Analytics Vidhya

MARCH 1, 2024

Introduction Navigating through JSON data in Python opens doors to seamless data manipulation and analysis. JSON, or JavaScript Object Notation, is a lightweight data exchange format widely employed online. This guide discusses the significance of reading JSON files within Python’s versatile ecosystem. Discover various methods, from leveraging the JSON module to utilizing Pandas and best […] The post Here’s How You Can Read JSON Files in Python appeared first on Analytics Vidhy

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AI News

MARCH 1, 2024

Elon Musk has filed a lawsuit against OpenAI and its CEO, Sam Altman, citing a violation of their nonprofit agreement. The legal battle, unfolding in the Superior Court of California for the County of San Francisco, revolves around OpenAI’s departure from its foundational mission of advancing open-source artificial general intelligence (AGI) for the betterment of humanity.

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Analytics Vidhya

MARCH 1, 2024

Introduction In today’s fast-paced world of local food delivery, ensuring customer satisfaction is key for companies. Major players like Zomato and Swiggy dominate this industry. Customers expect fresh food; if they receive spoiled items, they appreciate a refund or discount voucher. However, manually determining food freshness is cumbersome for customers and company staff.

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Unite.AI

MARCH 1, 2024

In the dynamic intersection of technology and creativity, AI in Marketing stands as a transformative force, reshaping the essence of how brands engage with their audiences. The “ Unleashing creativity through the human-robot duality in marketing ” panel at the 4YFN event, part of the recent Mobile World Congress (MWC) Conference , spotlighted this evolution.

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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

MARCH 1, 2024

Brave Software is expanding its repertoire with the launch of Leo, its AI-powered assistant, on Android devices. Leo, previously exclusive to desktop users, now brings its array of features, from summarizing webpages to writing code, to the fingertips of Android users. Let’s explore the different AI features Leo brings to Android devices. Also Read: Adobe […] The post Brave’s AI Assistant Leo Now Available on Android Devices appeared first on Analytics Vidhya.

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Analytics Vidhya

MARCH 1, 2024

Introduction The Hamming Distance Algorithm is a fundamental tool for measuring the dissimilarity between two pieces of data, typically strings or integers. It calculates the number of positions at which the corresponding elements differ. This seemingly simple concept finds numerous applications in various fields, including error detection and correction, bioinformatics, network routing, and cryptography.

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Marktechpost

MARCH 1, 2024

In artificial intelligence, achieving efficiency in neural networks is a paramount challenge for researchers due to its rapid evolution. The quest for methods minimizing computational demands while preserving or enhancing model performance is ongoing. A particularly intriguing strategy lies in optimizing neural networks through the lens of structured sparsity.

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Analytics Vidhya

MARCH 1, 2024

Addverb Technologies, a renowned figure in the robotics and automation industry, has unveiled three innovative robots at LogiMAT India 2024. Their innovations include India’s first assistive dog robot, a medical cobot, and a collaborative robot. This unveiling marks a significant leap forward in the domains of efficiency, safety, and adaptability across various sectors.

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Marktechpost

MARCH 1, 2024

Large language models (LLMs) stand out for their astonishing ability to mimic human language. These models, pivotal in advancements across machine translation, summarization, and conversational AI, thrive on vast datasets and equally enormous computational power. The scalability of such models has been bottlenecked by the sheer computational demand, making training models with hundreds of billions of parameters a formidable challenge.

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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

NVIDIA

MARCH 1, 2024

Artificial intelligence, like any transformative technology, is a work in progress — continually growing in its capabilities and its societal impact. Trustworthy AI initiatives recognize the real-world effects that AI can have on people and society, and aim to channel that power responsibly for positive change. What Is Trustworthy AI? Trustworthy AI is an approach to AI development that prioritizes safety and transparency for those who interact with it.

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Marktechpost

MARCH 1, 2024

The quest for clean, usable data for pretraining Large Language Models (LLMs) resembles searching for treasure amidst chaos. While rich with information, the digital realm is cluttered with extraneous content that complicates the extraction of valuable data. This challenge becomes particularly pronounced when considering the vastness of the web as a data source for LLMs, which thrive on diverse and extensive datasets to enhance their linguistic capabilities.

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Unite.AI

MARCH 1, 2024

OpenAI unveiled its latest AI creation – Sora , a revolutionary text-to-video generator capable of producing high-fidelity, coherent videos up to 1 minute long from simple text prompts. Sora represents a massive leap forward in generative video AI, with capabilities far surpassing previous state-of-the-art models. In this post, we’ll provide a comprehensive technical dive into Sora – how it works under the hood, the novel techniques OpenAI leveraged to achieve Sora's incredible video

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Marktechpost

MARCH 1, 2024

Large multimodal models (LMMs) have the potential to revolutionize how machines interact with human languages and visual information, offering more intuitive and natural ways for machines to understand our world. The challenge in multimodal learning involves accurately interpreting and synthesizing information from textual and visual inputs. This process is complex due to the need to understand the distinct properties of each modality and effectively integrate these insights into a cohesive unde

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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.

