Intern in the field of GraphRAG-based AI Assistants (d/f/m)
Tasks
- Analyze GraphRAG architecture
- Benchmark new workflow against legacy workflow
- Build automated latency testing pipelines
- Conduct usability and evaluation studies
- Identify LLM latency bottlenecks
- Implement performance enhanced LLM pipeline
- Research LLM optimization techniques
- Select models and apply quantization
Perks/Benefits
- International environment
- Networking opportunities
- Opportunity for final thesis
- Work with modern technologies
Skills/Tech-stack
Graph Databases | Hugging Face | Langchain | Language Models | Language Processing | Large Language Models | Machine Learning | Natural Language | Natural Language Processing | Neo4j | Prompt Chaining | PyTorch | Python
Education
N/A
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