📑 Big data and artificial intelligence in cancer research

📕 Journal:  Trends in Cancer (🔥 I.F.= 18.4)
🗓 Publish year: 2023

📱 Authors: Xifeng Wu, Wenyuan Li, Huakang Tu
🏢 University: Zhejiang University School of Medicine, China

📎 Study the paper

✅ https://news.1rj.ru/str/DataScienceT ⚙️

🐱 Moving Object Segmentation:All You Need Is SAM (and Flow)

SAM + Optical Flow = FlowSAM

FlowSAM is a new tool for detecting and segmenting moving objects in video, which significantly outperforms all previous models , both for a single object and for multiple objects 🔥

▪ Project page: https://www.robots.ox.ac.uk/~vgg/research/flowsam/

▪ Code: https://github.com/video2game/video2game

▪ Paper: https://arxiv.org/abs/2404.12389

▪ Data: https://drive.google.com/drive/folders/1tmDq_vG_BvY5po40Ux5OBds1avUM_CbR

✅ https://news.1rj.ru/str/DataScienceT ⚙️

🖼 HiDiffusion: Unlocking High-Resolution Creativity and Efficiency in Low-Resolution Trained Diffusion Models 🦊

A new training-free method that improves the performance of pre-trained diffusion models.

It can be integrated into diffusion pipelines by adding just one line of code!

pip3 install hidiffusion


• page : https://hidiffusion.github.io
• paper : https://arxiv.org/abs/2311.17528
• code : https://github.com/megvii-research/HiDiffusion
• colab : https://colab.research.google.com/drive/1EiBn9lSnPZTU4cikRRaBBexs429M-qty?usp=sharing

✅ https://news.1rj.ru/str/DataScienceT ⚙️

➕ OpenBioLLM-Llama3-70B and 8B: Open-source Large Language Models in Medical Domain

OpenBioLLM-Llama3-70B and 8B: the most effective and affordable Lms in the medical field today! 🩺 💊 🧬

Outperforms industry giants like GPT-4, Gemini, Meditron-70B, Med-PaLM-1 and Med-PaLM-2 in the biomedical field. 🏥 📈 ⭐️

The OpenBioLLM-70B reaches SOTA and is a new achievement for models of this size.
The OpenBioLLM-8B even outperforms GPT-3.5, Gemini and Meditron-70B! 🚀

- 70B : https://huggingface.co/aaditya/OpenBioLLM-Llama3-70B

- 8B : https://huggingface.co/aaditya/OpenBioLLM-Llama3-8B

- Medical Leaderboard : https://huggingface.co/spaces/openlifescienceai/open_medical_llm_leaderboard

⭐️ The PyTorch team is developing a library for learning LLM called torch titan.

Today the library has become publicly available on GitHub, but it is still in a pre-release state and is actively being developed.

- Library link: https://github.com/pytorch/torchtitan

- Tutorial on working with torch titan: https://www.youtube.com/watch?v=ee5DOEqD35I

The library was created for preliminary training of models, and for fine tuning PyTorch has another library, torchtune:
https://github.com/pytorch/torchtune

✅ https://news.1rj.ru/str/DataScienceT ⚙️

⚡️ Arena-Hard is an evaluation tool for instruction-tuned LLMs.

Arena-Hard - Creating High Quality Tests for LLM Assessment

Arena-Hard allows you to evaluate LLM responses using 7 specific metrics; criteria in the image

▶️ More about Arena-Hard
🖥 GitHub

✅ https://news.1rj.ru/str/DataScienceT 💋