Master Thesis Project: Exploring Generative AI
4 weeks ago
Master Thesis Project – Sinch Sweden – AI Center of Excellence
Sinch is a global leader in cloud communications, providing innovative solutions to connect businesses with their customers on their mobile phones. Our technology powers the world's leading communications platforms, handling over 147 billion conversations every year.
We are interested in projects that push the boundaries of Generative AI, exploring novel applications of Large Language Models in Natural Language Processing tasks. We also seek to understand the relationship between NLP and multimodal approaches.
We are looking for Master Thesis students in Computer Science, Machine Learning, Artificial Intelligence, and related fields to develop their thesis project on topics related to Generative AI.
Key Project Details:
- Duration: minimum 3 months up to 6 months.
- Partnership with another student is accepted.
- Themes:
LLMs & Prompt Engineering: Techniques for adjusting prompts, understanding their impact on generated output, and best practices for optimizing language models.
LLM Evaluation: Methods to assess the performance of language models, including measuring response accuracy for specific tasks, ensuring stability, identifying hallucinatory responses, and defining relevant metrics.
LLM and RAG: Determining the best approach to apply RAG techniques (Retrieval Augmented Generation) and how it compares with alternative solutions like fine-tuning, scaling models, etc.
Multi-modal LLMs: Exploring the practical functioning and expected performance of models that process multiple data types, identifying the tasks these models excel at. How good are they at extracting information from images using prompts.
Prompt-Based Interfaces: Creating software products centered around prompt-based interactions, understanding the requirements for providing prompt-driven services.
Please mention in your application which theme you would like to develop your Master Thesis Project.
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