Search Results for "basic language"
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Showing 2 open source projects for "basic language"
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Automate Proposals with AI in Microsoft Word.Automate your best practices, processes, and standards to guide your proposal writers, sales teams, and subject experts. And don’t worry, it’s so easy to use they will use it. We would love the opportunity to help you quantify the impact your business can expect from investing in Expedience Software. Click here to request a Return on Investment (ROI) calculation. In this 15-minute session, we will ask 20 simple questions to assess and grade your current proposal quality and scalability. Manual proposal processes are likely costing you far more than you realize. These models waste time and kill the productivity of proposal writers, sales team members, senior staff, and subject experts.
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Quality and compliance software for growing life science companiesAutomate gap analysis across FDA, ISO 13485, MDR, and 28+ regulatory standards. Cross-map evidence once, reuse across submissions. Get real-time risk alerts and board-ready dashboards, so you can expand into new markets with confidence
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Kaleidoscope-SDK
User toolkit for analyzing and interfacing with Large Language Models
kaleidoscope-sdk is a Python module used to interact with large language models hosted via the Kaleidoscope service available at: https://github.com/VectorInstitute/kaleidoscope. It provides a simple interface to launch LLMs on an HPC cluster, asking them to perform basic features like text generation, but also retrieve intermediate information from inside the model, such as log probabilities and activations. -
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Machine Learning PyTorch Scikit-Learn
Code Repository for Machine Learning with PyTorch and Scikit-Learn
Initially, this project started as the 4th edition of Python Machine Learning. However, after putting so much passion and hard work into the changes and new topics, we thought it deserved a new title. So, what’s new? There are many contents and additions, including the switch from TensorFlow to PyTorch, new chapters on graph neural networks and transformers, a new section on gradient boosting, and many more that I will detail in a separate blog post. For those who are interested in knowing...
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