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Sup3rCC: An Open-Source Machine Learning Model that Simulates Future Climate Conditions and Their Impact on Renewable Energy Resources
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Understanding Key Terminologies in Large Language Model (LLM) Universe
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Researchers at MIT Propose ‘MAIA’: An Artificial Intelligence System that Uses Neural Network Models to Automate Neural Model Understanding Tasks
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Top 10 Explainable AI (XAI) Frameworks
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JP Morgan AI Research Introduces FlowMind: A Novel Machine Learning Approach that Leverages the Capabilities of LLMs such as GPT to Create an Automatic Workflow Generation System
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OpenCRISPR: An Open-Source AI-Generated Gene Editor that Exhibits Compatibility with Base Editing
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Talaria: Interactively Optimizing Machine Learning Models for Efficient Inference
On-device machine learning moves computation to personal devices, enhancing user privacy and experiences. However, optimizing models on limited resources poses challenges. To address this, Talaria, a model visualization and optimization system, aids in compiling models to hardware and interactive visualization of model statistics for efficient on-device machine learning.
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Microsoft AI Releases Phi-3 Family of Models: A 3.8B Parameter Language Model Trained on 3.3T Tokens Locally on Your Phone
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OpenELM: An Efficient Language Model Family with Open-source Training and Inference Framework
OpenELM, a state-of-the-art open language model, prioritizes reproducibility and transparency in large language models. It employs a layer-wise scaling strategy to efficiently allocate parameters within each layer, resulting in enhanced accuracy. For instance, with a parameter budget of one billion, OpenELM shows a 2.36% accuracy improvement compared to OLMo.
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Meet CopilotKit: An Open-Source Copilot Platform for Seamless AI Integration in Any Application