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: 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

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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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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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 and ethics risks before they become problems.

AI

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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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

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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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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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.

AI

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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Extreme Tech

MARCH 1, 2024

Starship HLS is one step closer to reality.

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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

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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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.

Marktechpost

MARCH 1, 2024

The exploration of refining large language models (LLMs) to enhance their instruction-following prowess has surged, with Reinforcement Learning with AI Feedback (RLAIF) being a promising technique. This method traditionally involves an initial phase of Supervised Fine-Tuning (SFT) using a teacher model’s demonstrations, followed by a reinforcement learning (RL) phase, where a critic model’s feedback fine-tunes the LLM further.

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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

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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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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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

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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Towards AI

MARCH 1, 2024

Author(s): Youssef Hosni Originally published on Towards AI. Prompt Engineering for Instruction – Tuned LLMs LLMs offer a revolutionary approach by enabling the execution of various tasks with a single prompt, streamlining the traditional workflow that involves developing and deploying separate models for distinct objectives. Through practical examples, the article illustrates the efficiency of LLMs in tasks such as sentiment analysis of product reviews, identification of emotions, and ext

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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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Extreme Tech

MARCH 1, 2024

The 'vertical shoebox' design sports an Intel Core Ultra CPU and an RTX 4060.

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Towards AI

MARCH 1, 2024

Last Updated on March 1, 2024 by Editorial Team Author(s): Youssef Hosni Originally published on Towards AI. Prompt Engineering for Instruction – Tuned LLMs LLMs offer a revolutionary approach by enabling the execution of various tasks with a single prompt, streamlining the traditional workflow that involves developing and deploying separate models for distinct objectives.

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Extreme Tech

MARCH 1, 2024

NGC 1559 is all alone out there, but we can marvel from afar, thanks to Webb.

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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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