Analytics Vidhya

FEBRUARY 2, 2024

Apple’s much-anticipated Vision Pro headset has hit the market, boasting an array of features and applications designed to redefine the virtual and augmented reality experience. Priced at $3,499, the Vision Pro is set to cater to a diverse audience, blending entertainment, productivity, and spatial computing. In this article, we delve into the key aspects of […] The post Apple’s Vision Pro Launched with 600 Apps: Here’s All You Need to Know appeared first on Analytics Vidhya.

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Unite.AI

FEBRUARY 2, 2024

In the dynamic landscape of robotics and artificial intelligence, Figure AI has emerged as a trailblazer with its groundbreaking humanoid robots. As a pioneer in the industry, the company is drawing significant attention for its innovative approach to robotics, particularly in the realm of autonomous humanoid workers. Figure AI's recent developments, including a strategic partnership with BMW and substantial funding talks, signal a transformative shift not only in the robotics sector but also ac

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Analytics Vidhya

FEBRUARY 2, 2024

Introduction A Linked List is a data structure consisting of a sequence of nodes, each containing a value and a reference to the next node in the sequence. Unlike arrays, Linked Lists do not require contiguous memory allocation, making them more flexible and efficient for certain operations. In this article, we will explore the advantages […] The post Linked Lists in Python appeared first on Analytics Vidhya.

Python 306

Python 306

Unite.AI

FEBRUARY 2, 2024

Incorporating cognitive conversational AI into modern business strategy is essential, especially in how it transforms customer experiences. This perspective is supported by a PwC survey of business and tech leaders. AI and cognitive technologies are reshaping customer engagement, moving customer experience beyond its traditional role to a vital part of the customer journey, greatly influencing loyalty and perception.

Conversational AI 288

Conversational AI Chatbots AI Chatbots AI 288

Speaker: John Mansour

If you're looking to advance your career in product management, there are more options than just climbing the management ladder. Join our upcoming webinar to learn about highly rewarding career paths that don't involve management responsibilities. We'll cover both career tracks and provide tips on how to position yourself for success in the one that's right for you.

Analytics Vidhya

FEBRUARY 2, 2024

Introduction Checking if an element exists in a list is common in Python programming. Several methods are available to accomplish this, whether you want to search for a number, string, or even a custom object. This article will give you techniques to check if an element exists in a list and discuss its performance considerations. […] The post Check if Element Exists in List in Python appeared first on Analytics Vidhya.

Python 306

Python Deep Learning Data Science Artificial Intelligence 306

Analytics Vidhya

FEBRUARY 2, 2024

In a surprising turn of events, the open-source AI community is abuzz with the revelation of an accidental leak involving Mistral, a Paris-based AI company. The leaked model, named ‘Miqu-1-70b,’ has caught attention for its potential to rival or even surpass the widely acclaimed GPT-4. Let’s delve into the unfolding saga and what it means […] The post Mistral AI’s GPT-4 Competitor ‘Miqu-1-70b’ Leaked appeared first on Analytics Vidhya.

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AI News

FEBRUARY 2, 2024

Andrew Bailey, Governor of the Bank of England , has rebutted fears that AI will lead to widespread unemployment. “I’m an economic historian, before I became a central banker. Economies adapt, jobs adapt, and we learn to work with it. And I think, you get a better result by people with machines than with machines on their own,” Bailey told the BBC.

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Analytics Vidhya

FEBRUARY 2, 2024

Introduction numpy.linspace() is a powerful function in Python’s NumPy library that allows you to create evenly spaced arrays with a specified number of elements. It’s a versatile tool used in various applications, from scientific computing to data analysis and data visualization. In this blog, we’ll explore the ins and outs of numpy.linspace() and how you […] The post What is numpy.linspace() in Python?

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IBM Journey to AI blog

FEBRUARY 2, 2024

There’s a moment in the life of most enterprises where the connection between Domain Name System (DNS) and revenue comes into greater focus. It’s the moment when businesses discover that delivering high-quality applications, services and content requires more attention to the quality of DNS connections. For most businesses, this is also the moment when they discover that the free DNS services offered by domain registrars or DIY systems they’ve been using are no longer fit for p

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Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?

