Author: Deep Learner

MachineLearning, Uncategorized Leave a comment

Deloitte Introduces Internal Artificial Intelligence Chatbot

Deloitte, a leading accounting and consulting firm, is deploying its internal generative artificial intelligence chatbot, “PairD,” to 75,000 employees across Europe and the Middle East. The tool aims to enhance productivity by assisting in tasks such as creating presentations, composing emails, and writing code. Originally launched in the UK in October, PairD reflects Deloitte’s commitment to embracing AI within the professional services sector. Notably, unlike competitors collaborating with external AI providers, Deloitte developed its AI chatbot internally through the firm’s […]

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Python

Python range(): Represent Numerical Ranges

A range is a Python object that represents an interval of integers. Usually, the numbers are consecutive, but you can also specify that you want to space them out. You can create ranges by calling range() with one, two, or three arguments, as the following examples show: In each example, you use list() to explicitly list the individual elements of each range. You’ll study these examples in more detail soon. A range can sometimes be a powerful tool. However, throughout […]

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MachineLearning, Uncategorized Leave a comment

Advancing transparency: Updates on responsible AI research

Editor’s note: All papers referenced here represent collaborations throughout Microsoft and across academia and industry that include authors who contribute to Aether, the Microsoft internal advisory body for AI ethics and effects in engineering and research. A surge of generative AI models in the past year has fueled much discussion about the impact of artificial intelligence on human history. Advances in AI have indeed challenged thinking  

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MachineLearning, Uncategorized Leave a comment

Research Focus: Week of January 8, 2024

Welcome to Research Focus, a series of blog posts that highlights notable publications, events, code/datasets, new hires and other milestones from across the research community at Microsoft. NEW RESEARCH Mixture-of-Linear-Experts for Long-term Time Series Forecasting  Long-term time series forecasting (LTSF), which aims to predict future values of a series given past values, is an important problem in the machine learning community. It’s useful in areas like weather modeling, traffic flow prediction, and  

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Python

NumPy 2 is coming: preventing breakage, updating your code

If you’re writing scientific or data science code with Python, there’s a good chance you’re using NumPy, directly or indirectly. Pandas, Scikit-Image, SciPy, Scikit-Learn, AstroPy… these and many other packages depend on NumPy. NumPy 2 is a new major release, with a release candidate coming out February 1st 2024, and a final release a month or two later. Importantly, it’s backwards incompatible; not in a major way, but enough that some work might be required to upgrade. And that means […]

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Python

Python Basics Exercises: Functions and Loops

As you learned in Python Basics: Functions and Loops, functions serve as the fundamental building blocks in almost every Python program. They’re where the real action happens! You now know that functions are crucial for breaking down code into smaller, manageable chunks. They enable you to define actions that your program can execute repeatedly throughout your code. Instead of duplicating the same code whenever your program needs to accomplish a particular task, you can simply call the function. However, there […]

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MachineLearning, Uncategorized Leave a comment

Google Set to Introduce Paid Offering ‘Bard Advanced’ to Compete with ChatGPT Plus

In the fiercely competitive landscape of chatbots, Google’s Bard has been a standout for its unlimited free access. However, recent developments hint at a shift as screenshots shared by Android developer Dylan Roussel suggest Bard’s untiered free service might be approaching its twilight. While Google’s initial advantage lies in offering unlimited free access to Bard, the upcoming Bard Advanced is set to introduce a tiered approach. This move aligns more closely with OpenAI’s ChatGPT, which provides both free and paid […]

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Python

Learn From 2023’s Most Popular Python Tutorials and Courses

Python is always getting better, and 2023 brought a number of exciting developments. As part of the Faster CPython project, Python 3.12 is speedier than previous versions. The new release brings improved error messages and more powerful f-strings. You can also enjoy support for the Linux perf profiler, static typing improvements, and changes to subinterpreters. The Python Software Foundation (PSF) focused on enhancing security in 2023, with the help of inaugural Security Developer-in-Residence Seth Michael Larson. As part of this […]

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MachineLearning, Uncategorized Leave a comment

OpenAI’s GPT Store Set to Launch Next Week After Delays

OpenAI is gearing up to unveil its GPT Store, where users can buy and share personalized AI agents created using OpenAI’s extensive language models. The official launch is scheduled for next week, as announced in an email sent to GPT Builders, urging them to ensure their GPT creations adhere to brand guidelines and to make them public. Initially revealed at OpenAI’s November developers conference, the GPT Store allows individuals, limited to ChatGPT Plus and enterprise subscribers, to develop AI agents […]

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MachineLearning, Uncategorized Leave a comment

Pandas iterrows() Method Explained with Examples

Introduction In this tutorial, we will go through the Pandas iterrows() method which is used to iterate over Pandas Data Frame. We will explore the syntax and various parameters of the iterrows function with practical examples to understand its usage. Syntax of Pandas iterrows The syntax of iterrows method is as below – dataframe.iterrows() There are no parameters for dataframe.iterrows() method.  This method returns the following – index: This is the index of the row that can be a label […]

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