Analytics Vidhya

APRIL 9, 2024

Introduction In this article, we will explore what is hypothesis testing, focusing on the formulation of null and alternative hypotheses, setting up hypothesis tests and we will deep dive into parametric and non-parametric tests, discussing their respective assumptions and implementation in python. But our main focus will be on non-parametric tests like the Mann-Whitney U […] The post Comprehensive Guide on Non Parametric Tests appeared first on Analytics Vidhya.

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AI News

APRIL 9, 2024

Stability AI has introduced the latest additions to its Stable LM 2 language model series: a 12 billion parameter base model and an instruction-tuned variant. These models were trained on an impressive two trillion tokens across seven languages: English, Spanish, German, Italian, French, Portuguese, and Dutch. The 12 billion parameter model aims to strike a balance between strong performance, efficiency, memory requirements, and speed.

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Analytics Vidhya

APRIL 9, 2024

Introduction Generative AI has been a hot topic of the 21st century. OpenAI’s ChatGPT, Google Gemini, Microsoft Copilot, and other tools got everybody’s attention and sparked a wave of innovation in artificial intelligence and natural language processing. The continuous development and investment by the leaders in the GenAI era created jobs in areas such as […] The post 10+ New Jobs in The Generative AI Era appeared first on Analytics Vidhya.

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IBM Journey to AI blog

APRIL 9, 2024

At the Masters®, storied tradition meets state-of-the-art technology. Through a partnership spanning more than 25 years, IBM has helped the Augusta National Golf Club capture, analyze, distribute and use data to bring fans closer to the action, culminating in the AI-powered Masters digital experience and mobile app. Now, whether they’re lining the fairways or watching from home, fans can more fully appreciate the performance of the world’s best golfers at the sport’s most

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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

APRIL 9, 2024

Introduction If you are working on Artificial Intelligence or Machine learning models that require the best Text-to-Speech (TTS), then you are on the right path. Text-to-speech (TTS) technology, especially open source, has changed how we interact with digital content. This technology has come a long way; nowadays, we have access to some incredibly natural-sounding and […] The post 9 Best Open Source Text-to-Speech (TTS) Engines appeared first on Analytics Vidhya.

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Analytics Vidhya

APRIL 9, 2024

Oracle Financial Services has unveiled an innovative solution aimed at supporting banks’ efforts to combat money laundering. With the increasing complexity of compliance and the staggering $5.05 trillion expected to be laundered this year, the financial sector faces unprecedented challenges. In response, Oracle Financial Services has introduced the Oracle Financial Services Compliance Agent, an AI-powered […] The post Oracle Develops AI-Powered Solution to Fight Money Laundering appe

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Unite.AI

APRIL 9, 2024

The adoption of Artificial Intelligence (AI) has increased rapidly across domains such as healthcare, finance, and legal systems. However, this surge in AI usage has raised concerns about transparency and accountability. Several times black-box AI models have produced unintended consequences, including biased decisions and lack of interpretability. Composite AI is a cutting-edge approach to holistically tackling complex business problems.

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Analytics Vidhya

APRIL 9, 2024

Introduction In a world where creating content is both an art and a need, writers regularly encounter the frightening image of a blank page and a flashing cursor. For those who wish to express themselves clearly and generate content, freelance, or operate enterprises, writer’s block can be a significant barrier. But amid this struggle, a […] The post Struggle to Write?

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AssemblyAI

APRIL 9, 2024

Our recently announced speech model Universal-1 sets a new standard for automated speech recognition (ASR) accuracy. Universal-1 demonstrates near-human accuracy, even with accented speech, background noise, and difficult phrases like flight numbers and email addresses. The model now is accessible through the same web API as our previous ASR models.

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Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.

Analytics Vidhya

APRIL 9, 2024

Introduction Decoding Neural Networks: Inspired by the intricate workings of the human brain, neural networks have emerged as a revolutionary force in the rapidly evolving domains of artificial intelligence and machine learning. However, before delving deeper into neural networks, it’s essential to grasp the distinction between machine learning and deep learning.

