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Using Generative AI to Build Generative AI

O'Reilly Media

In this post I want to talk about using generative AI to extend one of my academic software projectsthe Python Tutor tool for learning programmingwith an AI chat tutor. Python Tutor is mainly used by students to understand and debug their homework assignment code step-by-step by seeing its call stack and data structures.

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High C Compiler – A C language extension ahead of its time

Hacker News

This is one of Python's most popular features, and High C's variant works a lot like Python. Objective-C got blocks in 2009, which can be used as escaping closures, and C++ got lambdas in 2011, but neither language got the nonlocal exit ability. LABELED ARGUMENTS manual page showing the use of labeled arguments.

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Michael I. Jordan of Berkeley on Learning-Aware Mechanism Design

ODSC - Open Data Science

Rumelhart Prize in 2015, and the ACM/AAAI Allen Newell Award in 2009. He received the Ulf Grenander Prize from the American Mathematical Society in 2021, the IEEE John von Neumann Medal in 2020, the IJCAI Research Excellence Award in 2016, the David E.

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Top 10 Generative AI Companies Revealed

Towards AI

Intelligent Medical Objects 👉Industry domain: AI, Health Tech, IT, NLP, Software, Analytics, Generative AI 👉Location: 3 offices 👉Year founded: 1994 👉Programming languages deployed: Angular, C#, SQL, Scikit, TensorFlow, Spark, GitHub, R, Python 👉Benefits: Flexible time off, family medical leave, pet insurance, (..)

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How Open Source Developers Can Push the Universe’s Frontier

ODSC - Open Data Science

Be sure to check out his talk, “ Space Science with Python — Enabling Citizen Scientists ,” there! 2009, a paper by Postberg et al. Thankfully, as enthusiastic coders, we have THE major astronomy and space science tool to work on all these data, theories, and insights: Python ! Editor’s note: Dr.-Ing. was published in Nature.

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A Practical Guide for identifying important features using Python

Mlearning.ai

Identifying important features using Python Introduction Features are the foundation on which every machine-learning model is built. We will also look at different ways to implement feature importance using Python libraries. Hence, it is easy to import and use in Python. BMC Bioinformatics 10, 213 (2009). JMLR 12, pp.

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Fast and cost-effective LLaMA 2 fine-tuning with AWS Trainium

AWS Machine Learning Blog

For example, to use the RedPajama dataset, use the following command: wget [link] python nemo/scripts/nlp_language_modeling/preprocess_data_for_megatron.py He was a recipient of the NSF Faculty Early Career Development Award in 2009. He founded StylingAI Inc., an AI start-up, and worked as the CEO and Chief Scientist in 2019–2021.

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