Macaw Generative AI Assistant
- Macaw uses Large Language models (LLMs) - which is a class of AI techniques designed to generate new and original coherent and contextually relevant text
- LLMs’ like GPT ( Generative Pre-trained Transformer) - need expensive GPUs for reinforcement and transfer training. Azure OpenAI service provides this with API access
- LLM’s use algorithms to generate new datasets similar to the dataset on which it is trained
- Macaw uses cfxLLM, our inbuilt API created with a local semantic search model trained on custom data.
- Macaw retrieves relevant documents by attaching the concerned Knowledge Base(KB) with compression and sends them to OpenAI for generating results.
CloudFabrix LLMOps
Macaw GenerativeAI assistant
RDAF Low-code Data Architecture
RDAF Low-code Component Architecture
RDAF Micro Services, Workers, Event Gateways run as containers in Kubernetes or Docker environment
RDAF Data Driven Approach
Full Data Driven approach to Composable services / Composable Business Value Dashboards
Useful Articles by Forbes Technology Council
Data Is Still The King When It Comes To Generative AI
Demystifying The GenAI Marketscape: Shakers, Makers And Takers