Sat.Dec 30, 2023 - Fri.Jan 05, 2024

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60+ Generative AI Terms You Must Know By Heart

Analytics Vidhya

Explore the vast artificial intelligence and machine learning field with this alphabetized guide below. From Agents and AGI to Zero-shot Learning and everything in between, explore the intricate language of AI with concise explanations and vivid examples. Whether you’re a seasoned practitioner or a curious novice, these Generative AI terms aim to be your go-to […] The post 60+ Generative AI Terms You Must Know By Heart appeared first on Analytics Vidhya.

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Survey of 2,778 AI authors: six parts in pictures

AI Impacts

The 2023 Expert Survey on Progress in AI is out , this time with 2778 participants from six top AI venues (up from about 700 and two in the 2022 ESPAI ), making it probably the biggest ever survey of AI researchers. People answered in October, an eventful fourteen months after the 2022 survey, which had mostly identical questions for comparison. Here is the preprint.

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US Chief Justice: AI won’t replace judges but will ‘transform our work’

AI News

In the Federal Judiciary’s year-end report , US Chief Justice John Roberts addressed the potential impact of AI on the judicial system. In particular, he aimed to quell concerns about the obsolescence of judges in the face of technological advancements. “As 2023 draws to a close with breathless predictions about the future of artificial intelligence, some may wonder whether judges are about to become obsolete.

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IBM’s new watson large speech model brings generative AI to the phone 

IBM Journey to AI blog

Most everyone has heard of large language models, or LLMs, since generative AI has entered our daily lexicon through its amazing text and image generating capabilities, and its promise as a revolution in how enterprises handle core business functions. Now, more than ever, the thought of talking to AI through a chat interface or have it perform specific tasks for you, is a tangible reality.

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Usage-Based Monetization Musts: A Roadmap for Sustainable Revenue Growth

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

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Google and Stanford Develop AI Housemaid

Analytics Vidhya

Stanford University has introduced Mobile ALOHA, a robotic system that advances the capabilities of bimanual mobile manipulation through low-cost whole-body teleoperation. This innovation, which builds upon Google DeepMind’s existing ALOHA system, brings mobility and dexterity to the forefront of robotic learning. The project developed in collaboration with Berkeley University and Meta has many features, which […] The post Google and Stanford Develop AI Housemaid appeared first on An

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MyShell releases OpenVoice voice cloning AI

AI News

A new open-source AI called OpenVoice offers voice cloning with unprecedented speed and accuracy. Developed by researchers at MIT, Tsinghua University, and Canadian startup MyShell, OpenVoice uses just seconds of audio to clone a voice and allows granular control over tone, emotion, accent, rhythm, and more. MyShell unveiled OpenVoice in a post this week, linking to a pre-reviewed research paper explaining the technology as well as demo sites on MyShell and HuggingFace where users can try it.

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A brief history of cryptography: Sending secret messages throughout time

IBM Journey to AI blog

Derived from the Greek words for “hidden writing,” cryptography is the science of obscuring transmitted information so that only the intended recipient can interpret it. Since the days of antiquity, the practice of sending secret messages has been common across almost all major civilizations. In modern times, cryptography has become a critical lynchpin of cybersecurity.

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Unveiling the Creative Frontier: Generative AI’s Impact on Design, Innovation, and Collaboration

Analytics Vidhya

Introduction Generative AI, or generative adversarial networks (GANs), is a subset of artificial intelligence that focuses on creating new content, such as images, videos, and music. In recent years, generative AI has made significant strides in design, revolutionizing how we create and interact with digital content. This article will explore the innovations and challenges associated […] The post Unveiling the Creative Frontier: Generative AI’s Impact on Design, Innovation, and Colla

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The Case for Decentralizing Your AI Tech Stack

Unite.AI

So much of the conversation on AI development has become dominated by a futuristic and philosophical debate – should we approach general artificial intelligence , where AI will become advanced enough to perform any task the way a human could? Is that even possible? While the acceleration versus deceleration discussion is important and timely with advancements like the Q-star model, other aspects matter, too.

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Optimizing The Modern Developer Experience with Coder

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.

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OpenAI’s GPT Store to launch next week after delays

AI News

OpenAI has announced that its GPT Store, a platform where users can sell and share custom AI agents created using OpenAI’s GPT-4 large language model, will finally launch next week. An email was sent to individuals enrolled as GPT Builders that urges them to ensure their GPT creations align with brand guidelines and advises them to make their models public: The GPT Store was unveiled at OpenAI’s November developers conference, revealing the company’s plan to enable users to bui

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Artificial Intelligence Brain

Flipboard

Generative AI—think Dall.E, ChatGPT-4, and many more—is all the rage. It’s remarkable successes, and occasional catastrophic failures, have kick-started important debates about both the scope and dangers of advanced forms of artificial intelligence.

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What is MobileNetV2? Features, Architecture, Application and More

Analytics Vidhya

Introduction When it comes to image classification, the nimble models capable of efficiently processing images without compromising accuracy are essential. MobileNetV2 has emerged as a noteworthy contender, with substantial attention. This article explores MobileNetV2’s architecture, training methodology, performance assessment, and practical implementation.

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ChatGPT Meets Its Match: The Rise of Anthropic Claude Language Model

Unite.AI

Over the past year, generative AI has exploded in popularity, thanks largely to OpenAI's release of ChatGPT in November 2022. ChatGPT is an impressively capable conversational AI system that can understand natural language prompts and generate thoughtful, human-like responses on a wide range of topics. However, ChatGPT is not without competition. One of the most promising new contenders aiming to surpass ChatGPT is Claude, created by AI research company Anthropic.

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15 Modern Use Cases for Enterprise Business Intelligence

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?

