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Advancing multimodal and agentic AI: systems, storage & scalability ![]() Preparing Data for LLM Applications using Data Prep KitAbstract Preparing high-quality datasets is a critical yet time-consuming process when building large language models (LLMs). Data Prep Kit, an open-source Python toolkit, simplifies and automates data preparation tasks, enabling faster and more efficient workflows for LLM applications. This session will explore how Data Prep Kit addresses key challenges like text extraction, deduplication, and d… more
Type of session: Sponsored talk (25-35 mins)
I am submitting for: Blr OSAI meetup in April 2025
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Advancing multimodal and agentic AI: systems, storage & scalability Build a PPT AI image analysis question answering system with Granite vision modelAbstract The Granite Vision model, part of IBM’s Granite family of open-source foundation models, enables state-of-the-art image analysis and understanding. With over 2 billion parameters, the model is designed for high-performance computer vision tasks, including object detection, scene understanding, and visual question answering. This session demonstrates how to harness the power of the Granit… more
Type of session: Sponsored pitch (10 mins)
I am submitting for: Blr OSAI meetup in April 2025
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Speak at The Fifth Elephant 2026 Annual Conference A Sovereign Stack for Turning Unstructured Text into Multi Turn ConversationsTraining and aligning enterprise models for regional languages like Telugu is severely limited by text scarcity and the high cost of manual data creation. Without an automated pipeline, creating high-quality conversational data requires hiring bilingual domain experts to manually read documents, extract topics, and draft realistic dialogue trees—a process that is slow, expensive, and difficult to… more
I am submitting for: Track 1 - Data engineering & infrastructure
Type of session: 15 mins talk
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