Build an AI Document Inquiry Chat with Offline LLMs
Pavithra Eswaramoorthy, Philip Meier

In this hands-on tutorial, we'll build an LLM-powered document inquiry chat application that uses Retrieval-Augmented Generation (RAG) for more accurate results. We'll test different LLMs, run an offline LLM on GPUs, and demonstrate a fully functional web app.

Building Professional Voice AI with Vocode
Lev Konstantinovskiy

Meet Vocode, an open-source framework for AI voice agents. We'll cover its integration of speech APIs, LLMs, and conversation etiquette in real-world applications. #OpenSource #AI #VoiceAgents

Can ChatGPT convince you to get a COVID19 vaccine? Comparing ChatGPT to an expert system - which one is more convincing?
Dr. Lisa Andreevna Chalaguine

Comparison between ChatGPT and Domain-Specific Expert System - which is more convincing in getting people to vaccinate against COVID-19?

Flix CitySnap: How we use GenAI and not only to collect captivating images for cities and confirm their locations
Andrei Chernov

Flix’s buses operate in more than 5,000 cities around the world. In this talk, we will demonstrate how we leverage state-of-the-art models, including Generative AI, to automatically collect images for thousands of cities and verify their locations. Our comprehensive end-to-end pi

How to Do Monolingual, Multilingual, and Cross-lingual Text Classification in April, 2024
Daryna Dementieva

If I want a text classifier in 2024, what should I choose -- LLMs or pre-LLM era classifier? Is the answer the same for English and other languages? We will provide the recipe how to find your classifier depending on the target language and data availability.

Improving LLM Math Reasoning with Agent-Based Systems
Chris Hoge

Learn how agent-based reasoning can improve baseline performance on LLMs on math benchmarks by 30%.

Is GenAI All You Need to Classify Text? Some Learnings from the Trenches
Marc Palyart, Kateryna Budzyak

GenAI is sometimes touted as the panacea for all natural language processing (NLP) tasks. This presentation explores a practical text classification scenario at Malt, highlighting the practical hurdles encountered when employing GenAI and how we overcame these obstacles.

The AI Revolution Will Not Be Monopolized: How open-source beats economies of scale, even for LLMs
Ines Montani

Are we heading further into a black box era with larger and larger models, obscured behind APIs controlled by big tech monopolies? I don’t think so, and in this talk, I’ll show you why.

Using LLMs to Create Knowledge Graphs From a Large Corpus of Parliamentary Debates
Usman

This talk demonstrates how we can intuitively analyze political debates using knowledge graphs created using LLMs.

Would you rely on ChatGPT to dial 911? A talk on balancing determinism and probabilism in production machine learning systems
Nicolas Guenon des Mesnards

Combining deterministic and probabilistic models to boost ML system robustness. Learn their benefits and applications in AI, backed by NLP case studies. #AIInnovation #MLTech #RobustAI

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