Nice — curious how this compares to learning a modified distance metric as shown here: https://
github.com/openai/openai-
cookbook/blob/main/examples/Customizing_embeddings.ipynb
…
DATA
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Customizing Embeddings and Comparing Distance Metrics in AI
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CIOs Meet New Chief Data Analytics AI Officer Colleagues
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#CIOs , Meet Your New Colleagues: Chief #Data , Analytics and #AI Officers. Collaboration is key as more companies create positions to better use data and manage emerging tech like #ChatGPT
@IsabelleBiscuit
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Automatic Differentiation Bounds Improve ML Training Learning Rates
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A new generalization of automatic differentiation lets researchers compute upper and lower bounds on functions, instead of just derivatives, leading toward more principled learning rate selection during #ML model training. Learn more: https://
goo.gle/417iphD -
CDOs Maximize Business Value with Optimized Data Budget Allocation
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How do top CDOs allocate proportionally less annual revenue to #data yet generate equal or greater business value? Explore four key ways to successfully align your data and business strategies with the right data architecture in place: https://
ibm.co/43B0Lok -
Training Data Quality Impacts AI Model Performance
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Blame the training data! If only it were better….
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Machine Unlearning: Enabling ML Models to Comply with Data Regulations
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The field of machine unlearning, though still nascent, addresses exactly this problem. Could be useful in allowing ML models to satisfy data control regulations. Doing it well is still a significant challenge though.
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Database Toolbox: Essential Tools for Data Science
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What Is Database Toolbox? #DataScience #DataVisualization #SQL
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Modern Data Infrastructures Moving Beyond Traditional ETL Approaches
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Modern #data infrastructures don’t do #ETL https://
infoworld.com/article/369288
9/modern-data-infrastructures-dont-do-etl.html
… via @infoworld -
Automation becomes essential as data volume grows exponentially
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The sheer volume of data makes automation imperative.
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Efficient LLM Training with Sparsity and Dataflow Techniques
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TECHNICAL RESEARCH PAPER: Training Large Language Models Efficiently with Sparsity and Dataflow This paper demonstrates an end-to-end training flow on a LLM – 13 billion GPT – using sparsity and dataflow. @arxiv
: https://
arxiv.org/abs/2304.05511
PDF: https://
arxiv.org/pdf/2304.05511
.pdf
… #ml #llm