Tue.Feb 06, 2024

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Hugging Face Introduces Open Source Competitor to OpenAI’s GPT Store

Analytics Vidhya

In a move that signals a significant shift in the landscape of AI development, Hugging Face has launched its latest offering, ‘Hugging Chat Assistants.’ This open-source platform aims to rival OpenAI’s GPT Store, providing users with an accessible and free alternative for creating customized AI chatbots. Also Read: What is the GPT Store?

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10 Best AI Pitch Deck Builders

Unite.AI

In the dynamic world of startups and entrepreneurship, making a compelling pitch is crucial for securing funding and support. The art of crafting an effective pitch deck has evolved, with AI-powered tools revolutionizing the way entrepreneurs and businesses present their ideas. These innovative platforms not only streamline the process of creating impactful presentations but also infuse them with data-driven insights and cutting-edge designs.

AI 290
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3 Simple Ways to Convert Bytes to String in Python

Analytics Vidhya

Introduction Converting bytes to a string is a common task in Python, especially when working with data from external sources or APIs. This article delves into three straightforward methods for seamlessly performing this conversion in Python. Whether you’re a novice coder or an experienced developer, mastering these techniques will enhance your proficiency in handling byte […] The post 3 Simple Ways to Convert Bytes to String in Python appeared first on Analytics Vidhya.

Python 293
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UK announces over £100M to support ‘agile’ AI regulation

AI News

The UK government has announced over £100 million in new funding to support an “agile” approach to AI regulation. This includes £10 million to prepare and upskill regulators to address the risks and opportunities of AI across sectors like telecoms, healthcare, and education. The investment comes at a vital time, as research from Thoughtworks shows 91% of British people argue that government regulations must do more to hold businesses accountable for their AI systems.

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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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Accelerate Neural Network Training Using the Net2Net Method

Analytics Vidhya

Introduction Creating new neural network architectures can be quite time-consuming, especially in real-world workflows where numerous models are trained during the experimentation and design phase. In addition to being wasteful, the traditional method of training every new model from scratch slows down the entire design process. In a normal workflow, several models train, with each attempting to […] The post Accelerate Neural Network Training Using the Net2Net Method appeared first on Anal

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5 WhatsApp Groups for Data Science and ML Enthusiasts

Analytics Vidhya

Introduction In the fast-paced world of Data Science and Machine Learning, staying updated with the latest trends, tools, and discussions is crucial for enthusiasts and professionals alike. WhatsApp, the ubiquitous messaging platform, has emerged as an unexpected yet potent medium for knowledge sharing and networking. In this blog, we’ll look into the top 5 WhatsApp […] The post 5 WhatsApp Groups for Data Science and ML Enthusiasts appeared first on Analytics Vidhya.

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Cyber recovery vs. disaster recovery: What’s the difference? 

IBM Journey to AI blog

Today’s enterprises face a broad range of threats to their security, assets and critical business processes. Whether preparing to face a complex cyberattack or natural disaster, taking a proactive approach and selecting the right business continuity disaster recovery (BCDR) solution is critical to increasing adaptability and resilience. Cybersecurity and cyber recovery are types of disaster recovery (DR) practices that focus on attempts to steal, expose, alter, disable or destroy critical

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Build, Deploy, and Manage ML Models with Google Vertex AI

Analytics Vidhya

Vertex AI is a unified platform from Google Cloud offering tools and infrastructure to build, deploy, and manage machine learning models. It caters to various ML needs, including a powerful focus on Generative AI, which allows you to harness the power of large language models (LLMs) for: Importance of GCP Vertex AI in Generative AI […] The post Build, Deploy, and Manage ML Models with Google Vertex AI appeared first on Analytics Vidhya.

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Leland Hyman, Lead Data Scientist at Sherlock Biosciences – Interview Series

Unite.AI

Leland Hyman is the Lead Data Scientist at Sherlock Biosciences. He is an experienced computer scientist and researcher with a background in machine learning and molecular diagnostics. Sherlock Biosciences is a biotechnology company based in Cambridge, Massachusetts developing diagnostic tests using CRISPR. They aim to disrupt molecular diagnostics with better, faster, affordable tests.

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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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AI Car Pitched at Shark Tank India

Analytics Vidhya

On a recent episode of Shark Tank India season 3, viewers witnessed the unveiling of a groundbreaking innovation: an AI car crafted in the humble confines of a backyard garage in Yavatmal, Maharashtra. Harshal Mahadev Nakshane is the visionary behind this pioneering project. He aims to revolutionize the automotive industry with his fusion of artificial […] The post AI Car Pitched at Shark Tank India appeared first on Analytics Vidhya.

