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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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

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

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.

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Speaker: Kevin Burke

AI is reshaping marketing and sales, empowering professionals to work smarter, faster, and more effectively. This webinar will provide a practical introduction to AI, focusing on its current applications, transformative potential, and strategies for successful implementation in your organization. Using real-world examples and actionable insights, we’ll examine how businesses are leveraging AI to increase efficiency, enhance personalization, and drive measurable results.

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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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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.

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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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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.

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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.

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Speaker: Joe Stephens, J.D., Attorney and Law Professor

Ready to cut through the AI hype and learn exactly how to use these tools in your legal work? Join this webinar to get practical guidance from attorney and AI legal expert, Joe Stephens, who understands what really matters for legal professionals! What You'll Learn: Evaluate AI Tools Like a Pro 🔍 Learn which tools are worth your time and how to spot potential security risks before they become problems.

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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

As the world grapples with the realities of climate change , sustainability has evolved from a buzzword to a global imperative. Countries, communities and corporations are seeking ways to slow the pace of change and reduce the impact of human and business activities on the environment. Today, sustainability efforts are being shaped by new urgency and new technology.

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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

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Cassie Kozyrkov

FEBRUARY 2, 2024

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

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Data Science Explainability AI AI 242

Speaker: Carolyn Clark and Miriam Connaughton

Forget predictions, let’s focus on priorities for the year and explore how to supercharge your employee experience. Join Miriam Connaughton and Carolyn Clark as they discuss key HR trends for 2025—and how to turn them into actionable strategies for your organization. In this dynamic webinar, our esteemed speakers will share expert insights and practical tips to help your employee experience adapt and thrive.

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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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Python Data Analysis Machine Learning Automation 261

Cassie Kozyrkov

FEBRUARY 2, 2024

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

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Analytics Vidhya

FEBRUARY 2, 2024

Introduction Python is a versatile programming language that offers a wide range of data structures. One such structure is a list, which allows you to store multiple values in a single variable. However, when performing complex mathematical operations or working with large datasets, Python lists may not be the most efficient option. This is where […] The post How to Convert Python List to NumPy Arrays?

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Python 254

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

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Large Language Models Generative AI Responsible AI LLM 156

Speaker: Joe Stephens, J.D., Attorney and Law Professor

Get ready to uncover what attorneys really need from you when it comes to trial prep in this new webinar! Attorney and law professor, Joe Stephens, J.D., will share proven techniques for anticipating attorney needs, organizing critical documents, and transforming complex information into compelling case presentations. Key Learning Objectives: Organization That Makes Sense 🎯 Learn how to structure and organize case materials in ways that align with how attorneys actually work and think.

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.

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Marktechpost

FEBRUARY 2, 2024

In computational linguistics and artificial intelligence, researchers continually strive to optimize the performance of large language models (LLMs). These models, renowned for their capacity to process a vast array of language-related tasks, face significant challenges due to their expansive size. For instance, models like GPT-3, with 175 billion parameters, require substantial GPU memory, highlighting a need for more memory-efficient and high-performance computational methods.

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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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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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Speaker: David Warren and Kevin O'Neill Stoll

Transitioning to a usage-based business model offers powerful growth opportunities but comes with unique challenges. How do you validate strategies, reduce risks, and ensure alignment with customer value? Join us for a deep dive into designing effective pilots that test the waters and drive success in usage-based revenue. Discover how to develop a pilot that captures real customer feedback, aligns internal teams with usage metrics, and rethinks sales incentives to prioritize lasting customer eng

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.

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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.

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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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Marktechpost

FEBRUARY 2, 2024

For LLMs, auto-regressive decoding is now considered the gold standard. Because LLMs generate output tokens individually, the procedure is time-consuming and expensive. Methods based on speculative sampling provide an answer to this problem. In the first, called the “draft” phase, LLMs are hypothesized at little cost; in the second, called the “verification” phase, all of the proposed tokens are checked in parallel using a single forward pass of the LLM.

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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

With the rise of Large Language Models (LLMs) in recent years, generative AI has made significant strides in the field of language processing, showcasing impressive abilities in a wide array of tasks. Given their potential in solving complex tasks, researchers have made quite a number of attempts to apply these models in the field of drug discovery to optimize the task.

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Large Language Models ML Generative AI AI 126

Extreme Tech

FEBRUARY 2, 2024

AVX-512 functionality is once again MIA.

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