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Common pitfalls when building generative AI applications
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Agents
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Building A Generative AI Platform
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Measuring personal growth
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What I learned from looking at 900 most popular open source AI tools
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Predictive Human Preference: From Model Ranking to Model Routing
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Generation configurations: temperature, top-k, top-p, and test time compute
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Multimodality and Large Multimodal Models (LMMs)
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Open challenges in LLM research
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Generative AI Strategy
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RLHF: Reinforcement Learning from Human Feedback
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Building LLM applications for production
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What we look for in a resume
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Self-serve feature platforms: architectures and APIs
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Books that made me think (as an engineer)
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Introduction to streaming for data scientists
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Data Distribution Shifts and Monitoring
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Real-time machine learning: challenges and solutions
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Why data scientists shouldn’t need to know Kubernetes
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A friendly introduction to machine learning compilers and optimizers
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7 reasons not to join a startup and 1 reason to
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Machine Learning Tools Landscape v2 (+84 new tools)
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Machine learning is going real-time
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Course announcement - Machine Learning Systems Design at Stanford!
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What I learned from looking at 200 machine learning tools
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Analysis of compensation, level, and experience details of 19k tech workers
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The books that shaped my decade
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Four lessons I learned after my first full-time job after college
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Key trends from NeurIPS 2019
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What Glassdoor interview reviews reveal about tech hiring cultures
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Free online machine learning curriculum
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Update on Machine Learning Interviews Book
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Top 8 trends from ICLR 2019
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A simple reason why there aren't more women in tech - we're okay with misogyny
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How to build meaningful relationships after college
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Career advice for recent Computer Science graduates
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SOTAWHAT - A script to keep track of state-of-the-art AI research
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A survivor's guide to Artificial Intelligence courses at Stanford (Updated Feb 2020)
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Confession of a so-called AI expert
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