appliedAI Institute for Europe
appliedAI Institute for Europe
  • Видео 30
  • Просмотров 4 433
GenAI video tool library - ChatGPT for Translation, Correction and Improving Texts
00:00 Introduction to Email Translation with ChatGPT
01:01 Setting Up Your OpenAI Account
02:40 Understanding the RTF Framework
03:25 Translating Emails with ChatGPT
04:24 Correcting Language Errors in Translated Emails
05:52 Visualizing Errors with ChatGPT
06:37 Introduction to Using ChatGPT for Email Correction
06:47 Setting Up a New Chat in ChatGPT
06:56 Correcting Email Style and Professionalism
08:49 Prompt Chaining for Efficiency
10:59 Data Privacy and Trustworthy AI
12:15 Risks and Considerations of Using ChatGPT
13:48 Final Thoughts and Alternatives
13:57 Conclusion and Farewell
Join Christian, Principal Project Manager at the appliedAI Institute, as he guides you through mastering email transl...
Просмотров: 46

Видео

GenAI video tool library - ChatGPT für Lehrkräfte - Grammatik und Sprachbewertung
Просмотров 56Месяц назад
00:32 Einführung 00:56 Wie man sich für ChatGPT anmeldet 02:23 Schritt-für-Schritt-Anleitung 02:42 Schreiben eines Prompts - Der RTF-Rahmen 05:25 Bewertung von Schülertexten mit ChatGPT 07:19 Vertrauenswürdige KI, Datenschutz und KI-Grenzen 07:40 ChatGPT Training deaktivieren 08:42 Transparenz und Angleichung an die Schulpolitik 08:59 Überkorrektur 10:15 Alternative Tools und Verabschiedung Chr...
GenAI video tool library - ChatGPT for teachers - Grammar and Language evaluation
Просмотров 164Месяц назад
00:32 Introduction 01:00 How to Sign Up for ChatGPT 02:43 Understanding the ChatGPT Interface 02:38 Step-by-step 03:17 Writing your prompt - The RTF framework 05:10 Evaluating Student Texts with ChatGPT 06:30 Trustworthy AI, Data Privacy, and AI Limitations 08:00 Transparency and aligning with the school policies 08:38 Overcorrection 10:03 Alternative Tools and Goodbye Christian from the applie...
GenAI video tool library - How to Master Prompt Engineering
Просмотров 1032 месяца назад
00:44 What is a prompt? 01:11 Cheat sheet 01:25 The RTF framework 02:57 Provide context 03:45 Prompt Chaining 04:23 Shot Prompting 05:21 Prompt Structuring 06:08 Chain-of-Thought Prompting 07:15 Qualifiers and Voice Tone 08:47 AI can Hallucinate - Human in the Loop 09:15 Goodbye In this video, Omar, the senior AI trainer from the Applied AI Institute for Europe, reveals the basics of prompt eng...
GenAI video tool library - Wie kann man Prompt Engineering meistern?
Просмотров 1662 месяца назад
00:44 Was ist ein prompt? 01:41 Cheat-Sheet 02:02 Das RTF-Framework 03:53 Kontext bereitstellen 04:46 Prompt-Verkettung 05:27 Shot-Prompting 06:46 Prompt-Strukturierung 07:34 Chain-of-Thought Prompting 09:00 Qualifikatoren und Sprachton 10:40 KI-kann halluzinieren 11:28 Fazit In diesem Video enthüllt Omar, der Senior AI-Trainer vom applied AI Institute for Europe, die Grundlagen des Prompt-Engi...
TfL Seminar: Dense Rewards and Continual RL for Task-Oriented Dialogue Policies - C. Geishauser
Просмотров 393 месяца назад
The TransferLab Seminar (transferlab.ai) is a platform where researchers and engineers share and discuss recent advances in AI/ML, striking a balance between accessibility and mathematical depth. Recorded talk from June 6th, 2024. Dense Rewards and Continual RL for Task-Oriented Dialogue Policies Christian Geishauser, Generative AI Engineer at the appliedAI Initiative Abstract Task-oriented dia...
