Intern in the field of GraphRAG-based AI Assistants (d/f/m)
Tasks
- Analyze GraphRAG architecture
- Benchmark new workflow against legacy workflow
- Conduct usability and evaluation studies
- Design LLM performance pipeline
- Develop automated latency testing pipeline
- Identify latency bottlenecks
- Implement LLM acceleration for inference
- Research LLM optimization techniques
- Select models and quantize models
Perks/Benefits
- Community participation
- International environment
- Modern technologies
- Networking opportunities
- Optional final thesis
- Weekly team meetings
Skills/Tech-stack
Automated testing | Benchmarking | GraphRAG | Hugging Face | Langchain | Language Models | Language Processing | Large Language Models | Latency optimization | Model Acceleration | Natural Language | Natural Language Processing | Neo4j | Prompt engineering | PyTorch | Python | Quantization | Retrieval-Augmented Generation
Education
N/A
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