Generative AI

Analytics Vidhya

FEBRUARY 2, 2024

Introduction In the era of big data, organizations are inundated with vast amounts of unstructured textual data. The sheer volume and diversity of information present a significant challenge in extracting insights. Unstructured data, including text documents and social media posts, exacerbates this challenge with its inherent lack of predefined structure, making extracting meaningful insights even […] The post Ways of Converting Textual Data into Structured Insights with LLMs appeared firs

Big Data 295

Big Data Deep Learning Python Artificial Intelligence 295

IBM Journey to AI blog

FEBRUARY 2, 2024

Almost a year ago, IBM encountered a data validation issue during one of our time-sensitive mergers and acquisitions data flows. We faced several challenges as we worked to resolve the issue, including troubleshooting, identifying the problem, fixing the data flow, making changes to downstream data pipelines and performing an ad hoc run of an automated workflow.

Machine Learning 251

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Analytics Vidhya

FEBRUARY 2, 2024

Introduction Python offers developers a wide range of functionalities. Its simplicity and extensive libraries make it a go-to choice for diverse applications, from data analysis, machine learning, and web development to automation and scripting. In this article, we will explore the concept of list slicing in Python, its benefits, syntax, and various techniques to perform […] The post All About Python List Slicing With Examples appeared first on Analytics Vidhya.

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IBM Journey to AI blog

FEBRUARY 2, 2024

Through the GRAMMYs®, the Recording Academy® seeks to recognize excellence in the recording arts and sciences and ensure that music remains an indelible part of our culture. When the world’s top recording stars cross the red carpet at the 66th Annual GRAMMY Awards, IBM will be there once again. This year, the business challenge facing the GRAMMYs paralleled those of other iconic cultural sports and entertainment events: in today’s highly fragmented media landscape, creating

Large Language Models 156

Large Language Models Generative AI Responsible AI LLM 156

Speaker: Scott Sehlhorst

We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.

Analytics Vidhya

FEBRUARY 2, 2024

Introduction In programming and data science, the ability to run Python code online has become a game-changer for developers, learners, and professionals. If you’re seeking the ideal platform, you’re on the right track. This article explores 12 platform to run Python code online and highlights some of the most popular platforms available for this purpose. […] The post 12 Platforms to Run Python Code Online appeared first on Analytics Vidhya.

Python 293

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Cassie Kozyrkov

FEBRUARY 2, 2024

A simple explainer to debuzz these AI buzzwords Continue reading on Towards Data Science »

Data Science 176

Data Science Explainability AI AI 176

Analytics Vidhya

FEBRUARY 2, 2024

As the demand for data-driven insights continues to surge across industries, the role of data scientists has become increasingly crucial. If you’re considering a career in data science or looking to elevate your current position, it’s essential to explore opportunities with companies that are at the forefront of innovation in this dynamic field.

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Data Science Data Scientist AI AI 293

Cassie Kozyrkov

FEBRUARY 2, 2024

A simple explainer to debuzz these AI buzzwords Continue reading on Medium »

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Start-ups & SMBs launching products quickly must bundle dashboards, reports, & self-service analytics into apps. Customers expect rapid value from your product (time-to-value), data security, and access to advanced capabilities. Traditional Business Intelligence (BI) tools can provide valuable data analysis capabilities, but they have a barrier to entry that can stop small and midsize businesses from capitalizing on them.

Data Analysis

Analytics Vidhya

FEBRUARY 2, 2024

Introduction After the Llama and Mistral models were released, the open-source LLMs took the limelight out of OpenAI. Since then, multiple models have been released based on Llama and Mistral architecture, performing on par with proprietary models like GPT-3.5 Turbo, Claude, Gemini, etc. However, these models are too large to be used in consumer hardware. […] The post Fine-tuning A Tiny-Llama Model with Unsloth appeared first on Analytics Vidhya.

OpenAI 292

OpenAI Large Language Models 292

Marktechpost

FEBRUARY 2, 2024

Large language models (LLMs) like GPT-4 require substantial computational power and memory, posing challenges for their efficient deployment. While sparsification methods have been developed to mitigate these resource demands, they often introduce new complexities. For example, these techniques may require extra data structures to support the sparse representations, complicating the system architecture.

