content.raw: 📢 For those who in textual IR and experimenting with quick deployment of CoT / reasoning, the following update might be relevant. I am happy to announce new version of the bulk-chain 0.25.3. It is a no-string framework for quick application of reasoning schema adaptation over your data.
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content.value: 📢 For those who in textual IR and experimenting with quick deployment of CoT / reasoning, the following update might be relevant. I am happy to announce new version of the bulk-chain 0.25.3. It is a no-string framework for quick application of reasoning schema adaptation over your data.
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content.href: https://github.com/nicolay-r/bulk-chain/releases/tag/0.25.3
content.raw: https://github.com/nicolay-r/bulk-chain/releases/tag/0.25.3
content.type: link
content.type: new_line
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content.raw: The latest release brings huge updates on:
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content.value: The latest release brings huge updates on:
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content.raw: ✅ Reforged mechanism of models inference that work in steraming mode.
content.type: text
content.value: ✅ Reforged mechanism of models inference that work in steraming mode.
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content.raw:      - Callbacks support for streaming mode (earlier only in demo)
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content.value:      - Callbacks support for streaming mode (earlier only in demo)
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content.raw:      - Deployment of various clients (shell, tksheet; see attachment)
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content.value:      - Deployment of various clients (shell, tksheet; see attachment)
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content.raw: ✅ Support for batching (earlier in API mode only)
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content.value: ✅ Support for batching (earlier in API mode only)
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content.raw: ✅ Optional caching of inferred data in SQlite (always enabled earlier)
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content.value: ✅ Optional caching of inferred data in SQlite (always enabled earlier)
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content.raw:      - This now makes possible to faster launch small (but mighty) LLMs
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content.value:      - This now makes possible to faster launch small (but mighty) LLMs
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content.raw: 🌟 Project: 
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content.value: 🌟 Project: 
content.href: https://github.com/nicolay-r/bulk-chain
content.raw: https://github.com/nicolay-r/bulk-chain
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content.raw: 🌌 Proviers: 
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content.value: 🌌 Proviers: 
content.href: https://github.com/nicolay-r/nlp-thirdgate
content.raw: https://github.com/nicolay-r/nlp-thirdgate
content.type: link
content.type: new_line
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rawContent: 📢 For those who in textual IR and experimenting with quick deployment of CoT / reasoning, the following update might be relevant. I am happy to announce new version of the bulk-chain 0.25.3. It is a no-string framework for quick application of reasoning schema adaptation over your data.
  
  https://github.com/nicolay-r/bulk-chain/releases/tag/0.25.3
  
  The latest release brings huge updates on:
  ✅ Reforged mechanism of models inference that work in steraming mode.
       - Callbacks support for streaming mode (earlier only in demo)
       - Deployment of various clients (shell, tksheet; see attachment)
  ✅ Support for batching (earlier in API mode only)
  ✅ Optional caching of inferred data in SQlite (always enabled earlier)
       - This now makes possible to faster launch small (but mighty) LLMs
  
  🌟 Project: https://github.com/nicolay-r/bulk-chain
  🌌 Proviers: https://github.com/nicolay-r/nlp-thirdgate
  
  
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