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

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Outsmarting the Masters: How Weak AI Trains Super AI

Towards AI

Last Updated on January 2, 2024 by Editorial Team Author(s): Yunzhe Wang Originally published on Towards AI. Superintelligent AI systems will be extraordinarily powerful; humans could face catastrophic risks including even extinction if those systems are misaligned or misused. It is important for AI developers to have a plan for aligning superhuman models ahead of time — before they have the potential to cause irreparable harm.

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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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Revolutionizing 3D Printing: Generative AI’s Role in Sustainable Design

Unite.AI

Sustainability is a pressing concern in modern industries, including the field of 3D Printing. To meet the increasing demand for eco-friendly manufacturing practices, 3D Printing has emerged as a promising solution. However, there are still several challenges that need to be addressed in order to make 3D Printing more sustainable. At the forefront of this transformative shift is Generative AI , a powerful force that has the potential to enhance the sustainable capabilities of 3D Printing.

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How To Get Promoted In Product Management

Speaker: John Mansour

If you're looking to advance your career in product management, there are more options than just climbing the management ladder. Join our upcoming webinar to learn about highly rewarding career paths that don't involve management responsibilities. We'll cover both career tracks and provide tips on how to position yourself for success in the one that's right for you.

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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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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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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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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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Navigating the Future: Generative AI, Application Analytics, and Data

Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?

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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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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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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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Safetensors: A Secure Approach to Storing and Distributing Tensors

Analytics Vidhya

Introduction In Artificial intelligence and machine learning, the demand for efficient and secure data handling has never been greater. One crucial element in this process is the management of tensors, the fundamental building blocks of machine learning models. As the volume of sensitive data used in these models continues to rise, ensuring the security and […] The post Safetensors: A Secure Approach to Storing and Distributing Tensors appeared first on Analytics Vidhya.

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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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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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Getting Started with Gemini API: A Comprehensive Practical Guide

Towards AI

Last Updated on January 3, 2024 by Editorial Team Author(s): Youssef Hosni Originally published on Towards AI. Getting Started with Google's Latest Multi-Modal AI Model Gemini, the latest LLM model from Google, marks a significant leap forward in the realm of perfect answers to your questions using images, audio, and text. Concurrently, Bard, its predecessor, is making a notable comeback.

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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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Hands-On Guide To Librosa For Handling Audio Files

Analytics Vidhya

Introduction Librosa is a powerful Python library that offers a wide range of tools and functionalities for handling audio files. Whether you’re a music enthusiast, a data scientist, or a machine learning engineer, Librosa can be a valuable asset in your toolkit. In this hands-on guide, we will explore the importance of Librosa for audio […] The post Hands-On Guide To Librosa For Handling Audio Files appeared first on Analytics Vidhya.

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How to Improve Email Deliverability and Optimize Each Send

Learn how to optimize email deliverability and drive greater email ROI. What lands your email in the customer’s inbox? Understanding those factors, otherwise known as email deliverability, is critical to getting the most return on your campaign investments. But the “rules” around which factors land you in the spam folder aren’t always easy to keep up with.

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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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A Gentle Introduction to Computer Vision

Towards AI

Last Updated on January 3, 2024 by Editorial Team Author(s): Davide Nardini Originally published on Towards AI. In this article, I will introduce you to Computer Vision, explain what it is and how it works, and explore its algorithms and tasks.Foto di Ion Fet su Unsplash In the realm of Artificial Intelligence, Computer Vision stands as a fascinating and revolutionary field.

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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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10 Best AI Image Enhancers To Use in 2024

Analytics Vidhya

Introduction In an era where visuals hold immense power, the quest for enhancing images has reached new heights. Enter AI image enhancers – revolutionary tools leveraging the prowess of artificial intelligence to transform ordinary visuals into extraordinary masterpieces. These AI-powered solutions employ sophisticated algorithms to elevate image quality, sharpen details, and breathe life into every […] The post 10 Best AI Image Enhancers To Use in 2024 appeared first on Analytics Vidhya.

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Understanding User Needs and Satisfying Them

Speaker: Scott Sehlhorst

We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.

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This AI Paper Explores How Code Integration Elevates Large Language Models to Intelligent Agents

Marktechpost

The field of Artificial Intelligence (AI) is set for a revolutionary change in the coming years. In a recent research paper, a team of researchers from the University of Illinois Urbana-Champaign has offered a thorough and detailed study of the mutually beneficial relationship that exists between code and Large Language Models (LLMs). This study has illuminated how code is essential to turning LLMs into intelligent agents and opens up a world of possibilities beyond traditional language comprehe

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Unveiling FlashAttention-2

Towards AI

Last Updated on January 3, 2024 by Editorial Team Author(s): Florian Originally published on Towards AI. The demand for new scenarios, such as long document queries and story writing, has resulted in an increase in the context length of large language models. For example, GPT-4 has a context length of 32k, and Anthropic’s Claude has a context length of 100k.

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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. As a shared global resource, the oceans […] © 2023 TechCrunch.

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You Can Now Edit Text in Images Using Alibaba’s AnyText

Analytics Vidhya

In a significant breakthrough, Alibaba has successfully addressed the long-standing challenge of integrating coherent and readable text into images with the introduction of AnyText. This state-of-the-art framework for multilingual visual text generation and editing marks a remarkable advancement in the realm of text-to-image synthesis. Let’s delve into the intricacies of AnyText, exploring its methodology, core […] The post You Can Now Edit Text in Images Using Alibaba’s AnyTex

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How Embedded Analytics Gets You to Market Faster with a SAAS Offering

Start-ups & SMBs launching products quickly must bundle dashboards, reports, & self-service analytics into apps. Customers expect rapid value from your product (time-to-value), data security, and access to advanced capabilities. Traditional Business Intelligence (BI) tools can provide valuable data analysis capabilities, but they have a barrier to entry that can stop small and midsize businesses from capitalizing on them.

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This Paper from MIT and Microsoft Introduces ‘LASER’: A Novel Machine Learning Approach that can Simultaneously Enhance an LLM’s Task Performance and Reduce its Size with no Additional Training

Marktechpost

Transformer-based LLMs have significantly advanced machine learning capabilities, showcasing remarkable proficiency in domains like natural language processing, computer vision, and reinforcement learning. These models, known for their substantial size and computational demands, have been at the forefront of AI development. However, a central challenge still needs to be solved in optimizing their performance without further escalating their already considerable size and computational requirement

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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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Open source AI voice cloning arrives with MyShell’s new OpenVoice model

Flipboard

Startups including the increasingly well-known ElevenLabs have raised millions of dollars to develop their own proprietary algorithms and AI software for making voice clones — audio programs that mimic the voices of users.

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