Interested in building AI-powered search but don't know where to start? Introducing Embeddings by Cohere AI Embeddings are a way to represent the meaning of text in a numerical form. Cohere's model can convert texts to embeddings out-of-the-box. https://
dashboard.cohere.ai/welcome/regist
er?utm_source=influencer&utm_medium=social&utm_campaign=shubham
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MACHINE LEARNING
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Cohere AI Embeddings: Convert Text to Numerical Representations
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Building Google-like AI Search Engine with Python
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How to build Google-like AI-powered search using Python in 15 minutes? (A thread)
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MIT Researchers Advance Uncertainty Measurement in Computer Vision
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Computer scientists are keen to explore the boundaries and uncertainty in computer vision which plays a critical role in making accurate visual input judgments. Read how a group of researchers from @MIT measured uncertainty accurately: https://
bit.ly/3XfhEk8 -
Statistics for Data Science: Important Concepts and Practical Use Cases Playlist
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4. Sumanth P I have created an entire playlist of important concepts of statistics for Data Science with practical use cases Check this: http://
youtube.com/playlist?list=
PLfAC1GPuK4j_VCcZGof9s7M4x5wWtJR4y
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Khan Academy: Best Channel for Learning Statistics in Data Science
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1. Khan Academy Arguably the best channel to learn Statistics for Data Science Check this: http://
youtube.com/playlist?list=
PL1328115D3D8A2566
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Free UN SDGs Education Courses for Youth in Technology
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New #youth Opps! Superb free #SDGs #education courses via @UN #Sustainability See http://
bit.ly/SDGSCourses #TechForGood #Africa @Shi4Tech #America #Asia #Australia @DigitalColmer @SpirosMargaris #AI @Corix_JC #STEM @DrFerdowsi @gvalan #education @ILoveBooks786 #ML @Brain_Chain -
New AI and ML Advances Today: Industry Perspectives
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Tell us what more new advances you see today in the fields of AI and ML! @iLiftOFF @fluidAI1 @jibuelias @GeetikaSachdev @_DigitalIndia @nasscom
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Elf-Attention Models and the ORC Challenge
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Can models based on the Elf-Attention mechanism tackle the ORC challenge?
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Chain-of-Thought Prompting Enhances Language Model Reliability
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Fascinating work combining chain-of-thought prompting and tool use to improve the reliability of language models.
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No Course Recordings Available Yet, Stanford MLSys Guest Lectures Planned
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There are no recordings yet. Will keep eye on it in case they release them. (For new iteration of the course, there are guest lectures being hosted in collaboration with Stanford MLSys, https://
mlsys.stanford.edu)