Azure OpenAI Essentials — A practical guide to unlocking Generative #AI-powered innovation with Azure OpenAI: http://
amzn.to/3EWMFWk via @PacktDataML ——
#GenAI #MachineLearning #DataScience
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𝓚𝓮𝔂 𝓕𝓮𝓪𝓽𝓾𝓻𝓮𝓼:
Explore the capabilities of Azure OpenAI’s LLMs Craft
MACHINE LEARNING
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Azure OpenAI Essentials: Practical Guide to Generative AI Innovation
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Unlocking Data with Generative AI and RAG Integration
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Unlocking Data with #GenerativeAI and RAG — Enhance Generative #AI systems by integrating internal data with large language models using RAG: http://
amzn.to/3PtFHdv v/ @PacktDataML —————
#GenAI #LLMs #MachineLearning #KnowledgeGraph #DataScience #DataScientist -
PANDAS Cookbook: Practical Recipes for Scientific Computing and Data Analysis
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PANDAS Cookbook — Practical recipes for scientific computing, time series and exploratory data analysis using #Python: http://
amzn.to/3Y0XRY5 v/ @PacktDataML [3rd ed.]
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#DataScience #ComputationalScience #Analytics #MachineLearning #DataScientist
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What you will learn: The -
Modern Computer Vision with PyTorch Deep Learning Second Edition
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2nd Edition, 746 pages, massive! Modern #ComputerVision with #PyTorch #DeepLearning — from practical fundamentals to advanced applications and #GenerativeAI: http://
amzn.to/3xAkB7X v/ @PacktDataML ——
#DataScience #MachineLearning #AI #ML #GenAI #DataScientist
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𝓚𝓮𝔂 -
Modern Time Series Forecasting with Python ML and Deep Learning
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Modern #TimeSeries #Forecasting with #Python — Industry-ready #MachineLearning and #DeepLearning time series analysis with PyTorch and PANDAS: http://
amzn.to/4eP5yYt via @PacktDataML 𝓚𝓮𝔂 𝓕𝓮𝓪𝓽𝓾𝓻𝓮𝓼: Apply ML and global models to improve forecasting accuracy through -
Graph Machine Learning 2nd Edition: PyTorch Examples Released
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2nd Edition — New release! Order now at http://
amzn.to/45Y3LyI Graph Machine Learning — the latest advancements in graph data to build robust machine learning algorithms. 𝓚𝓮𝔂 𝓕𝓮𝓪𝓽𝓾𝓻𝓮𝓼: Master new graph ML techniques through updated examples using PyTorch -
Databricks Data Engineering Books from Packt Data ML
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Databricks Data Engineering books from @PacktDataML 1–Cookbook: http://
amzn.to/3xbt6Gc 2–Modern Data Applications: http://
amzn.to/3DbYgQF 3–Machine Learning: http://
amzn.to/3XH24ld 4–Certified Developer for Apache Spark with Python: http://
amzn.to/4fQigH8 -
Madam Algorithm Preserves Precision in UE8M0 Training Format
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There is a wrong notion that precision is sacrificed in UE8M0. That is not the case. You can retain the original accuracy even when you directly train in that format when you use our Madam algorithm https://
x.com/AnimaAnandkuma
r/status/1958573570688524596
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Measuring AI Model Improvements Through Expert-Evaluated Tasks
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I only say partially since we can measure the impact of AI improvement more directly on meaningful tasks: better coding, fewer hallucinations in summarizing a complex medical case, etc. In these situations, experts can see meaningful small differences among models as they improve