GenAI video tool library - What is Generative AI?
Просмотров 2173 месяца назад
Lamin Rubas, an AI upskilling specialist at the appliedAI Initiative, introduces the concept of generative AI in the first video of 'How to Master AI Tools at Work: The Generative AI video-series'. He explains what generative AI is, how it works by learning from vast amounts of data to generate new, similar data, and its practical uses in various fields. The video covers the generative capabili...
Was ist Vertrauenswürdige KI?
Просмотров 1423 месяца назад
00:00 Einführung 00:49 Was ist vertrauenswürdige KI? 01:51 Wie sind wir in die heutige Situation gekommen? 04:07 Das Prinzip der Rechtmäßigkeit 06:34 Das Prinzip der Robustheit 08:29 Das Prinzip der Ethik 11:32 Warum sollte uns das interessieren? 17:20 Wie baut das appliedAI Institute vertrauenswürdige KI auf? 18:56 Fazit und Schlussgedanken In dieser Folge erklärt Till, Head of Trustworthy AI ...
GenAI video tool library - What is Trustworthy AI?
Просмотров 1073 месяца назад
00:00 Introduction 00:53 What is Trustworthy AI? 01:44 How we got there? Historical Context and Evolution of AI 03:54 Trustworthy AI is Legal 05:51 Trustworthy AI is Robust 06:46 Trustworthy AI is Ethical 08:58 Why should we care? 14:29 How is the Applied AI Institute building Trustworthy AI? 16:16 Conclusion and Final Thoughts In this episode, Till, Head of Trustworthy AI at the appliedAI Inst...
GenAI video tool library - Was ist Generative KI?
Просмотров 1283 месяца назад
00:00 Willkommen zur Generative KI-Video-Serie! 00:48 Generative KI Kurz und Knapp 02:08 Warum ist Generative KI relevant? 03:04 Wie funktioniert Generative KI? 05:54 Fazit und Einladung zu weiteren KI-Inhalten Lamin Rubas, ein AI-Spezialist für Qualifikationserweiterung bei der appliedAI Initiative, stellt im ersten Video der Serie 'Wie man AI-Tools am Arbeitsplatz beherrscht: Die Generative A...
TransferLab Training: Practical Anomaly Detection - Module 6: Extreme Value Theory for AD
Просмотров 1754 месяца назад
In this module, we introduce extreme value theory (EVT) as a method for finding thresholds for anomaly detection. EVT is based on the assumption that the scores of anomalous points are significantly higher than the scores of nominal points. It estimates the tail of the score distribution and uses this to find a probabilistically interpretable threshold. We apply EVT to the New York taxi dataset...
TransferLab Training: Practical Anomaly Detection - Module 4: AD via Reconstruction Error
Просмотров 1144 месяца назад
Anomaly detection is particularly challenging when the data is high-dimensional. The previously introduced methods suffer from the curse of dimensionality and usually quickly degrade in performance as the dimension rises above a couple dozens. In this video, we will learn about auto-encoders, which can be used to detect anomalies by comparing the reconstruction error of the original data with t...
TransferLab Training: Practical Anomaly Detection - Module 3: Anomaly Detection via Isolation
Просмотров 1164 месяца назад
In this video, we will learn about a tree-based approach for anomaly detection: the isolation forest algorithm. It is based on the assumption that anomalies are rare and isolated. It has drawn a lot of attention in the last years and is considered a state-of-the-art algorithm for anomaly detection with excellent performance across a multitude of benchmarks. We use the isolation forrest for netw...