AI 291
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Comparing Quantization Techniques for Scalable Vector Search

Unite.AI

Imagine looking for similar things based on deeper insights instead of just keywords. That's what vector databases and similarity searches help with. Vector databases enable vector similarity search. It uses the distance between vectors to find data points in search queries. However, similarity search in high-dimensional data can be slow and resource-intensive.

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LLMs Research Paper in January 2024: Breakthroughs in Size Reduction and Enhanced Performance

Analytics Vidhya

Introduction 2023 has been a year of transformation and advancement for Artificial Intelligence (AI), marking significant strides in the field’s evolution. The relentless pursuit of innovation and integration of state-of-the-art technologies have propelled AI with capability and applicability. This drive for advancement has manifested notably in data science, where Large Language Models (LLMs) emerged as […] The post LLMs Research Paper in January 2024: Breakthroughs in Size Reductio

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Not every DNS traffic spike is a DDoS attack 

IBM Journey to AI blog

You’re a network administrator going about your normal business. Suddenly, you’re seeing a huge spike in inbound traffic to your website, your application or your web service. You immediately shift resources around to cope with the changing pattern, using automated traffic steering to shed load away from overburdened servers. After the immediate danger has passed, your boss asks: what just happened?

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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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All About Python Set difference()

Analytics Vidhya

Introduction Sets are an essential data structure in Python that allows you to store unique and unordered elements. They provide various methods to perform set operations efficiently. One such method is the difference() method, which allows you to find the difference between two sets. They’re your go-to for storing unique, unordered elements. Plus, they’ve got […] The post All About Python Set difference() appeared first on Analytics Vidhya.

Python 288
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Zyphra Open-Sources BlackMamba: A Novel Architecture that Combines the Mamba SSM with MoE to Obtain the Benefits of Both

Marktechpost

Processing extensive sequences of linguistic data has been a significant hurdle, with traditional transformer models often buckling under the weight of computational and memory demands. This limitation is primarily due to the quadratic complexity of the attention mechanisms these models rely on, which scales poorly as sequence length increases. The introduction of State Space Models (SSMs) and mixture-of-experts (MoE) models offered a glimpse into potential solutions, with the former providing a

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5 Methods to Add new keys to a dictionary in Python

Analytics Vidhya

Introduction In Python, a dictionary is a versatile data structure that allows us to store and retrieve data using key-value pairs. It is an unordered collection of elements where a key and its corresponding value represent each element. Adding new keys to a dictionary is a common operation we often encounter while working with Python […] The post 5 Methods to Add new keys to a dictionary in Python appeared first on Analytics Vidhya.

Python 281
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Language Bias, Be Gone! CroissantLLM’s Balanced Bilingual Approach is Here to Stay

Marktechpost

In an era where language models (LMs) predominantly cater to English, a revolutionary stride has been made with the introduction of CroissantLLM. This model bridges the linguistic divide by offering robust bilingual capabilities in both English and French. This development marks a significant departure from conventional models, often biased towards English, limiting their applicability in diverse linguistic landscapes.

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The Data Metaverse: Unpacking the Roles, Use Cases, and Tech Trends in Data and AI

Speaker: Aindra Misra, Sr. Staff Product Manager of Data & AI at BILL (Previously PM Lead at Twitter/X)

Embark on a transformation journey into the heart of the data ecosystem! This webinar is your gateway to a deeper comprehension of the foundations that drive the data industry and will equip you with the knowledge needed to navigate the evolving landscape. Delve into the diverse use cases where data analytics plays a pivotal role. We’ll explore how these applications are transforming with the introduction of Gen AI, and discuss the anticipated use cases for 2024 and beyond.

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30+ Multiple-Choice Questions on Python Variables

Analytics Vidhya

Python variables play a crucial role in programming as they serve as containers to store and manipulate data during program execution. Understanding how variables work in Python is fundamental for anyone learning the language. This set of multiple-choice questions aims to test your knowledge of Python variables, covering topics ranging from basic variable creation to […] The post 30+ Multiple-Choice Questions on Python Variables appeared first on Analytics Vidhya.

Python 280
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CERN Proposes Massive $15B Supercollider to Find Hidden 95% of Universe

Extreme Tech

Three times bigger than the world’s current largest particle accelerator, the Future Circular Collider would focus on tracking down dark matter and dark energy.

