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- Curating high-quality datasets for pre-training and fine-tuning LLMs.
- Exploring state-of-the-art prompt engineering techniques to improve AI building blocks on our platform.
- Conducting experiments related to training large-language models.
- Evaluating and benchmarking LLMs and AI systems.
- Proficiency in Python programming.
- General knowledge of AI, Machine Learning (ML), Natural Language Processing (NLP), and Large Language Models (LLMs).
- Familiarity with prompt engineering.
- Effective communication skills to collaborate with team members and present findings clearly.
- In-depth understanding and hands-on experience with Hugging Face Transformers library.
- Strong knowledge of machine learning concepts, especially in the context of NLP and language models.
- Experience in training and fine-tuning language models using frameworks like PyTorch or TensorFlow.
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