Time-Effective LLM Querying in Information Retrieval Tasks
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Time-Effective LLM Querying in Information Retrieval Tasks
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🎤 Last week at Research Colloquium in Technische Universität Chemnitz, we presented a framework for time-effective data handling with prompting schemas. The video of the talk is now available 👇️
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🎤 Last week at Research Colloquium in Technische Universität Chemnitz, we presented a framework for time-effective data handling with prompting schemas. The video of the talk is now available 👇️
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🎬️ Video: 
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🎬️ Video: 
https://youtu.be/pa8jGOhHViI
https://youtu.be/pa8jGOhHViI
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🌟 Framework (bulk-chain): 
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🌟 Framework (bulk-chain): 
https://github.com/nicolay-r/bulk-chain
https://github.com/nicolay-r/bulk-chain
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🔑 bulk-chain solves the following problems:
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🔑 bulk-chain solves the following problems:
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✅ Effective handling CoT schema with big amount of prompts and parameters they are based on (batching policies)
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✅ Effective handling CoT schema with big amount of prompts and parameters they are based on (batching policies)
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✅ Easy-to-apply for data-iterators (datasets handling)
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✅ Easy-to-apply for data-iterators (datasets handling)
Time-Effective LLM Querying in Information Retrieval Tasks

🎤 Last week at Research Colloquium in Technische Universität Chemnitz, we presented a framework for time-effective data handling with prompting schemas. The video of the talk is now available 👇️

🎬️ Video: https://youtu.be/pa8jGOhHViI
🌟 Framework (bulk-chain): https://github.com/nicolay-r/bulk-chain

🔑 bulk-chain solves the following problems:
✅ Effective handling CoT schema with big amount of prompts and parameters they are based on (batching policies)
✅ Easy-to-apply for data-iterators (datasets handling)
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ashishpatel26 John6666 ctaxnagomi