retrieval
Vectorization of internal data
Response benchmarking for different foundational LLMs
Technology stack simplification with the rapidly changing landscape of frameworks and models
Benefits
- Enhanced interim data monitoring & early signal detection
- Improved collaboration between internal and external stakeholders
- Structured repository for search across completed studies
- Improved data integrity, reduced data gaps, and efficiency gains with automated capabilities
- A projected cost synergy of 5-7% per study and 30-50% in data infrastructure
- An integrated & harmonized digital replica of ongoing & completed studies