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NVIDIA

APRIL 9, 2024

NVIDIA and Google Cloud have announced a new collaboration to help startups around the world accelerate the creation of generative AI applications and services. The announcement, made today at Google Cloud Next ‘24 in Las Vegas, brings together the NVIDIA Inception program for startups and the Google for Startups Cloud Program to widen access to cloud credits, go-to-market support and technical expertise to help startups deliver value to customers faster.

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Analytics Vidhya

APRIL 9, 2024

In a world inundated with sensor data, understanding the intricate workings of the physical world has always been a challenge. However, a breakthrough has emerged in the form of Archetype AI’s Newton model. This new model revolutionizes how we interpret and interact with sensor data in real-time. Let’s explore its features and applications.

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Marktechpost

APRIL 9, 2024

The evolution of artificial intelligence through the development of Large Language Models (LLMs) has marked a significant milestone in the quest to mirror human-like abilities in generating text, reasoning, and decision-making. However, aligning these models with human ethics and values has remained complex. Traditional methods, such as Reinforcement Learning from Human Feedback (RLHF), have made strides in integrating human preferences by fine-tuning LLMs post-training.

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Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?

Business Intelligence

AWS Machine Learning Blog

APRIL 9, 2024

With Knowledge Bases for Amazon Bedrock , you can securely connect foundation models (FMs) in Amazon Bedrock to your company data for Retrieval Augmented Generation (RAG). Access to additional data helps the model generate more relevant, context-specific, and accurate responses without retraining the FMs. In this post, we discuss two new features of Knowledge Bases for Amazon Bedrock specific to the RetrieveAndGenerate API: configuring the maximum number of results and creating custom prompts wi

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Marktechpost

APRIL 9, 2024

In the rapidly evolving landscape of AI frameworks, two prominent players have emerged: LlamaIndex and LangChain. Both offer unique approaches to enhancing the performance and functionality of large language models (LLMs), but they cater to the developer community’s slightly different needs and preferences. This comparison aims to delve into their key features, use cases, and main differences to help developers decide based on their project requirements.

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databricks

APRIL 9, 2024

At Databricks, we’re committed to building the most efficient and performant training tools for large-scale AI models. With the recent release of DBRX.

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Towards AI

APRIL 9, 2024

Last Updated on April 9, 2024 by Editorial Team Author(s): Ahmed Fessi Originally published on Towards AI. In November 2023, almost one year after ChatGPT 3 was released, OpenAI announced GPTs, allowing users to create and publish their own conversational chatbots, customized as per their instructions, and have them available in the OpenAI marketplace.

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Cloud Development Environments (CDEs) are changing how software teams work by moving development to the cloud. Our Cloud Development Environment Adoption Report gathers insights from 223 developers and business leaders, uncovering key trends in CDE adoption. With 66% of large organizations already using CDEs, these platforms are quickly becoming essential to modern development practices.

Marktechpost

APRIL 9, 2024

Claude and ChatGPT are two compelling options in AI chatbots, each with unique features and capabilities. To discern their strengths and suitability for various applications, let’s compare these two AI chatbots comprehensively. What is Claude? Claude is an AI chatbot developed by an Anthropic AI renowned for its ability to simulate human-like conversations.

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Towards AI

APRIL 9, 2024

Last Updated on April 9, 2024 by Editorial Team Author(s): Towards AI Editorial Team Originally published on Towards AI. What happened this week in AI by Louie For the past few weeks, we have been following an increased pace of voice and music AI model releases. In particular, Suno AI’s v3 music generation model was released two weeks ago and has gained momentum this week, with some referring to it as the “Chatgpt” moment of generative music.

