Fri.Mar 01, 2024

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Here’s How You Can Read JSON Files in Python

Analytics Vidhya

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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The Rising Impact of AI on Election Scams This Season

Unite.AI

In 2022, malicious emails targeting Pennsylvania county election workers surged around its primary elections on May 17, rising more than 546% in six months. Paired with the potential for nefarious large language models (LLMs) on top of these traditional phishing attacks, there’s a high likelihood that the everyday American will be the target of an even more realistic scam this election season.

AI 297
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How to Use OLA’s Krutrim?

Analytics Vidhya

Introduction Bhavish Aggarwal, the visionary behind Ola and Ola Electric, has launched Krutrim, a pioneering AI startup set to redefine the Indian AI landscape. Krutrim marks a significant leap forward, aiming to democratize AI access while staying deeply rooted in Indian values and data. With over 10 Indian languages supported, including English, Hindi, Tamil, and […] The post How to Use OLA’s Krutrim?

AI 288
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Elon Musk sues OpenAI over alleged breach of nonprofit agreement

AI News

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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From Developer Experience to Product Experience: How a Shared Focus Fuels Product Success

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.

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Building a Deep Learning-based Food Quality Detector

Analytics Vidhya

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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Brave’s AI Assistant Leo Now Available on Android Devices

Analytics Vidhya

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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AssemblyAI Java SDK New Features & Improvements

AssemblyAI

Hey 👋, this weekly update contains the latest info on our new product features, tutorials, and our community. Join Us On Discord ⚡️AssemblyAI Java SDK: Latest Release We've updated our  Java SDK  with improved real-time transcription controls, new content safety features, and an additional LLM, Claude 2.1 to  LeMUR.

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All About Hamming Distance Algorithm

Analytics Vidhya

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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The University of Calgary Unleashes Game-Changing Structured Sparsity Method: SRigL

Marktechpost

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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Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications

Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage

Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.

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Addverb Launches India’s First Assistive Dog Robot

Analytics Vidhya

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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NeuScraper: Pioneering the Future of Web Scraping for Enhanced Large Language Model Pretraining

Marktechpost

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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What Is Trustworthy AI?

NVIDIA

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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How Does Machine Learning Scale to New Peaks? This AI Paper from ByteDance Introduces MegaScale: Revolutionizing Large Language Model Training with Over 10,000 GPUs

Marktechpost

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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The Path to Product Excellence: Avoiding Common Pitfalls and Enhancing Communication

Speaker: David Bard, Principal at VP Product Coaching

In the fast-paced world of digital innovation, success is often accompanied by a multitude of challenges - like the pitfalls lurking at every turn, threatening to derail the most promising projects. But fret not, this webinar is your key to effective product development! Join us for an enlightening session to empower you to lead your team to greater heights.

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Video Generation AI: Exploring OpenAI’s Groundbreaking Sora Model

Unite.AI

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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Meet TinyLLaVA: The Game-Changer in Machine Learning with Smaller Multimodal Frameworks Outperforming Larger Models

Marktechpost

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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Live at GTC: Hear From Industry Leaders Using AI to Drive Innovation and Agility

NVIDIA

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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This AI Paper from Harvard Introduces Q-Probing: A New Frontier in Machine Learning for Adapting Pre-Trained Language Models

Marktechpost

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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Reimagined: Building Products with Generative AI

“Reimagined: Building Products with Generative AI” is an extensive guide for integrating generative AI into product strategy and careers featuring over 150 real-world examples, 30 case studies, and 20+ frameworks, and endorsed by over 20 leading AI and product executives, inventors, entrepreneurs, and researchers.

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Prompt Engineering Best Practices: Textual Inference & Sentiment Analysis

Towards AI

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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Questioning the Value of Machine Learning Techniques: Is Reinforcement Learning with AI Feedback All It’s Cracked Up to Be? Insights from a Stanford and Toyota Research Institute AI Paper

Marktechpost

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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30 Unique Gemini AI Prompts For SEO Content

Ofemwire

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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SalesForce AI Research Proposed the FlipFlop Experiment as a Machine Learning Framework to Systematically Evaluate the LLM Behavior in Multi-Turn Conversations

Marktechpost

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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Driving Business Impact for PMs

Speaker: Jon Harmer, Product Manager for Google Cloud

Move from feature factory to customer outcomes and drive impact in your business! This session will provide you with a comprehensive set of tools to help you develop impactful products by shifting from output-based thinking to outcome-based thinking. You will deepen your understanding of your customers and their needs as well as identifying and de-risking the different kinds of hypotheses built into your roadmap.

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Knowledge Bases for Amazon Bedrock now supports hybrid search

AWS Machine Learning Blog

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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This Paper from Meta AI Investigates the Radioactivity of LLM-Generated Texts

Marktechpost

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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Prompt Engineering Best Practices: Textual Inference & Sentiment Analysis

Towards AI

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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Unlocking Speed and Efficiency in Large Language Models with Ouroboros: A Novel Artificial Intelligence Approach to Overcome the Challenges of Speculative Decoding

Marktechpost

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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The Big Payoff of Application Analytics

Outdated or absent analytics won’t cut it in today’s data-driven applications – not for your end users, your development team, or your business. That’s what drove the five companies in this e-book to change their approach to analytics. Download this e-book to learn about the unique problems each company faced and how they achieved huge returns beyond expectation by embedding analytics into applications.

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Beyond SQL: Transforming Real Estate Data into Actionable Insights with Pandas

Machine Learning Mastery

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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Meet Swin3D++: An Enhanced AI Architecture based on Swin3D for Efficient Pretraining on Multi-Source 3D Point Clouds

Marktechpost

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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ODSC’s AI Weekly Recap: Week of March 1st

ODSC - Open Data Science

Open Data Science Blog Recap Paris-based Mistral AI is emerging as a formidable challenger to industry giants like OpenAI and Anthropic. ( Source ) Texas A&M has joined the Artificial Intelligence Safety Institute Consortium (AISIC), focusing on AI safety and reliability ( Source ) The Swiss National Science Foundation (SNSF) has set a stance on its position concerning the deployment of artificial intelligence technologies by researchers seeking its funding. ( Source ) Google CEO Sundar Pich