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Shaping the future of advanced robotics

DeepMind

AutoRT, SARA-RT, and RT-Trajectory build on our historic Robotics Transformers work to help robots make decisions faster, and better understand and navigate their environments.

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How to Red Team a Gen AI Model

Flipboard

Red teaming, a structured testing effort to find flaws and vulnerabilities in an AI system, is an important means of discovering and managing the risks posed by generative AI. The core concept is trusted actors simulate how adversaries would attack any given system. The term was popularized during the Cold War when the U.S. Defense Department tasked “red teams” with acting as the Soviet adversary, while blue teams were tasked with acting as the United States or its allies.

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World’s First AI-Powered Restaurant Opens in California

Analytics Vidhya

CaliExpress by Flippy has opened in California, to be the world's first fully autonomous, AI-powered restaurant, where robots do everything!

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Researchers from Google Propose a New Neural Network Model Called ‘Boundary Attention’ that Explicitly Models Image Boundaries Using Differentiable Geometric Primitives like Edges, Corners, and Junctions

Marktechpost

Distinguishing fine image boundaries, particularly in noisy or low-resolution scenarios, remains formidable. Traditional approaches, heavily reliant on human annotations and rasterized edge representations, often need more precision and adaptability to diverse image conditions. This has spurred the development of new methodologies capable of overcoming these limitations.

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From Diagnosis to Delivery: How AI is Revolutionizing the Patient Experience

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

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Generating value from enterprise data: Best practices for Text2SQL and generative AI

AWS Machine Learning Blog

Generative AI has opened up a lot of potential in the field of AI. We are seeing numerous uses, including text generation, code generation, summarization, translation, chatbots, and more. One such area that is evolving is using natural language processing (NLP) to unlock new opportunities for accessing data through intuitive SQL queries. Instead of dealing with complex technical code, business users and data analysts can ask questions related to data and insights in plain language.

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ChatGPT could soon replace Google Assistant on your Android phone

Flipboard

Asking ChatGPT a question won’t feel as clunky on Android anymore The hottest tech trend of 2023 was generative AI, led by chatbots like OpenAI’s ChatGPT. There are many ways to use ChatGPT on your Android phone, with the easiest being through OpenAI’s official ChatGPT app for Android.

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LLM Training and Inference with Intel(R) Gaudi(R) 2 AI Accelerators

databricks

At Databricks, we want to help our customers build and deploy generative AI applications on their own data without sacrificing data privacy or.

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Meet SPACEL: A New Deep-Learning-based Analysis Toolkit for Spatial Transcriptomics

Marktechpost

Scientists traditionally examine tissues by analyzing the expression levels of genes in individual cells using a technique known as spatial transcriptomics (ST). Researchers gain insights into cells’ spatial organization and function by measuring the quantity of RNA in specific locations within a tissue. Spatial transcriptomics (ST) technologies have been instrumental in unraveling the mysteries of mRNA expression in individual cells while maintaining their spatial coordinates.

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Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin

As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.

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Modernizing data science lifecycle management with AWS and Wipro

AWS Machine Learning Blog

This post was written in collaboration with Bhajandeep Singh and Ajay Vishwakarma from Wipro’s AWS AI/ML Practice. Many organizations have been using a combination of on-premises and open source data science solutions to create and manage machine learning (ML) models. Data science and DevOps teams may face challenges managing these isolated tool stacks and systems.

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6 Strategies For Better Results From ChatGPT, According To OpenAI

Flipboard

OpenAI just released an official prompt engineering guide to help its 180 million users get better results from the platform. The guide shares strategies and tactics that can be combined for greater effect.

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By Jove, It’s No Myth: NVIDIA Triton Speeds Inference on Oracle Cloud

NVIDIA

An avid cyclist, Thomas Park knows the value of having lots of gears to maintain a smooth, fast ride. So, when the software architect designed an AI inference platform to serve predictions for Oracle Cloud Infrastructure’s (OCI) Vision AI service, he picked NVIDIA Triton Inference Server. That’s because it can shift up, down or sideways to handle virtually any AI model, framework and hardware and operating mode — quickly and efficiently.

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Meta Introduces HawkEye: Revolutionizing Machine Learning ML Debugging with Streamlined Workflows

Marktechpost

In machine learning (ML) research at Meta, the challenges of debugging at scale have led to the development of HawkEye, a powerful toolkit addressing the complexities of monitoring, observability, and debuggability. With ML-based products at the core of Meta’s offerings, the intricate nature of data distributions, multiple models, and ongoing A/B experiments pose a significant challenge.

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The Cloud Development Environment Adoption Report

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.

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My Five Favorite AI Papers of 2023

TheSequence

Created Using DALL-E Next Week in The Sequence: Edge 357: Our series about LLM reasoning explores chain-of-thought (CoT) prompting including its original paper. We also explore the ThinkGPT framework. Edge 358: Dives into the AGENTS paper which proposes a framework for building semi-autonomous agents. You can subscribe below! TheSequence is a reader-supported publication.

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Satellite imagery analysis shows immense scale of dark fishing industry

Flipboard

Satellite imagery and machine learning offer a new, far more detailed look at the maritime industry, specifically the number and activities of fishing and transport ships at sea. Turns out there are way more of them than publicly available data would suggest, a fact that policymakers should heed.

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Run Mixtral 8x7b on Google Colab Free

Towards AI

Last Updated on January 2, 2024 by Editorial Team Author(s): Dr. Mandar Karhade, MD. PhD. Originally published on Towards AI. A clever trick allows offloading some layers Hello, wonderful people! 2023 is almost over. But it seems like the development in LLMs has no breather. Today, we will see how Mixtral 8x7B could be run on Google Colab. Google Colab comes with the following confirmation.

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