2. Mindsdb MindsDB is an open-source AI layer for existing databases that allows you to effortlessly develop, train and deploy state-of-the-art machine learning models using SQL queries.
MACHINE LEARNING
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Weights & Biases: MLOps Platform for Model Development
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3. Weights & Biases Mlops Platform to build better models faster with experiment tracking, dataset versioning, and model management https://
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Hugging Face: ML Platform for Building Training and Deploying Models
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1. Hugging Face No Introduction require for Hugging Face if you are in ML Space. It is a community and data science platform that provides Tools that enable users to build, train and deploy ML models based on open-source code and technologies. https://
github.com/huggingface/tr
ansformers
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7 Open Source Machine Learning Startups for Job Seekers
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If you are into Machine Learning and looking for a Job? The best way to showcase your Tech and Non-Tech skills to a recruiter is by contributing to Open Source. Here's a list of 7 Open Source Machine Learning Startups that you can contribute to
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Google’s PaLM: The Overlooked AI Giant Behind ChatGPT Hype
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The AI project that everyone is forgetting about with all the hype on chatGPT: Google's PaLM (Pathways Language Model): Claims to have 560 billion parameters, nearly 3x that of OpenAI’s GPT-3
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Predictive Coding: Deep Learning Beyond Backpropagation
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#TenstorrentTop10: each week Tenstorrent will be highlighting a paper that has inspired our product development. This week: Predictive Coding Towards a Future of Deep Learning Beyond Backpropagation. #predictive #coding #machinelearning #tenstorrent
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Demand for FLAN-T5 fine-tuning observed
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Yeah, definitely seeing demand for FLAN-T5, though always for fine-tuning.
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Curie available as ‘curie’ instead of ‘text-curie-001’
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Original pre-trained Curie is available. The model is just “curie” instead of “text-curie-001”.
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AI Breakthrough: Targeting Previously Undruggable Cancer Proteins
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More importantly, the company might contribute to cures for previously incurable diseases. "Undruggable cancer drug targets like MYC and KRAS—which are overexpressed in 75% of cancers—can be revisited and potentially blocked before the protein is ever even produced."
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Atomic AI Breakthrough in RNA Structure Prediction
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Atomic AI cracked the RNA structure prediction problem. The company sits right at the intersection of two revolutions: 1. The RNA Revolution (mRNA vaccines)
2. The AlphaFold Revolution (AI to predict structure)