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Nicolay Rusnachenko

nicolay-r
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https://nicolayr.com/

AI & ML interests

Information Retrieval惻Medical Multimodal NLP (šŸ–¼+šŸ“) Research Fellow @BU_Research惻software developer http://arekit.io惻PhD in NLP

Recent Activity

reacted to julien-c's post with šŸ”„ 1 day ago
BOOOOM: Today I'm dropping TINY AGENTS the 50 lines of code Agent in Javascript šŸ”„ I spent the last few weeks working on this, so I hope you will like it. I've been diving into MCP (Model Context Protocol) to understand what the hype was all about. It is fairly simple, but still quite powerful: MCP is a standard API to expose sets of Tools that can be hooked to LLMs. But while doing that, came my second realization: Once you have a MCP Client, an Agent is literally just a while loop on top of it. šŸ¤Æ āž”ļø read it exclusively on the official HF blog: https://huggingface.co/blog/tiny-agents
reacted to as-cle-bert's post with šŸ”„ 1 day ago
Ever dreamt of ingesting into a vector DB that pile of CSVs, Word documents and presentations laying in some remote folders on your PC?šŸ—‚ļø What if I told you that you can do it within three to six lines of code?šŸ¤Æ Well, with my latest open-source project, š¢š§š šžš¬š­-ššš§š²š­š”š¢š§š  (https://github.com/AstraBert/ingest-anything), you can take all your non-PDF files, convert them to PDF, extract their text, chunk, embed and load them into a vector database, all in one go!šŸš€ How? It's pretty simple! šŸ“ The input files are converted into PDF by PdfItDown (https://github.com/AstraBert/PdfItDown) šŸ“‘ The PDF text is extracted using LlamaIndex readers šŸ¦› The text is chunked exploiting Chonkie šŸ§® The chunks are embedded thanks to Sentence Transformers models šŸ—„ļø The embeddings are loaded into a Qdrant vector database And you're done!āœ… Curious of trying it? Install it by running: š˜±š˜Ŗš˜± š˜Ŗš˜Æš˜“š˜µš˜¢š˜­š˜­ š˜Ŗš˜Æš˜Øš˜¦š˜“š˜µ-š˜¢š˜Æš˜ŗš˜µš˜©š˜Ŗš˜Æš˜Ø And you can start using it in your python scripts!šŸ Don't forget to star it on GitHub and let me know if you have any feedback! āž”ļø https://github.com/AstraBert/ingest-anything
posted an update 2 days ago
šŸš€ Delighted to share a major milestone in adapting reasoning techniques for data collections augmentation! Introducing bulk-chain 1.0.0 -- the first major release of a no-string API for adapting your LLM for Chain-of-Thought alike reasoning over records with large amount of parameters across large datasets. ā­ Check it out: https://github.com/nicolay-r/bulk-chain Whatā€™s new and why it matters: šŸ“¦ Fully no-string API for easy client deployment šŸ”„ Demos are now standalone projects: Demos: šŸ“ŗ bash / shell (dispatched): https://github.com/nicolay-r/bulk-chain-shell šŸ“ŗ tksheet: https://github.com/nicolay-r/bulk-chain-tksheet-client Using nlp-thirdgate to host the supported providers: šŸŒŒ LLM providers: https://github.com/nicolay-r/nlp-thirdgate
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