AI Agent 算法实习生
Tasks
- Apply vector reranking
- Build prompt engineering workflows
- Build web scraping data pipelines
- Clean data and build corpora
- Design AI agent core logic
- Develop intent recognition strategies
- Implement RAG vector retrieval
- Implement data extraction strategies
- Integrate LLM into product demos
- Optimize LLM content generation quality
- Orchestrate agent workflows
- Prototype agentic workflow systems
- Track LLM research and open source
- Validate model performance in real scenarios
Perks/Benefits
- N/A
Skills/Tech-stack
Autogen | BeautifulSoup | Data cleaning | Information Retrieval | Langchain | Language Models | Language Processing | Large Language Models | Llamaindex | Machine Learning | Natural Language | Natural Language Processing | Prompt Tuning | Prompt engineering | Python | RAG | RPA | Selenium | Selenium WebDriver | Vector Databases | Vector Search | Web Scraping
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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