NVIDIA

MARCH 1, 2024

Interest in new AI applications reached a fever pitch last year as business leaders began exploring AI pilot programs. This year, they’re focused on strategically implementing these programs to create new value and sharpen their competitive advantage. GTC , NVIDIA’s conference on AI and accelerated computing, set for March 18-21 at the San Jose Convention Center, will feature leaders across a broad swath of industries discussing how they’re charting the path to AI-driven innovation.

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Marktechpost

MARCH 1, 2024

The challenge of tailoring general-purpose LLMs to specific tasks without extensive retraining or additional data persists even after significant advancements in the field. Adapting LMs for specialized tasks often requires substantial computational resources and domain-specific data. Traditional methods involve finetuning the entire model on task-specific datasets, which can be computationally expensive and data-intensive, creating a barrier for applications with limited resources or those requi

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AWS Machine Learning Blog

MARCH 1, 2024

At AWS re:Invent 2023, we announced the general availability of Knowledge Bases for Amazon Bedrock. With a knowledge base, you can securely connect foundation models (FMs) in Amazon Bedrock to your company data for fully managed Retrieval Augmented Generation (RAG). In a previous post , we described how Knowledge Bases for Amazon Bedrock manages the end-to-end RAG workflow for you and shared details about some of the recent feature launches.

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Marktechpost

MARCH 1, 2024

When an error or misunderstanding arises, modern LLMs can theoretically reflect on and refine their answers because they are interactive systems capable of multi-turn interaction with users. Previous research has demonstrated that LLMs can enhance their responses using additional conversational context, such as Chain-of-Thought reasoning. However, LLMs designed to maximize human preference can display sycophantic behavior, meaning they will give answers that match what the user thinks is right,

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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

Ofemwire

MARCH 1, 2024

As a content writer, it’s tough to keep coming up with fresh and interesting content. Content writers are always searching for new ways to make their content better and reach more people. That’s where Gemini AI Prompts For SEO Content come in. The new way to write SEO content, In this post, we’ll show you how Gemini AI can transform your SEO strategy.

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Marktechpost

MARCH 1, 2024

In recent research, the concept of radioactivity in the context of Large Language Models (LLMs) has been discussed, with particular attention to the detectability of texts created by LLMs. Here, radioactivity refers to the detectable residues left in a model that has been refined using information produced by an additional LLM. Given the growing blurring of the boundaries between machine-generated and human-generated material, this research is essential to comprehend the ramifications of reusing

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Machine Learning Mastery

MARCH 1, 2024

In the realm of data analysis, SQL stands as a mighty tool, renowned for its robust capabilities in managing and querying databases. However, Python’s pandas library brings SQL-like functionalities to the fingertips of analysts and data scientists, enabling sophisticated data manipulation and analysis without the need for a traditional SQL database.

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Marktechpost

MARCH 1, 2024

The prowess of Large Language Models (LLMs) such as GPT and BERT has been a game-changer, propelling advancements in machine understanding and generation of human-like text. These models have mastered the intricacies of language, enabling them to tackle tasks with remarkable accuracy. Their application in real-time scenarios is hampered by a critical limitation: the inference speed.

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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.

AWS Machine Learning Blog

MARCH 1, 2024

The rise of artificial intelligence (AI) has created opportunities to improve the customer experience in the contact center space. Machine learning (ML) technologies continually improve and power the contact center customer experience by providing solutions for capabilities like self-service bots, live call analytics, and post-call analytics. Self-service bots integrated with your call center can help you achieve decreased wait times, intelligent routing, decreased time to resolution through sel

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Marktechpost

MARCH 1, 2024

Point clouds serve as a prevalent representation of 3D data, with the extraction of point-wise features being crucial for various tasks related to 3D understanding. While deep learning methods have made significant strides in this domain, they often rely on large and diverse datasets to enhance feature learning, a strategy commonly employed in natural language processing and 2D vision.

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Extreme Tech

MARCH 1, 2024

Intel is the first foundry to plunk down a truckload of cash for ASML's most advanced chip manufacturing machines.

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Marktechpost

MARCH 1, 2024

The CHiME-8 MMCSG task focuses on the challenge of transcribing conversations recorded using smart glasses equipped with multiple sensors, including microphones, cameras, and inertial measurement units (IMUs). The dataset aims to help researchers to solve problems like activity detection and speaker diarization. While the model’s aim is to accurately transcribe both sides of natural conversations in real-time, considering factors such as speaker identification, speech recognition, diarization, a

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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

NYU Center for Data Science

MARCH 1, 2024

Cristina Savin’s Artificial & Biological Computation Lab and the Quest to Bridge Neural Science and AI Unveiling the Brain’s Secrets and the Path to Next-Generation AI In the quest to unravel the complexities of the human brain, a tool older and more sophisticated than any technology at our disposal, Cristina Savin’s Artificial & Biological Computation lab at NYU stands as a beacon of innovation.

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Marktechpost

MARCH 1, 2024

Creating a model that excels at understanding, holding conversations, and solving complex problems has always been challenging in artificial intelligence. The goal is to develop a system that can chat like a human and think and reason through difficult questions. This balancing act is crucial because, in many cases, models who are great conversationalists may need help with complex reasoning tasks and vice versa.

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Extreme Tech

MARCH 1, 2024

It can now access system settings, use plug-ins for a variety of popular apps, and lots more.

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