10 of Our Favorite AI Slides from ODSC Europe 2024

Weren’t able to join us for ODSC Europe 2024 virtual? Or perhaps you just want to see the slides again? Either way, look no further! Below you’ll find a selection of AI slide decks from Europe’s hands-on deep dives, immersive talks, and more!

Unlocking Unstructured Data: Bridging Social (Survey) Sciences and NLP/LLM Research Through Open Science

Prof. Frauke Kreuter | Chair of Statistics and Data Science | LMU Munich | Slides

The vast availability of unstructured data presents a significant opportunity for social sciences, yet there is a pressing need for better tools and infrastructure to access and utilize this data effectively. These slides highlight how the Business and Economic Research Data Infrastructure Program BERD@NFDI is addressing these needs, showcasing achievements, and inviting further collaboration within the European social science community. You’ll also explore how European initiatives can facilitate the exchange of data and knowledge, driving innovation at the intersection of social sciences and AI technologies.

Generative AI: The Supply Chain Alchemist, Turning Data into Superhuman Business Insights

Denis Rothman | Generative AI, Public Speaker, Instructor, Author | Rothman-AI | Slides

Generative AI is a revolutionary tool that is transforming how companies manage their supply chains, optimize KPIs, and unlock hidden value. Dive into the real-world applications of Generative AI, from hyper-accurate demand forecasting to dynamic logistics optimization and proactive risk mitigation, and explore how this cutting-edge technology is slashing costs, boosting revenues, and enhancing agility for businesses across industries with concrete code examples.

AI Development Lifecycle: Learnings of What Changed with LLMs

Noé Achache | Engineering Manager & Generative AI Lead | Sicara | Slides

Using LLMs to build models and pipelines has made it incredibly easy to build proof of concepts, but much more challenging to evaluate the models. As a result, the evaluation step is often neglected leading to pointless iterations and a lack of knowledge on the true performance of the product. In these slides, we will explore the lessons learned from building products that are typical use cases of these technologies, and zoom on a specific use case: a RAG (Retrieval Augmented Generation) tool for a medical company.

Reinforcement Learning with Human Feedback

Luis Serrano, PhD | Author of Grokking Machine Learning and Creator of Serrano Academy | Slides

Although LLMs are tremendously successful at generating text, fine-tuning a model still relies on human feedback, commonly through reinforcement learning with human feedback. In these AI slides, you’ll explore a very important step in their fine-tuning, which involves humans evaluating the output. In order to improve the model with human feedback, RLHF is a widely used method.

Why Gaussian Splatting is a New Neurone Imagination Engine

Oles Petriv | Co-founder and CTO | Reface | Slides

In AI, new techniques are continually emerging to push the boundaries of what’s possible. One such innovation is Gaussian splatting, a method poised to revolutionize the representation of visual and semantic information. In these AI slides, Oles Petriv will shed light on why this technique is making waves in the AI community. By offering a more efficient and clear representation of data, Gaussian splatting not only reduces the cost of model training but also simplifies its integration into existing machine learning pipelines, 3D software, and game engines.

Advanced RAG Scenarios: Building Your Own Database Agents

Adrián González Sánchez | Data & AI Specialist at Microsoft | Book Author | LinkedIn Learning & DeepLearning.ai Instructor | Slides

In these AI slides, you will learn how to develop an AI agent that interacts with databases using natural language, simplifying the process of querying and extracting insights.

Using Generative AI to better understand B2B audiences: from Topic Modelling to Text Classification

Lourens Walters | Senior Data Scientist | Informa | Slides

In the complex and data-rich world of B2B marketing, understanding audience interests and improving data quality is paramount for driving successful campaigns. The IIRIS team at Informa has been at the forefront of this challenge, supporting the promotion of 1,500 trade shows by collecting, enriching, and analyzing a staggering 2.5 billion customer interactions.

Gender Bias in Machine Learning

Shalvi Mahajan | Senior Data Scientist | SAP SE | Slides

Gender bias in machine learning is a pervasive issue with significant implications, as it often mirrors and amplifies societal stereotypes, affecting areas like product design and service delivery. Natural language processing models, including Large Language Models (LLMs), are particularly prone to this bias, as they are trained on vast datasets that reflect historical gender norms, leading to problematic assumptions — such as defaulting to female for “nurse” and male for “doctor.”

Orchestrating LLM AI Agents with CrewAI

Alessandro Romano | Senior Data Scientist | Kuehne Nagel | Slides

These slides explore the integration of Large Language Models using CrewAI, an open-source software platform designed for orchestrating multiple AI agents. As you review them, the range of topics will cover the fundamentals of LLMs, their integration challenges, and how CrewAI enhances their collaborative capabilities. Key themes include inter-LLM communication, dynamic task decomposition, adaptive learning, and ethical considerations.

Design and Build Powerful LLM Agents

Valentina Alto | AI and Apps Tech Architect | Microsoft | Slides

When it comes to generative AI-powered applications, one of the most trending frameworks is Agent, which can be defined as highly-specialized entities that can achieve the user’s goal by panning and interacting with the surrounding ecosystem. In this session, You’ll explore the main components that feature AI Agents, such as LLMs, Prompts, Memory, and Tools. We will also see architectural best practices to build robust and enterprise-scale agents, focusing on emerging trends like semantic caching and GraphRag.

Conclusion

Looking for more AI hands-on deep dives beyond these AI slide decks? Join us for ODSC West 2024 this October 29th-31st for 300+ hours of content, 250+ world-class experts, 2 co-located summits and much more!