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appliedAI Institute for Europe
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Registrace 25. 10. 2023
GenAI video tool library - How to Master Prompt Engineering
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 engineering. The video is part of the generative AI Video-Series 'How to Master AI tools at Work' and provides valuable insights into different techniques to get accurate and efficient results from LLMs. Omar provides a practical cheat sheet with seven essential techniques. Among other things, the RTF framework is explained and methods such as context provision, prompt chaining and chain-of-thought prompting are presented. The video ends with a reminder of the importance of human supervision despite well-structured prompts and an invitation to learn more about AI.
Explore more about Omar Eladawy's profile here: www.linkedin.com/in/omareladawy.
Visit our Website: www.appliedai-institute.de/
Don't forget to like and share!
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 engineering. The video is part of the generative AI Video-Series 'How to Master AI tools at Work' and provides valuable insights into different techniques to get accurate and efficient results from LLMs. Omar provides a practical cheat sheet with seven essential techniques. Among other things, the RTF framework is explained and methods such as context provision, prompt chaining and chain-of-thought prompting are presented. The video ends with a reminder of the importance of human supervision despite well-structured prompts and an invitation to learn more about AI.
Explore more about Omar Eladawy's profile here: www.linkedin.com/in/omareladawy.
Visit our Website: www.appliedai-institute.de/
Don't forget to like and share!
zhlédnutí: 42
Video
GenAI video tool library - Wie kann man Prompt Engineering meistern?
zhlédnutí 122Před 14 dny
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
zhlédnutí 16Před měsícem
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?
zhlédnutí 190Před měsícem
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?
zhlédnutí 112Před měsícem
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?
zhlédnutí 87Před měsícem
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?
zhlédnutí 107Před měsícem
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
zhlédnutí 115Před 2 měsíci
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
zhlédnutí 84Před 2 měsíci
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
zhlédnutí 83Před 2 měsíci
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
zhlédnutí 86Před 2 měsíci
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
zhlédnutí 186Před 2 měsíci
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
zhlédnutí 59Před 2 měsíci
Thanks for joining our TransferLab Practical Anomaly Detection Course! To earn a certificate, complete the course test in our LMS (For FREE) 🎓 lms.appliedai-institute.de/ Don’t forget to participate in our course forum, where you can share your projects, exchange knowledge, and ask questions to our experts. For more information about TransferLab's training offers, please visit our website 🌐 tra...
TransferLab Anomaly Detection Training - Module 5: Anomaly Detection on Time Series
zhlédnutí 113Před 2 měsíci
In this video we will discuss the challenges of anomaly detection in time series and give a bit of background in time series analysis that is useful for anomaly detection. We then introduce the SARIMA model as a simple forecasting model that can be used to detect anomalies in time series. Finally, we apply the SARIMA model to the New York taxi dataset to detect anomalies in the number of taxi r...
TransferLab Training: Practical Anomaly Detection - Welcome to the Course!
zhlédnutí 281Před 2 měsíci
Welcome to the Practical Anomaly Detection Course! In this online course, we will review common approaches for anomaly detection and discuss their strengths and weaknesses in different application areas. Accessing the resources of this course: 🔗 GitHub Repository: complete code and examples on our GitHub github.com/aai-institute/tfl-training-practical-anomaly-detection 🌐 Website: digests of the...
TransferLab Seminar: Scientific Inference With Interpretable Machine Learning - Timo Freiesleben
zhlédnutí 45Před 2 měsíci
TransferLab Seminar: Scientific Inference With Interpretable Machine Learning - Timo Freiesleben
nnbench - Benchmarking beyond just metrics
zhlédnutí 46Před 2 měsíci
nnbench - Benchmarking beyond just metrics
TransferLab Seminar: LAVA: Data Valuation Without Pre-Specified Learning Algorithms - Feiyang Kang
zhlédnutí 60Před 3 měsíci
TransferLab Seminar: LAVA: Data Valuation Without Pre-Specified Learning Algorithms - Feiyang Kang
TransferLab Seminar: Second Order Information And Applications - Kristof Schröder
zhlédnutí 40Před 3 měsíci
TransferLab Seminar: Second Order Information And Applications - Kristof Schröder
TransferLab Seminar: Conditional Flow Matching - Alex Tong
zhlédnutí 649Před 3 měsíci
TransferLab Seminar: Conditional Flow Matching - Alex Tong
TransferLab Seminar: Mind the Gap - Methods and Applicability of SBI - Jan Teusen
zhlédnutí 101Před 4 měsíci
TransferLab Seminar: Mind the Gap - Methods and Applicability of SBI - Jan Teusen
TransferLab Seminar: Studying LLMs with Influence Functions - Fabio Peruzzo
zhlédnutí 55Před 4 měsíci
TransferLab Seminar: Studying LLMs with Influence Functions - Fabio Peruzzo
TransferLab Seminar: Joint Probability Trees - Tom Schierenbeck (Uni Bremen)
zhlédnutí 33Před 5 měsíci
TransferLab Seminar: Joint Probability Trees - Tom Schierenbeck (Uni Bremen)
TransferLab Seminar: Episode-based RL with Movement Primitive - Maximilian Hüttenrauch
zhlédnutí 26Před 5 měsíci
TransferLab Seminar: Episode-based RL with Movement Primitive - Maximilian Hüttenrauch
TransferLab Seminar: Learning Function Operators with Neural Networks - Samuel Burbulla
zhlédnutí 88Před 5 měsíci
TransferLab Seminar: Learning Function Operators with Neural Networks - Samuel Burbulla
TransferLab Seminar: Double Gumbel Q-learning - David Yu-Tung Hui
zhlédnutí 65Před 5 měsíci
TransferLab Seminar: Double Gumbel Q-learning - David Yu-Tung Hui
TransferLab Training: How to verify Systems in the Face of Uncertainty? December 2023
zhlédnutí 111Před 6 měsíci
TransferLab Training: How to verify Systems in the Face of Uncertainty? December 2023
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