Generative AI Spring School
When and where:
March 11–16th, 2024
Registration deadline:
March 5th
Format:
offline in Lviv
Price:
donation 1000+ UAH
Objective:
To ensure you stay ahead of the industry, we’re excited to announce the launch of Generative AI Spring School — your industry intro to multimodality.
This one-week offline program will give you a detailed introduction to Generative AI in Computer Vision, NLP, current status of domains [text, images, video, audio]. You will also be able to share your experience and create your Generative AI based solution.
The two-day hackathon at the end of the school will give the opportunity to practice the knowledge you’ve gained.
For ML-specialists with 1+ years of experience, who
- worked least with one domain: NLP, CV, Signal Processing
- has knowledge in Linear Algebra, Probability and Statistic
- experiments with creation own ML systems
- has basic knowledge in PyTorch or TensorFlow
To participate:
- register
- check your email and find the link for the donation
- take a laptop with you
What to expect:
- knowledge exchange and case study review
- networking and connection with fellow AI/ML experts passionate about driving LLM innovation
- discussion of key industry trends and challenges
- broader understanding of LLMs commercial potential
- understanding of advanced techniques for tackling key challenges like bias, explainability, and trust in LLM systems
- an opportunity to ask questions and get answers
Who will help the participants:
- Nazarii specializes in NLP at SoftServe. Implements Generative AI [LLM] in Edtech project and conducts research and experiments related to Generative AI [LLM] in the company.
- Nazarii is a Research Fellow at the Center of Responsible AI at NYU and co-author of the article “The Possibility of Fairness: Revisiting the Impossibility Theorem in Practice.”
- He is a student in the Master’s program in Data Science at UCU. Also, Nazarii is the assistant in the “Basics of Programming” course at UCU, where he conducts laboratory classes for undergraduate students.
- Yurii presented at the UNLP conference with a scientific paper titled “Contextual Embeddings for Ukrainian: A Large Language Model Approach to Word Sense Disambiguation.” He organized and facilitated a workshop on Ukrainian Words Clarity with LLMs and assisted in organizing and creating a bachelor’s course on audio processing at UCU. He also developed and delivered The Basics of Artificial Intelligence course for CDTO.
- Yurii has extensive experience working with tabular data, texts, and audio. His background includes work in retail, green energy, automotive, legal documents, and other fields. He is proficient in more traditional machine learning algorithms and LLM.
- Yurii is studying in the Intelligent Systems PhD program at UCU and working on improving the representation of the Ukrainian language using multimodal models.
- Vladyslava taught Python at CodeClub UA.
- Vladyslava has experience in Natural Language Processing, particularly with text analysis, classification, clasterization, vectorization, etc. Recently, she has extensively worked with LLMs. Her main task at work is to bring the idea of using ML for a particular business use case into a production-ready system.
- Her areas of interest and research are LLMs, Recommendation systems, and Reinforcement Learning.
- ML Engineer. Was giving lectures for 2 years teaching signal processing.
- Oleksandr specializes in NLP-based features development and deployment to production. Research and development of ML-based solutions for text analysis and generation.
- His interests are NLP with applying LLM, Voice processing, DSP, Computer vision: object detection and tracking, Robotics.
- His field of research is GEC system development with applying LLMs, speech and speaker recognition in a noisy environment, CV algorithms development in embedded systems.
- Nazariy teaches the course “Recommendation systems” for master’s students of the Faculty of Applied Sciences of UCU.
- Currently leading AI/ML initiatives at The Mom Project, focusing on developing AI platforms and the application of machine learning across the company.
- Specializes in Natural Language Processing, Recommender Systems and Digital Signal Processing domains.
- You Neil Zhang is a PhD candidate in the Department of Electrical and Computer Engineering at the University of Rochester. He received a B.E. degree in Automation from the University of Electronic Science and Technology of China in 2019 and an M.S. degree in 2021 in Electrical Engineering from the University of Rochester, Rochester, NY.
- Neil’s research focuses on applied machine learning, particularly speech and audio processing. This includes audio deepfake detection, spatial audio, and audio-visual analysis. His research contributions have been showcased at prestigious venues such as ICASSP, WASPAA, Interspeech, SPL, TMM. Neil received recognition through the Rising Star Program in Signal Processing at ICASSP 2023 and the Graduate Research Fellowship Program from National Institute of Justice.
- Assists and helps develop the Mathematical Methods of Machine Learning course at UCU, previously administered at the Algorithms & Data Structures course at UCU, is a 4th-year undergraduate student at UCU.
- Yaroslav is engaged in the development and improvement of algorithms for image processing.
- His field of interest is Generative AI and video content processing and understanding. As a researcher in ML Lab UCU, together with the team, he wrote two articles on Video Segmentation, which were accepted at prestigious conferences (CVPRW2023, WACV2024). The topic of Yaroslav’s thesis is also related to understanding video and Generative AI.
Agenda
FAQ:
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How to participate?
Fill out the form and expect a confirmation via email. It might end up in your spam folder, so please check there as well.
Register -
Is there a participation fee?
Yes and no. You must donate 1000 UAH or more to the scholarship funds in memory of fallen Heroes from the UCU community to join. The donation should be sent after we confirm your participation by email.
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Will the participants be provided with accommodation?
We do not offer this option during school.
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When do I have to make a donation?
After your application is reviewed and you receive confirmation that you have been selected.
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Can I participate remotely?
For full interaction, you need to be present in Lviv. Location has an air raid shelter. Although, anyone will be able to access the live broadcasts and recordings of lectures for a donation of UAH 200 or more <feedback, hackathon, certificates will not be provided in this case>.
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When is the registration deadline?
The registration deadline is March 5th.
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What language will the event be held in?
The lectures will be held in Ukrainian.
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Didn't find the answer you were looking for?
Contact us at hi@aihouse.org.ua.