Introduction
The DataHack Summit 2024 is ready to be an epicenter of innovation and data, bringing collectively probably the most good minds in AI and Information Science. This 12 months’s summit will showcase transformative developments, offering attendees with invaluable insights and sensible abilities.
Listed below are the highest 10 periods you merely can’t miss, every providing distinctive insights and sensible data to propel your understanding and utility of AI to new heights.
1. Mastering Multilingual GenAI – Open-Weights for Indic Languages
Dive into the world of multilingual Generative AI with Viraat Aryabumi as he demonstrates methods to fine-tune the aya-23-8B mannequin for brand new languages utilizing QLORA. This session will spotlight the importance of integrating a number of languages, the related challenges, and sensible steps for guaranteeing security and efficacy in multilingual AI.
Speaker: Viraat Aryabumi, Analysis Scholar
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2. Constructing Multi-Modal Fashions for Content material Moderation on Social Media
Discover how social media platforms handle numerous content material by way of superior multimedia classification methods. Pulkit Khandelwal will cowl the extraction of key audio options utilizing CNNs and different machine studying fashions to enhance content material moderation, specializing in real-world purposes and hands-on expertise.
Speaker: Pulkit Khandelwal, Information and Utilized Scientist II
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3. Studying Autonomous Driving Behaviors with LLMs & RL
Be a part of Mayank Baranwal as he discusses the revolutionary method of utilizing Massive Language Fashions (LLMs) to generate reward indicators for reinforcement studying (RL) in autonomous driving. This session will delve into the creation of reward capabilities, reaching human-like driving behaviors, and sensible implementations of LLMs in RL.
Speaker: Mayank Baranwal, Senior Scientist, Information and Resolution Sciences
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4. Bettering Actual-World RAG Methods: Key Challenges & Sensible Options
Impressed by Barnett et al.’s famend paper, Dipanjan Sarkar will discover the frequent challenges in constructing Retrieval Augmented Era (RAG) programs and provide sensible options. This session guarantees hands-on demonstrations and insights into the newest developments in RAG expertise.
Speaker: Dipanjan Sarkar, Head of Group and Principal AI Scientist
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5. Agentic RAG Methods with LlamaIndex
Ravi Theja will current the following evolution in RAG programs—Agentic RAG. Learn the way these superior programs deal with complicated queries with deep contextual understanding and dynamic response capabilities, enhancing efficiency with instruments like question planning and reflective studying.
Speaker: Ravi Theja, Developer Advocate Engineer
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6. Coding a ChatGPT-style Language Mannequin from Scratch in PyTorch
Joshua Starmer will information you thru the method of coding, coaching, and deploying a ChatGPT-style language mannequin utilizing PyTorch. This hands-on session will cowl mannequin elements, knowledge formatting, and fine-tuning methods to create a production-ready language mannequin.
Speaker: Joshua Starmer, PhD, Founder and CEO
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7. Multi-Modality in LLMs: New Poster Little one Everyone seems to be Striving For!
Sandeep Singh will take you on a journey by way of the revolutionary impression of multi-modal language fashions. Uncover how these fashions combine textual content, photos, audio, and video to rework sectors like healthcare, leisure, and training, whereas addressing moral challenges and future analysis instructions.
Speaker: Sandeep Singh, Skilled Senior Director
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8. Discovering Actor Look-alikes with Multi-modal LLMs
Anand S will unveil the fascinating world of figuring out actor look-alikes utilizing multi-modal LLMs. This session will exhibit how embeddings can uncover clusters of similar-looking actors and supply insights into the overlaps in facial options throughout Hollywood.
Speaker: Anand S, CEO
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9. Agentic AI: The Rise of Autonomous AI Brokers and LangGraph
Arun Prakash Asokan will discover the rise of autonomous AI brokers and the frameworks guiding their growth. Find out about LangGraph and its capabilities in defining agentic AI workflows, and uncover superior RAG methods for creating extra succesful AI programs.
Speaker: Arun Prakash Asokan, Affiliate Director Information Science
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10. Navigating LLM Tradeoffs: Methods for Pace, Value, Scale & Accuracy
Kartik Nighania will present methods to optimize giant language fashions throughout dimensions resembling pace, price, scale, and accuracy. This session will function real-world examples and instruments to reinforce mannequin efficiency and speed up time to market.
Speaker: Kartik Nighania, MLOps Engineer
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Finish Observe
DataHack Summit 2024 affords a wealth of data and cutting-edge developments in AI. These prime 10 periods are a should for anybody seeking to keep forward within the discipline, providing distinctive insights and hands-on experiences.
Don’t miss out on these must-attend periods to reinforce your experience and drive impactful outcomes at your office.