Talk Intermediate

Enough of RAG lets learn RIG

Rejected

Session Description

Large Language Models (LLMs) have revolutionized how we interact with information, but grounding their responses in verifiable facts remains a fundamental challenge. This is compounded by the fact that real-world knowledge is often scattered across numerous sources, each with its own data formats, schemas, and APIs, making it difficult to access and integrate. Lack of grounding can lead to hallucinations — instances where the model generates incorrect or misleading information. Building responsible and trustworthy AI systems is a core focus of our research, and addressing the challenge of hallucination in LLMs is crucial to achieving this goal.

References

https://research.google/blog/grounding-ai-in-reality-with-a-little-help-from-data-commons/

Session Categories

FOSS

Speakers

jayita bhattacharyya AI Evangelist

Jayita holds 3+ years of experience in software development. Passionate about AI/ML space and keen to adopt new technologies for solving real-world problems. She collaborates with her team to integrate AI seamlessly into existing software products, addressing immediate needs with tailored solutions. With a deep passion for the AI/ML landscape, Jayita has recently achieved victories in the Infosys Data For AI Hackathon and the Informatica Data Engineering 2024 Hackathon. As an official code-breaker and hackathon wizard, she frequently shares her insights on cutting-edge technologies through her blogs, demonstrating her commitment to advancing the field and educating others.