Post
1830
📢 If you're aimed at processing complex dependencies in spreadsheet data with LLM Chain-of-Thought technique, then this update might be valuable for you 💎
The updated 📦 bulk-chain-0.24.1 which is aimed at iterative processing of CSV/JSONL data with no-string dependencies from third party LLM frameworks is out 🎉
📦: https://pypi.org/project/bulk-chain/0.24.1/
🌟: https://github.com/nicolay-r/bulk-chain
📘: https://github.com/nicolay-r/bulk-chain/issues/26
The key feature of bulk-chain is SQLite caching that saves your time ⏰️ and money 💵 by guarantee no-data-lost, which is important once using the remote LLM providers such as OpenAI, ReplicateIO, OpenRouter, etc.
🔧 This release has the following updates:
✅ Improved stability for various header conditions and the related support from SQLite
✅ Manual setup for ID column / assigning the ID
✅ Make CSV-related setups dynamic, that refers to the related Python 📦 csv package.
Quick start on GoogleColab:
📙: https://colab.research.google.com/github/nicolay-r/bulk-chain/blob/master/bulk_chain_tutorial.ipynb
Below is an example of the three simple steps in pictures:
1. ⬇️ Package installation
2. ✍️ Declaring schema
3. 🚀 Launching inference for your data with Replicate and 🤖 meta-llama/Llama-3.1-405B
The updated 📦 bulk-chain-0.24.1 which is aimed at iterative processing of CSV/JSONL data with no-string dependencies from third party LLM frameworks is out 🎉
📦: https://pypi.org/project/bulk-chain/0.24.1/
🌟: https://github.com/nicolay-r/bulk-chain
📘: https://github.com/nicolay-r/bulk-chain/issues/26
The key feature of bulk-chain is SQLite caching that saves your time ⏰️ and money 💵 by guarantee no-data-lost, which is important once using the remote LLM providers such as OpenAI, ReplicateIO, OpenRouter, etc.
🔧 This release has the following updates:
✅ Improved stability for various header conditions and the related support from SQLite
✅ Manual setup for ID column / assigning the ID
✅ Make CSV-related setups dynamic, that refers to the related Python 📦 csv package.
Quick start on GoogleColab:
📙: https://colab.research.google.com/github/nicolay-r/bulk-chain/blob/master/bulk_chain_tutorial.ipynb
Below is an example of the three simple steps in pictures:
1. ⬇️ Package installation
2. ✍️ Declaring schema
3. 🚀 Launching inference for your data with Replicate and 🤖 meta-llama/Llama-3.1-405B