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Marktechpost

APRIL 9, 2024

Jupyter Notebook is a widely used and accessible open-source application that allows to create documents containing code, equations, visualizations, and narrative text. It’s widely used for data cleaning and transformation, numerical simulation, statistical modelling, data visualization, machine learning, and more. Ideal for students, data scientists, and researchers, Jupyter Notebook supports over 40 programming languages like Python, R, Julia, and Scala.

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Marketing AI Institute

APRIL 9, 2024

Despite a solar eclipse, nothing could overshadow the latest AI news! This week on The Artificial Intelligence Show hosts Mike Kaput and Paul Roetzer discuss the implications of Accenture’s earnings from Generative AI, looming legal issues within the AI industry, public perceptions of AI, Amazons future in the AI race and more.

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Speaker: Simran Kaur, Founder & CEO at Tattva Health Inc.

The healthcare landscape is being revolutionized by AI and cutting-edge digital technologies, reshaping how patients receive care and interact with providers. In this webinar led by Simran Kaur, we will explore how AI-driven solutions are enhancing patient communication, improving care quality, and empowering preventive and predictive medicine. You'll also learn how AI is streamlining healthcare processes, helping providers offer more efficient, personalized care and enabling faster, data-driven

AI

Marktechpost

APRIL 9, 2024

In natural language processing, the advent of large language models (LLMs) has transformed how we interact with textual data. Among the tools available for leveraging these powerful models, one stands out for its simplicity and effectiveness: Instructor. Meet Instructor, a Python library that offers a seamless experience for managing structured outputs from LLMs.

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TensorFlow

APRIL 9, 2024

Posted by Alan Kelly , Software Engineer We are excited to announce that XNNPack’s Fully Connected and Convolution 2D operators now support dynamic range quantization. XNNPack is TensorFlow Lite’s CPU backend and CPUs deliver the widest reach for ML inference and remain the default target for TensorFlow Lite. Consequently, improving CPU inference performance is a top priority.

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Marktechpost

APRIL 9, 2024

Large language models (LLMs) excel in language comprehension and reasoning tasks but lack spatial reasoning exploration, a vital aspect of human cognition. Humans demonstrate remarkable skills in mental imagery, termed the Mind’s Eye, enabling imagination of the unseen world. This capability remains relatively unexplored in LLMs, highlighting a gap in their understanding of spatial concepts and their inability to replicate human-like imagination.

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Towards AI

APRIL 9, 2024

Author(s): Youssef Hosni Originally published on Towards AI. Large language models (LLMs) have transformed the field of natural language processing with their advanced capabilities and highly sophisticated solutions. These models, trained on massive datasets of text, perform a wide range of tasks, including text generation, translation, summarization, and question-answering.

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Explore how enterprises can enhance developer productivity and onboarding by adopting self-hosted Cloud Development Environments (CDEs). This whitepaper highlights the simplicity and flexibility of cloud-based development over traditional setups, demonstrating how large teams can leverage economies of scale to boost efficiency and developer satisfaction.

Marktechpost

APRIL 9, 2024

Large Language Models (LLM) have immense capabilities that have advanced remarkably in the last few years. Two primary causes of this increase are the internet’s exponential data growth and ongoing advancements in pre-training methods. Prominent models such as GPT, Gemini, and Llama have raised the bar in a number of areas, including logical reasoning, coding, and creative writing.

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Artificial Lawyer

APRIL 9, 2024

Last year Joe Cohen hit the headlines for his work at global law firm Dentons in building FleetAI, one of the first major legal sector projects founded upon OpenAI’s LLMs.

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Marktechpost

APRIL 9, 2024

Docker container build durations are a common problem for traditional CI/CD solutions today. Time spent building Docker images is a major bottleneck in continuous integration and delivery processes. Containerized apps provide consistent execution across contexts by bundling dependencies and libraries. However, constructing these containers can take a long time, particularly for complicated projects, as they use shared resources and traditional CI/CD providers, causing build times to be very slow

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