 📢 If you're aimed at quick experiment with LLM and known Chain-of-Thought (CoT) / prompt schema with no-string dependencies, then I have something relevant for you to share 💎
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 📢 If you're aimed at quick experiment with LLM and known Chain-of-Thought (CoT) / prompt schema with no-string dependencies, then I have something relevant for you to share 💎
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So far I released the updated version 📦 bulk-chain-0.25.0 📦, which is aimed at bringing accessible API for an instant  LLM application towards massive data iterators using via predefined prompt schema 🎊
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So far I released the updated version 📦 bulk-chain-0.25.0 📦, which is aimed at bringing accessible API for an instant  LLM application towards massive data iterators using via predefined prompt schema 🎊
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📦: 
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📦: 
https://pypi.org/project/bulk-chain/0.25.0/
https://pypi.org/project/bulk-chain/0.25.0/
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🌟: 
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🌟: 
https://github.com/nicolay-r/bulk-chain
https://github.com/nicolay-r/bulk-chain
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📘: 
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📘: 
https://github.com/nicolay-r/bulk-chain/issues/26
https://github.com/nicolay-r/bulk-chain/issues/26
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The key updates of the most recent release are:
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The key updates of the most recent release are:
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✅ 🪶 No-string (empty dependencies): you can use any framework / API for LLM.
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✅ 🪶 No-string (empty dependencies): you can use any framework / API for LLM.
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✅ 🐍 Python API support (see first screenshot 📸).
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✅ 🐍 Python API support (see first screenshot 📸).
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✅ 💥 Native try-catch wrapping to guarantee no-data-lost on using remote providers especially: OpenAI, ReplicateIO, OpenRouter, etc.
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✅ 💥 Native try-catch wrapping to guarantee no-data-lost on using remote providers especially: OpenAI, ReplicateIO, OpenRouter, etc.
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✅ 🔥 Batching mode support: you may wrap for handling batches to significantly boost the performance 🚀 (see screenshot below for bath enabling 📸)
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✅ 🔥 Batching mode support: you may wrap for handling batches to significantly boost the performance 🚀 (see screenshot below for bath enabling 📸)
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✅ 🔧 Fixed a lot of minor bugs
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✅ 🔧 Fixed a lot of minor bugs
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Quick start on GoogleColab:
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Quick start on GoogleColab:
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📙: 
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📙: 
https://colab.research.google.com/github/nicolay-r/bulk-chain/blob/master/bulk_chain_tutorial.ipynb
https://colab.research.google.com/github/nicolay-r/bulk-chain/blob/master/bulk_chain_tutorial.ipynb
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📘 The wiki of the project is available here:
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📘 The wiki of the project is available here:
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https://github.com/nicolay-r/bulk-chain/wiki/Project-Documentation
https://github.com/nicolay-r/bulk-chain/wiki/Project-Documentation
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 📢 If you're aimed at quick experiment with LLM and known Chain-of-Thought (CoT) / prompt schema with no-string dependencies, then I have something relevant for you to share 💎

So far I released the updated version 📦 bulk-chain-0.25.0 📦, which is aimed at bringing accessible API for an instant  LLM application towards massive data iterators using via predefined prompt schema 🎊

📦: https://pypi.org/project/bulk-chain/0.25.0/
🌟: https://github.com/nicolay-r/bulk-chain
📘: https://github.com/nicolay-r/bulk-chain/issues/26

The key updates of the most recent release are:
✅ 🪶 No-string (empty dependencies): you can use any framework / API for LLM.
✅ 🐍 Python API support (see first screenshot 📸).
✅ 💥 Native try-catch wrapping to guarantee no-data-lost on using remote providers especially: OpenAI, ReplicateIO, OpenRouter, etc.
✅ 🔥 Batching mode support: you may wrap for handling batches to significantly boost the performance 🚀 (see screenshot below for bath enabling 📸)
✅ 🔧 Fixed a lot of minor bugs

Quick start on GoogleColab:
📙: https://colab.research.google.com/github/nicolay-r/bulk-chain/blob/master/bulk_chain_tutorial.ipynb

📘 The wiki of the project is available here:
https://github.com/nicolay-r/bulk-chain/wiki/Project-Documentation

👍
John6666 reonyy awkzardxxx AtAndDev haider482
❤️
reonyy AtAndDev