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Towards AI

FEBRUARY 2, 2024

Last Updated on February 2, 2024 by Editorial Team Author(s): Florian June Originally published on Towards AI. Including key points, diagrams, and code For RAG, the extraction of information from documents is an inevitable scenario. Ensuring the effectiveness of content extraction from the source is crucial in improving the quality of the final output.

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Algorithm AI AI Machine Learning 121

Marktechpost

FEBRUARY 2, 2024

A groundbreaking development is emerging in artificial intelligence and machine learning: intelligent agents that can seamlessly adapt and evolve by integrating past experiences into new and diverse tasks. These agents, central to advancing AI technology, are being engineered to perform tasks efficiently and learn and improve continuously, thereby enhancing their adaptability across various scenarios.

AI Strategy 129

AI Strategy Machine Learning AI AI 129

Speaker: Anne Steiner and David Laribee

As a concept, Developer Experience (DX) has gained significant attention in the tech industry. It emphasizes engineers’ efficiency and satisfaction during the product development process. As product managers, we need to understand how a good DX can contribute not only to the well-being of our development teams but also to the broader objectives of product success and customer satisfaction.

Towards AI

FEBRUARY 2, 2024

Last Updated on February 2, 2024 by Editorial Team Author(s): Saqib Jan Originally published on Towards AI. Gradio is simply a great choice for creating a customizable user interface for machine learning models to test your proof of concept. Image Source: Hugging Face blog When you have a specific idea in mind, say summarizing an article, a small specialist model that is designed for that specific task can perform just as well as a general-purpose Large Language model.

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Marktechpost

FEBRUARY 2, 2024

Recent advancements in machine learning and artificial intelligence (ML) techniques are used in all fields. These advanced AI systems have been made possible due to advances in computing power, access to vast amounts of data, and improvements in machine learning techniques. LLMs, which require huge amounts of data, generate human-like language for many applications.

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Towards AI

FEBRUARY 2, 2024

Last Updated on February 2, 2024 by Editorial Team Author(s): Kamireddy Mahendra Originally published on Towards AI. “ It is not important to complete tasks blindly. It is important to complete tasks more efficiently with more effectiveness” Photo by Markus Winkler on Unsplash Yes, It is important to understand before getting into this cheat sheet. I hope that you have sufficient knowledge of big data and Hadoop concepts like Map, reduce, transformations, actions, lazy evaluation, and many more

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Data Analysis Big Data Data Science Python 110

Marktechpost

FEBRUARY 2, 2024

In the world of advanced AI, a common challenge developers face is the security and privacy of data, especially when using external services. Many businesses and individuals have strict rules about where their sensitive information can be stored and processed. The existing solutions often involve sending data to external servers, raising concerns about compliance with data protection regulations and control over information.

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While data platforms, artificial intelligence (AI), machine learning (ML), and programming platforms have evolved to leverage big data and streaming data, the front-end user experience has not kept up. Holding onto old BI technology while everything else moves forward is holding back organizations. Traditional Business Intelligence (BI) aren’t built for modern data platforms and don’t work on modern architectures.

Artificial Intelligence

Towards AI

FEBRUARY 2, 2024

Last Updated on February 2, 2024 by Editorial Team Author(s): Kamireddy Mahendra Originally published on Towards AI. The Most Underestimated thing to excel in any field is to build a strong foundation or fundamentals. keep strengthening fundamentals. Image by Gerd Altmann from Pixabay Before getting into the context of this article, it is important to ensure that we are good at the fundamentals that are required to enter into the world of data.

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Data Scientist Data Analysis Explainability AI 108

Artificial Corner

FEBRUARY 2, 2024

Created with DALL-E 3 Hi! In this guest post Diana is sharing with us the best GPTs for image generation on the GPT Store. Diana’s Substack AI Girl is focused on helping you make the most out of AI art tools such as Midjourney, DALL-E 3, and more. In case you’d like to see more of her work subscribe to her Substack. As someone who loves AI art tools, I’ve explored dozens of GPTs for image generation and I chose the best for this list.

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Extreme Tech

FEBRUARY 2, 2024

Anatomically modern humans reached northern central and northwestern Europe 5,000 years earlier than previously believed.

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