Advancing multimodal and agentic AI: systems, storage & scalability
Open Source AI Meet-up - Bangalore edition
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Mehant Enhancing language model tuning throughputAbstract Getting your first language model tuning up and running is great, however, in an enterprise, you would always want to extract more value out of your expensive infrastructure by having more training cycles completed. This session presents various concepts to increase language model tuning throughput. Covering topics (available in open source) from usage of simple to complex knobs down the… more
Choose the topic your submission falls under: AI and costs - optimization, efficiency, learnings
Type of session: 30 mins talk
I am submitting for: Blr OSAI meetup in April 2025
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Preethi Srinivasan Fine-Tuning Large Models with Fewer Parameters: LoRA and Intrinsic Dimension ExplainedIn this talk, we will explore the growing need to fine-tune large pre-trained models for specialized tasks, and the limitations of conventional fine-tuning methods—especially their high computational and storage costs. We begin with Parameter-Efficient Fine-Tuning (PEFT) techniques, focusing on LoRA (Low-Rank Adaptation), an adapter-based approach that enables efficient model adaptation by introd… more
Choose the topic your submission falls under: Next generation architectures
I am submitting for: Speaking at the Fifth Elephant 2025 Annual Conference
Type of submission: 30 mins talk
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Akshat Gupta The Emergence of Multi-Agent Systems in Computer Vision: A New Era of Creative CollaborationThe core advantage of multi-agent systems in computer vision lies in their ability to divide complex tasks into smaller, manageable sub-tasks, allowing for more efficient and scalable processing. This paradigm fosters collaboration, where agents can exchange information and update each other’s knowledge, resulting in a more refined outcome, keeping every agrnt in sync. more
Choose the topic your submission falls under: Agentic AI
Type of session: Birds of Feather (BOF) discussion
I am submitting for: Blr OSAI meetup in April 2025
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Datta Nimmaturi Transformer architectures Royal RumbleTransformers have evolved a lot in the last few years ever since the introduction in 2017. We take a look at such different architectures and dive into what are the benifits and drawbacks of each. more
Choose the topic your submission falls under: Other
Type of session: 30 mins talk
I am submitting for: Blr OSAI meetup in April 2025
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Amir Nagri Challenges in building Multi-Platform on device AI ApplicationsDescription Developing cross-platform AI applications presents unique challenges, especially when aiming to provide consistent experiences while leveraging native capabilities. This session explores the architectural decisions behind Bodhi App, an open-source platform that enables users to run LLMs locally. I’ll share our experience using the Tauri framework—combining Rust’s performance with web … more
Choose the topic your submission falls under: AI and costs - optimization, efficiency, learnings
Type of session: Demo - startup idea
I am submitting for: Blr OSAI meetup in April 2025
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Robin Gupta  World's first open source testing agent🔍 About the review Modern test automation tools face two key challenges 🧩: more
Choose the topic your submission falls under: Next generation architectures
I am submitting for: Speaking at the Fifth Elephant 2025 Annual Conference
Type of submission: 30 mins talk
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Tushar Goswamy  GenAI for a Billion Indians: Building Text and voice-based LLMs for BharatTalk Overview Since its inception, Sarvam has been pioneering work on Speech and Text models in Indian languages, and now we are leading the efforts on developing foundational models for India. We have released 2 major models: Sarvam-1, which is a 2B parameter model, delivering SOTA performance on the top 10 Indian languages and English. It is also able to give comparable performance to bigger 7B… more
Choose the topic your submission falls under: Small language models
Type of session: Other
I am submitting for: Blr OSAI meetup in April 2025
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Jaydeep Sen  [Know your Laws in Bharatiya Nyay Sanhita]{LLMs are well equipped to solve tasks that require world knowledge. There is a considerable gap between frontier LLMs on English language vs the best language models we have in Indic languages. While there is considerable ongoing effort towards merging this gap, a more practical and scalable solution approach comes through a well designed alignment: where an existing LLM is stratetically tuned f… more
Choose the topic your submission falls under: Finetuning LLMs
Type of session: Demo - side project
I am submitting for: Blr OSAI meetup in April 2025
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Vrunda Gadesha  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
Choose the topic your submission falls under: Data collation, data cleaning
Type of session: 30 mins talk
I am submitting for: Blr OSAI meetup in April 2025
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Vrunda Gadesha 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
Choose the topic your submission falls under: Real-life uses of problems AI tech solves
Type of session: Tutorial (lecture style)
I am submitting for: Blr OSAI meetup in April 2025
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