TransferLab Training: Practical AD - Module 2: AD via Density Estimation and Robustness
Просмотров 1224 месяца назад
In this video, our focus will be on Kernel Density Estimation (KDE) as a generic example of a density estimation method. When the training data might contain unrecognized anomalies, robustness is an important property of the estimation procedure. Due to this, we'll navigate through robust KDE variations, applying them to a real-world dataset with mislabeled data. Accessing the resources of this...
TransferLab Training: Practical Anomaly Detection - Module 1: Introduction to Anomaly Detection
Просмотров 2604 месяца назад
In this video, we'll dive into anomaly detection and its real-world applications. Together, we will explore the challenges and the different types of anomalies. Next, we'll discuss the contamination framework and conclude by introducing evaluation metrics tailored for anomaly detection, addressing the class imbalance problem along the way. Accessing the resources of this course: 🔗 GitHub Reposi...
TransferLab Anomaly Detection Training - Goodbye
Просмотров 704 месяца назад
TransferLab Anomaly Detection Training - Goodbye
TransferLab Anomaly Detection Training - Module 5: Anomaly Detection on Time Series
Просмотров 1384 месяца назад
TransferLab Anomaly Detection Training - Module 5: Anomaly Detection on Time Series
TransferLab Training: Practical Anomaly Detection - Welcome to the Course!
Просмотров 3744 месяца назад
TransferLab Training: Practical Anomaly Detection - Welcome to the Course!
TransferLab Seminar: Scientific Inference With Interpretable Machine Learning - Timo Freiesleben
Просмотров 634 месяца назад
TransferLab Seminar: Scientific Inference With Interpretable Machine Learning - Timo Freiesleben
nnbench - Benchmarking beyond just metrics
Просмотров 554 месяца назад
nnbench - Benchmarking beyond just metrics
TransferLab Seminar: LAVA: Data Valuation Without Pre-Specified Learning Algorithms - Feiyang Kang
Просмотров 795 месяцев назад
TransferLab Seminar: LAVA: Data Valuation Without Pre-Specified Learning Algorithms - Feiyang Kang
TransferLab Seminar: Second Order Information And Applications - Kristof Schröder
Просмотров 475 месяцев назад
TransferLab Seminar: Second Order Information And Applications - Kristof Schröder
TransferLab Seminar: Conditional Flow Matching - Alex Tong
Просмотров 1,1 тыс.5 месяцев назад
TransferLab Seminar: Conditional Flow Matching - Alex Tong
TransferLab Seminar: Mind the Gap - Methods and Applicability of SBI - Jan Teusen
Просмотров 1086 месяцев назад
TransferLab Seminar: Mind the Gap - Methods and Applicability of SBI - Jan Teusen
TransferLab Seminar: Studying LLMs with Influence Functions - Fabio Peruzzo
Просмотров 617 месяцев назад
TransferLab Seminar: Studying LLMs with Influence Functions - Fabio Peruzzo
TransferLab Seminar: Joint Probability Trees - Tom Schierenbeck (Uni Bremen)
Просмотров 437 месяцев назад
TransferLab Seminar: Joint Probability Trees - Tom Schierenbeck (Uni Bremen)
TransferLab Seminar: Episode-based RL with Movement Primitive - Maximilian Hüttenrauch
Просмотров 297 месяцев назад
TransferLab Seminar: Episode-based RL with Movement Primitive - Maximilian Hüttenrauch
TransferLab Seminar: Learning Function Operators with Neural Networks - Samuel Burbulla
Просмотров 1147 месяцев назад
TransferLab Seminar: Learning Function Operators with Neural Networks - Samuel Burbulla
TransferLab Seminar: Double Gumbel Q-learning - David Yu-Tung Hui
Просмотров 697 месяцев назад
TransferLab Seminar: Double Gumbel Q-learning - David Yu-Tung Hui
TransferLab Training: How to verify Systems in the Face of Uncertainty? December 2023
Просмотров 1208 месяцев назад
TransferLab Training: How to verify Systems in the Face of Uncertainty? December 2023

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