Experimental News Clipping Site

Tag: bioinformatics

  • Cloud Blog: Supervised Fine Tuning for Gemini: A best practices guide

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/master-gemini-sft/ Source: Cloud Blog Title: Supervised Fine Tuning for Gemini: A best practices guide Feedly Summary: Foundation models such as Gemini have revolutionized how we work, but sometimes they need guidance to excel at specific business tasks. Perhaps their answers are too long, or their summaries miss the mark. That’s where supervised fine-tuning…

  • Cloud Blog: How the Air Force Research Laboratory is Advancing Defense Research with AI

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    system automation
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    Source URL: https://cloud.google.com/blog/topics/public-sector/how-the-air-force-research-laboratory-is-advancing-defense-research-with-ai/ Source: Cloud Blog Title: How the Air Force Research Laboratory is Advancing Defense Research with AI Feedly Summary: Through our collaboration, the Air Force Research Laboratory (AFRL) is leveraging Google Cloud’s cutting-edge artificial intelligence (AI) and machine learning (ML) capabilities to tackle complex challenges across various domains, from materials science and bioinformatics…

  • Hacker News: AlphaFold 3 Code

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    system automation
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    Source URL: https://github.com/google-deepmind/alphafold3 Source: Hacker News Title: AlphaFold 3 Code Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses the release and implementation details of AlphaFold 3, a state-of-the-art model for predicting biomolecular interactions. It includes how to access the model parameters, terms of use, installation instructions, and acknowledgment of contributors, which…

  • Hacker News: Biorecap: An R package for summarizing bioRxiv preprints with a local LLM

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    system automation
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    Source URL: https://blog.stephenturner.us/p/biorecap-r-package-for-summarizing-biorxiv-preprints-local-llm Source: Hacker News Title: Biorecap: An R package for summarizing bioRxiv preprints with a local LLM Feedly Summary: Comments AI Summary and Description: Yes Summary: The text outlines the development and capabilities of an R package called “biorecap” that utilizes local LLMs (Large Language Models) to summarize recent research papers from bioRxiv.…