Natural Language Processing & Computer Vision
9 talks from the 2024 edition.
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Build an AI Document Inquiry Chat with Offline LLMs ▶ Recording 📝 Transcript
Pavithra Eswaramoorthy, Philip Meier
As we descend from the peak of the hype cycle around Large Language Models (LLMs), chat-based document inquiry systems have emerged as a high-value practical use case. Retrieval-Augmented Generation (RAG) is a...
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Building Professional Voice AI with Vocode ▶ Recording 📝 Transcript
Lev Konstantinovskiy
Dive into the world of AI voice agents with Vocode, the leading framework for creating interactive, voice-based AI assistants. In this talk, we'll explore how Vocode integrates speech-to-text, response generation,...
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Can ChatGPT convince you to get a COVID19 vaccine? Comparing ChatGPT to an expert system - which one is more convincing? ▶ Recording 📝 Transcript
Dr. Lisa Andreevna Chalaguine
This study explores the efficacy of chatbots as dialogical argumentation systems for behaviour change, focusing on vaccine hesitancy during the COVID-19 pandemic. A Python-based chatbot, developed in 2021, engaged in...
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FlixBus CitySnap: How we use GenAI and not only to collect captivating images for cities and confirm their locations ▶ Recording 📝 Transcript
Andrei Chernov
Have you ever wondered how travel e-commerce companies gather photos of cities? While I can't speak for everyone, I will demonstrate the innovative approach we are using at Flix. In recent years, text-to-text models...
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How to Do Monolingual, Multilingual, and Cross-lingual Text Classification in April, 2024 ▶ Recording 📝 Transcript
Daryna Dementieva
In 2023, the field of NLP was again flurried -- the appearing of powerful closed- and opens-source LLMs opened new possibility for texts processing. However, many questions about these models usability for typical...
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Is GenAI All You Need to Classify Text? Some Learnings from the Trenches ▶ Recording 📝 Transcript
Marc Palyart, Kateryna Budzyak
In recent times, GenAI has sparked fervent excitement, sometimes touted as the panacea for all natural language processing (NLP) tasks. This presentation explores a practical text classification scenario at Malt,...
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The AI Revolution Will Not Be Monopolized: How open-source beats economies of scale, even for LLMs ▶ Recording 📝 Transcript
Ines Montani
With the latest advancements in Natural Language Processing and Large Language Models (LLMs), and big companies like OpenAI dominating the space, many people wonder: Are we heading further into a black box era with...
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Using LLMs to Create Knowledge Graphs From a Large Corpus of Parliamentary Debates ▶ Recording 📝 Transcript
Usman
Large Language Models (LLMs) have proven to be incredibly powerful on a range of tasks. They do however, have certain limitations when the input context becomes significantly large. Solutions such as Retrieval...
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Would you rely on ChatGPT to dial 911? A talk on balancing determinism and probabilism in production machine learning systems ▶ Recording 📝 Transcript
Nicolas Guenon des Mesnards
In the last year there hasn’t been a day that passed without us hearing about a new generative AI innovation that will enhance some aspect of our lives. On a number of tasks large probabilistic systems are now...