applications and tools
Building the most capable tools for AI model builders and GenAI application developers.
We build and promote open-source tools for model training, tuning, and inference. We are also collaborating to simplify, automate, and optimize the deployment and execution of large-scale AI workloads on Kubernetes.
our projects
Advancing Domain-Specific Q&A: The AI Alliance's Guide to Best Practices
In our rapidly evolving, information-driven world, professionals across diverse fields need instant, precise, and tailored answers to complex questions. From doctors seeking the latest treatment options to financial analysts needing insights into market trends, the demand for accurate, domain-specific information is higher than ever. However, current AI systems frequently fall short in providing the depth and accuracy demanded for expert-level decision-making, leading to significant inefficiencies and missed opportunities.
To address this challenge, the members of India AI Alliance tools working group have conducted a comprehensive study on best practices for advancing domain-specific Q&A using retrieval-augmented generation (RAG) techniques. The findings of this research, is available on request to members and provides valuable insights and recommendations for AI researchers and practitioners looking to maximize the capabilities of Q&A AI in specialized domains.
The Living Guide to Applying AI
A "living guide" for building AI-enabled applications, this guide provides an introduction to several established design patterns for building AI systems and products, with contributions from different experts in the AI Alliance. Several common patterns, like RAG (retrieval-augmented generation), are explored from different angles, and emerging patterns, like GraphRAG (using a graph network as a source of RAG content) and agents.
Members may request a copy of this guide.