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A Reddit user, a computer science undergraduate named AggressiveMention359, seeks guidance on how to utilize local large language models (LLMs) for research purposes. They are particularly interested in creating an AI assistant that can help them with tasks like paper retrieval and managing literature when they are away from their PC.
The user has access to a NVIDIA RTX6000 PRO GPU, which allows them to run larger LLMs locally. However, they are unsure how to develop such a research-oriented agent. They have already set up a base model named qwen-3.6-35b for their hermes assistant and are considering either creating a specialized skill within this existing framework or using a more established tool like the LLM Wiki Agent.
- The user is seeking advice on how to effectively use local LLMs in research settings.
- This inquiry highlights the growing interest among researchers in leveraging locally hosted models for specific tasks.
- It also underscores the need for guidance and tools specifically designed for integrating these models into existing workflows.
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### Takeaways:
– The user is looking to create a local LLM agent for research assistance.
– This request reflects broader interest in using locally hosted large language models (LLMs) more effectively.
– There’s a need for better tools and guidance on how to integrate these models into existing workflows.
Originally published at reddit.com. Curated by AI Maestro.
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