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30+ MCQs on Basic Python with Answers

Analytics Vidhya

In the rapidly evolving field of data science, Python has emerged as a cornerstone programming language. It is valued for its versatility, extensive library support, and ease of use in handling complex data tasks. As the preferred programming language for data manipulation, analysis, and visualization, proficiency in Python is a crucial skill sought after by […] The post 30+ MCQs on Basic Python with Answers appeared first on Analytics Vidhya.

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Village by village, creating the building blocks for AI tools with work that also educates

Microsoft AI

Karya is employing rural Indians to build AI datasets for low-resourced languages in India, verified with Microsoft's Azure OpenAI Service.

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Monetizing Analytics Features

Think your customers will pay more for data visualizations in your application? Five years ago, they may have. But today, dashboards and visualizations have become table stakes. Turning analytics into a source of revenue means integrating advanced features in unique, hard-to-steal ways. Download this white paper to discover which features will differentiate your application and maximize the ROI of your analytics.

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Russia and China Deepen Collaboration on Military Use of Artificial Intelligence

Analytics Vidhya

China and Russia have taken significant steps to intensify their collaboration on the military application of artificial intelligence (AI), marking a strategic move that could reshape future warfare. During recent talks in Beijing, officials from both nations exchanged insights and agreed to enhance coordination within international forums. This development underscores the growing importance of AI […] The post Russia and China Deepen Collaboration on Military Use of Artificial Intelligence

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Meet Symbolicai: A Machine Learning Framework that Combines Generative Models and Solvers for Logic-Based Approaches

Marktechpost

Generative AI has recently seen a boom, with large language models (LLMs) showing broad applicability across many fields. These models have improved the performance of numerous tools, including those that facilitate interactions based on searches, program synthesis, chat, and many more. Also, language-based methods have made it easier to link many modalities, which has led to several transformations, such as text-to-code, text-to-3D, text-to-audio, text-to-image, and video.

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7 Ways to Convert String to Bytes in Python

Analytics Vidhya

Introduction In programming, converting data from one format to another is crucial. One such conversion that often arises is converting a string to bytes. This process is essential in Python for various reasons, including data encryption, network communication, and file handling. In this article, we will explore the 7 methods of converting strings to bytes […] The post 7 Ways to Convert String to Bytes in Python appeared first on Analytics Vidhya.

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Apple Researchers Introduce LiDAR: A Metric for Assessing Quality of Representations in Joint Embedding JE Architectures

Marktechpost

Self-supervised learning (SSL) has proven to be an indispensable technique in AI, particularly in pretraining representations on vast, unlabeled datasets. This significantly reduces the dependency on labeled data, often a major bottleneck in machine learning. Despite the merits, a major challenge in SSL, particularly in Joint Embedding (JE) architectures, is evaluating the quality of learned representations without relying on downstream tasks and annotated datasets.

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A Tale of Two Case Studies: Using LLMs in Production

Speaker: Tony Karrer, Ryan Barker, Grant Wiles, Zach Asman, & Mark Pace

Join our exclusive webinar with top industry visionaries, where we'll explore the latest innovations in Artificial Intelligence and the incredible potential of LLMs. We'll walk through two compelling case studies that showcase how AI is reimagining industries and revolutionizing the way we interact with technology. Some takeaways include: How to test and evaluate results 📊 Why confidence scoring matters 🔐 How to assess cost and quality 🤖 Cross-platform cost vs. quality tr

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Google to Replace Bard with Gemini

Analytics Vidhya

Google is poised to revolutionize its AI landscape with the introduction of Gemini Advanced, set to replace the current Google Bard AI search engine. This shift marks a significant leap forward in AI technology, promising enhanced capabilities and a seamless user experience. Let’s delve into the details of this transformative update and its implications.

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Spaceship Titanic- A Machine Learning Project-I for Beginners

Towards AI

Last Updated on February 7, 2024 by Editorial Team Author(s): Kamireddy Mahendra Originally published on Towards AI. “Exploration in space is the testament to human curiosity reaching for the stars.” Photo by SpaceX on Unsplash Spaceship Titanic — A Machine Learning Project It is an innovative venture that combines cutting-edge technology with the boundless possibilities of space exploration.

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How to Add Strings in Python?

Analytics Vidhya

Introduction In Python, string concatenation involves merging multiple strings into one. This is typically achieved using the + operator. Python strings are immutable, meaning that when you concatenate one string to another, a new string is created containing the characters from both original strings. Example: In this example, the + operator is used to concatenate […] The post How to Add Strings in Python?

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