Found Description
Responsibilities
- Optimize the pipeline and model performance of large language models (LLMs) in retrieval-augmented generation (RAG) scenarios
- Explore and develop advanced applications of LLMs in multi-modal tasks, function calling, and interactive search
- Track the latest advancements in evaluation capabilities of large language models in RAG, multi-modal agents, and function calling, and build systematic evaluation capabilities
- Optimize foundational abilities of LLMs (e.g., instruction following, reasoning and planning, long-text memory, and knowledge inheritance) and promote their practical implementation
- Bachelor’s degree or higher in Computer Science or related fields
- Background in NLP/search/advertising/recommendation system development, familiar with modern NLP model architectures such as Transformers/BERT
- Excellent coding skills, proficient in programming languages suc...
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