Nicolay Rusnachenko

nicolay-r

AI & ML interests

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

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posted an update 4 days ago

📢 Following the bulk-chain v1.1.0 release and its minimalistic integration and real-world deployment on async inference with your LLM provider. Below is an example of tk-sheet for spreadsheet-style LLM reasoning 🔑 We use the concept of asyncio loops. You can set event loop of the utilized framework. At present it converts async generators to sync. https://stackoverflow.com/questions/71580727/translating-async-generator-into-sync-one/79617639#79617639 🔗 The integration demo: https://github.com/nicolay-r/bulk-chain-tksheet-client 🌌 The provider: https://github.com/nicolay-r/nlp-thirdgate/blob/master/llm/replicate_104.py

reacted to merve's post with 🔥 4 days ago

It was the week of video generation at @huggingface, on top of many new LLMs, VLMs and more! Let’s have a wrap 🌯 https://huggingface.co/collections/merve/may-16-releases-682aeed23b97eb0fe965345c LLMs 💬 > Alibaba Qwen released WorldPM-72B, new World Preference Model trained with 15M preference samples (OS) > II-Medical-8B, new LLM for medical reasoning that comes in 8B by Intelligent-Internet > TRAIL is a new dataset by Patronus for trace error reasoning for agents (OS) Multimodal 🖼️💬 > Salesforce Research released BLIP3o, a new any-to-any model with image-text input and image-text output 💬it’s based on an image encoder, a text decoder and a DiT, and comes in 8B > They also released pre-training and fine-tuning datasets > MMMG is a multimodal generation benchmark for image, audio, text (interleaved) Image Generation ⏯️ > Alibaba Wan-AI released Wan2.1-VACE, video foundation model for image and text to video, video-to-audio and more tasks, comes in 1.3B and 14B (OS) > ZuluVision released MoviiGen1.1, new cinematic video generation model based on Wan 2.1 14B (OS) > multimodalart released isometric-skeumorphic-3d-bnb, an isometric 3D asset generator (like AirBnB assets) based on Flux > LTX-Video-0.9.7-distilled is a new real-time video generation (text and image to video) model by Lightricks > Hidream_t2i_human_preference is a new text-to-image preference dataset by Rapidata with 195k human responses from 38k annotators Audio 🗣️ > stabilityai released stable-audio-open-small new text-to-audio model > TEN-framework released ten-vad, voice activity detection model (OS)

reacted to ginipick's post with 👍 4 days ago

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📢 Following the bulk-chain v1.1.0 release and its minimalistic integration and real-world deployment on async inference with your LLM provider. Below is an example of tk-sheet for spreadsheet-style LLM reasoning

🔑 We use the concept of asyncio loops. You can set event loop of the utilized framework. At present it converts async generators to sync.
https://stackoverflow.com/questions/71580727/translating-async-generator-into-sync-one/79617639#79617639

🔗 The integration demo:
https://github.com/nicolay-r/bulk-chain-tksheet-client

🌌 The provider:
https://github.com/nicolay-r/nlp-thirdgate/blob/master/llm/replicate_104.py

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2317

🚀 For those who interested in minimalistic integration of LLMs inferece with predefined reasoning shema, excited to share the latest bulk chain 1.1.0. It represents a no-string solution for deploying your LLM for efficient inference over data iterators.
✨ Key Features:
- Full async inference support + Including streaming mode for real-time output
- simplified inference API
🔗 Check out the repo: https://github.com/nicolay-r/bulk-chain

💡 Special thanks to @RicardoLee for his work on effective async LLaMA-3 deployment that helped shape this release:
https://github.com/RicardoLeeV587/Llama3-FastInference

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