4 15 21

Nicolay Rusnachenko

nicolay-r

https://nicolay-r.github.io/

AI & ML interests

Information Retrieval・Medical Multimodal NLP (🖼+📝) Research Fellow @BU_Research・software developer http://arekit.io・PhD in NLP

Recent Activity

posted an update about 10 hours ago

📢 If you're aimed at processing spreadsheet data with LLM Chain-of-Thought technique, then this update might be valuable for you 💎 The updated 📦 bulk-chain-0.24.2 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/0.24.2/ 🌟: 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 on using remote LLM providers such as OpenAI, ReplicateIO, OpenRouter, etc. 🔧 This release has the following updates: ✅ Now I am using a separater iterator tiny package source-iter ✅ You can manually setup amount of attempts to continue in case of the lost connection. ✅ other minor improvements. Quick start on GoogleColab: 📙: https://colab.research.google.com/github/nicolay-r/bulk-chain/blob/master/bulk_chain_tutorial.ipynb #reasoning #bulk #sqlite3 #chainofthought #cot #nlp #pipeline #nostrings #processing #data #dynamic #llm

posted an update 7 days ago

📢 If you were earlier interested in quick translator application for bunch of texts with spans of fixed parts that tolerant for translation, then this post might be relevant! Delighted to share a bulk_translate -- a framework for automatic texts translation with the pre-anotated fixed spans. 📦 https://pypi.org/project/bulk-translate/ 🌟 https://github.com/nicolay-r/bulk-translate 🔑 Spans allows you to control your objects in texts, so that objects would be tollerant to translator. By default it provides implementation for GoogleTranslate. bulk_translate features: ✅ Native Implementation of two translation modes: - fast-mode: exploits extra chars for grouping text parts into single batch - accurate: pefroms individual translation of each text part. ✅ No strings: you're free to adopt any LM / LLM backend. Support googletrans by default. The initial release of the project supports fixed spans as text parts wrapped in square brackets [] with non inner space characters. You can play with your data in CSV here on GoogleColab: 📒 https://colab.research.google.com/github/nicolay-r/bulk-translate/blob/master/bulk_translate_demo.ipynb 👏 This project is based on AREkit 0.25.1 pipelines for deployment lm-based workflows: https://github.com/nicolay-r/AREkit

Reacted to merve's post with ❤️ 9 days ago

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📢 If you're aimed at processing spreadsheet data with LLM Chain-of-Thought technique, then this update might be valuable for you 💎

The updated 📦 bulk-chain-0.24.2 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/0.24.2/
🌟: 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 on using remote LLM providers such as OpenAI, ReplicateIO, OpenRouter, etc.

🔧 This release has the following updates:
✅ Now I am using a separater iterator tiny package source-iter
✅ You can manually setup amount of attempts to continue in case of the lost connection.
✅ other minor improvements.

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

#reasoning #bulk #sqlite3 #chainofthought #cot #nlp #pipeline #nostrings #processing #data #dynamic #llm

Post

526

📢 If you were earlier interested in quick translator application for bunch of texts with spans of fixed parts that tolerant for translation, then this post might be relevant! Delighted to share a bulk_translate -- a framework for automatic texts translation with the pre-anotated fixed spans.

📦 https://pypi.org/project/bulk-translate/
🌟 https://github.com/nicolay-r/bulk-translate

🔑 Spans allows you to control your objects in texts, so that objects would be tollerant to translator. By default it provides implementation for GoogleTranslate.

bulk_translate features:
✅ Native Implementation of two translation modes:
- fast-mode: exploits extra chars for grouping text parts into single batch
- accurate: pefroms individual translation of each text part.
✅ No strings: you're free to adopt any LM / LLM backend.
Support googletrans by default.

The initial release of the project supports fixed spans as text parts wrapped in square brackets [] with non inner space characters.

You can play with your data in CSV here on GoogleColab:
📒 https://colab.research.google.com/github/nicolay-r/bulk-translate/blob/master/bulk_translate_demo.ipynb

👏 This project is based on AREkit 0.25.1 pipelines for deployment lm-based workflows:
https://github.com/nicolay-r/AREkit

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