Telecommunications and AI Systems Quiz

Which tool is used for containerization in the listed skills?

What is the primary purpose of the Agent4Debate-AR system?

Which of the following LLM techniques is mentioned in the content?

Which programming language is explicitly mentioned as being used?

What feature does Comet ML provide in this context?

What was the result of Yossra Noureldien's redesign and delivery of curricula for undergraduate courses in AI?

Which skills does Yossra Noureldien specialize in?

What kind of project does Yossra's LLM-Twin encompass?

What was Yossra's role in the Syber Delivery project?

Which university did Yossra Noureldien attend for her Master's degree?

During her role as an AI and Data systems Lecturer, how many interactive lectures did Yossra conduct?

What pipeline processes are included in Yossra's LLM-Twin project?

What is Yossra's main focus in developing AI-driven solutions?

Experience

AI and Data Systems Lecturer: University of Khartoum, Sudan (Sept 2021 - Jul 2024)
- Redesigned AI and database curricula, improving student satisfaction by 40%
- Developed 30+ interactive lectures, tutorials, and labs, using case studies and hands-on activities.
Application Developer: Syber Technology, Sudan (Mar 2021 - Jun 2021)
- Enhanced a delivery project by adding new features and managing API integrations.

Education

MSc in Telecommunications Engineering: University of Jaen, Spain (Jul 2020)
BSc in Electrical and Electronics Engineering: University of Khartoum, Sudan (Nov 2017)

Personal Projects

LLM-Twin Project:
- Purpose: A personalized LLM using personal data, reflecting the user's expertise.
- Method: Three pipelines: data scraping, model training (fine-tuning LLM), and interaction/monitoring.
- Tools: ZenML (pipelines), MongoDB (data storage), Qdrant (feature store), AWS SageMaker (LLM training), Docker (containerization), Comet ML (experiment tracking/monitoring).
Agent4Debate-AR:
- Purpose: Extended a self-debate system to support Arabic language debates.
- Method: Adapted an existing system for Arabic language.
- Tools: Autogen (agent development), Streamlit (deployment), LLMs (Arabic text generation), custom prompt engineering (Arabic linguistic nuances).

Summary

Holds a strong background in AI, NLP, Generative AI, and Large Language Models (LLMs)
Experienced in developing Al-driven solutions with a focus on leveraging advanced models.
Demonstrates expertise in curriculum design, educational methodologies, and application development within the AI domain.
Skills in developing solutions using LLMs and various tools/technologies.

Test your knowledge on Telecommunications Engineering and AI systems based on the latest curricula. This quiz incorporates concepts from interactive lectures and hands-on activities designed for university students. Dive into key topics and assess your understanding of advanced engineering principles.