Sat.Dec 23, 2023 - Fri.Dec 29, 2023

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A Comprehensive Guide to Implement HuggingFace Models Using Langchain

Analytics Vidhya

Introduction Large Language Models have been the backbone of advancement in the AI domain. With the release of various Open source LLMs, the need for ChatBot-specific use cases has grown in demand. HuggingFace is the primary provider of Open Source LLMs, where the model parameters are available to the public, and anyone can use them […] The post A Comprehensive Guide to Implement HuggingFace Models Using Langchain appeared first on Analytics Vidhya.

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The ROI of Applied AI: Shifting Business Into a New Gear

Unite.AI

AI is everywhere and everyone is talking about it, but very few enterprises are currently delivering business value with AI. There is a false narrative today that many organizations are successfully adopting AI at a rapid pace when few are actually getting value out of the technology. In 2022, Gartner reported that on average, half (54%) of AI projects make it to the production stage.

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Push Notifications - What to Push, What Not to Push, and How Often

Eugene Yan

Sending helpful & engaging pushes, filtering annoying pushes, and finding the frequency sweet spot.

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Microsoft’s Copilot app is now available on iOS

Flipboard

The Microsoft Copilot app lets you ask questions, draft text, and generate images using AI. Just days after introducing a Copilot app on Android, Microsoft has rolled out an app for its AI chatbot on iOS and iPadOS. Both versions of the app are now available to download from the Apple App Store.

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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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Apple Secretly Launches Its First Open-Source LLM, Ferret

Analytics Vidhya

Apple has quietly introduced Ferret, its first open-source multimodal large language model (LLM), marking a significant departure from its traditional secretive approach. Developed in collaboration with Columbia University, Ferret integrates language understanding with image analysis, promising groundbreaking applications in various fields. This strategic move reflects Apple’s commitment to stay at the forefront of the rapidly […] The post Apple Secretly Launches Its First Open-Sourc

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ReST meets ReACT: improving ReAct with Self-Critique, AI Feedback, and Synthetic Data Generation.

Towards AI

Last Updated on December 30, 2023 by Editorial Team Author(s): Eduardo Muñoz Originally published on Towards AI. A brief description of this adaptation of Reinforced Self-Training (ReST) to an agentic configuration. Picture by Aaron Burden from Unsplash This article describes a very interesting and inspiring proposal to improve a ReAct agent with reasoning and action response with external knowledge.

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The Most Important Technology of 2023 Wasn’t AI

Flipboard

This was a breakout year for electric vehicles in America. One day in late November, I cradled a red Samsung flip phone in my hands as if it was a ruby gemstone. To me, it was just as precious.

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Artists Develop Tools to Fight AI Copycats

Analytics Vidhya

In the era of artificial intelligence (AI), artists are facing a unique challenge—AI copycats capable of replicating their distinctive styles. This alarming trend has prompted artists to join forces with researchers to develop innovative tech solutions, ensuring the protection of their creative works. This article discusses the latest tools developed to fight such AI copycats. […] The post Artists Develop Tools to Fight AI Copycats appeared first on Analytics Vidhya.

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This AI Paper Outlines the Three Development Paradigms of RAG in the Era of LLMs: Naive RAG, Advanced RAG, and Modular RAG

Marktechpost

The exploration of natural language processing has been revolutionized with the advent of LLMs like GPT. These models showcase exceptional language comprehension and generation abilities but encounter significant hurdles. Their static knowledge base often challenges them, leading to outdated information and response inaccuracies, especially in scenarios demanding domain-specific insights.

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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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Apple GPT is Coming!

TheSequence

Created Using DALL-E Next Week in The Sequence: Edge 355: Our new series about LLM reasoning techniques presents a taxonomy for reasoning methods. We review Microsoft’s Math Prompter which exhibits reasoning abilities in complex math tasks and the Chain of Thought Hub framework. Edge 356: We dive into Microsoft’s amazing Orca 2 which exhibits amazing reasoning capabilities.

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GitHub makes Copilot Chat generally available, letting devs ask questions about code

Flipboard

Earlier this year, GitHub rolled out Copilot Chat, a ChatGPT-like programming-centric chatbot for organizations subscribed to Copilot for Business. Copilot Chat more recently came to individual Copilot customers — those paying $10 per month — in beta. And now, GitHub’s launching Chat in general availability for all users. As of today, Copilot Chat is available in […] © 2023 TechCrunch.

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What is Data Annotation? Definition, Tools, Types and More

Analytics Vidhya

Introduction Data annotation plays a crucial role in the field of machine learning, enabling the development of accurate and reliable models. In this article, we will explore the various aspects of data annotation, including its importance, types, tools, and techniques. We will also delve into the different career opportunities available in this field, the industry […] The post What is Data Annotation?

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Researchers from Microsoft and Georgia Tech Introduce VCoder: Versatile Vision Encoders for Multimodal Large Language Models

Marktechpost

In the evolving landscape of artificial intelligence and machine learning, the integration of visual perception with language processing has become a frontier of innovation. This integration is epitomized in the development of Multimodal Large Language Models (MLLMs), which have shown remarkable prowess in a range of vision-language tasks. However, these models often falter in basic object perception tasks, such as accurately identifying and counting objects within a visual scene.

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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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How To Make a Career in GenAI In 2024

Towards AI

Last Updated on December 30, 2023 by Editorial Team Author(s): Sudhanshu Sharma Originally published on Towards AI. GenAI I serve as the Principal Data Scientist at a prominent healthcare firm, where I lead a small team dedicated to addressing patient needs. Over the past 11 years in the field of data science, I’ve witnessed significant transformations.

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Crime-fighting AI robocop is keeping an eye on New York’s subway riders

Flipboard

Riders on the subway in New York City might have noticed a new addition to the transit system: a robot named K5. K5 is a crime-fighting machine that is supposed to make the subway safer and more secure. But is it really a good idea to have a robot watching over us?

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Deep Learning Used to Discover Antibiotics to Combat Drug-Resistant Bacteria

Analytics Vidhya

In a significant breakthrough, researchers at MIT have harnessed the power of artificial intelligence (AI) to identify a novel class of antibiotics. The research led by Dr. James J. Collins and Dr. Felix Wong offers hope in the battle against drug-resistant bacteria. Their revolutionary approach utilizes explainable deep learning to identify compounds capable of combating […] The post Deep Learning Used to Discover Antibiotics to Combat Drug-Resistant Bacteria appeared first on Analytics V

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Researchers from the University of Washington and Allen Institute for AI Introduce Time Vectors: A Simple Tool to Customize Language Models to New Time Periods

Marktechpost

Computational linguistics focuses on developing advanced language models capable of understanding and generating human language. This dynamic field integrates the latest in machine learning and artificial intelligence, striving to create models that grasp the intricacies of language. A crucial aspect of this discipline is adapting these models to accommodate the ever-changing nature of language, influenced by cultural, social, and technological shifts.

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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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Mirror, Mirror: A ‘Self Aware’ AI Robot Just Recognized Itself

Towards AI

Last Updated on December 30, 2023 by Editorial Team Author(s): David Leibowitz Originally published on Towards AI. But What Does That Actually Mean?AI sees its reflection in the mirror, credit: David Leibowitz via DALL-E “Hey Rob, let’s test your vision,” said the man standing slightly off-camera in the TikTok video. Wearing a jauntily aligned Santa cap, Rob gazed upon the image reflecting from the mirror in the laundry room for a moment and responded with excitement, “Whoa!

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AI’s Dreadful December: Lawsuits, plagiarism and child abuse images show the perils of training on data taken without consent.

Flipboard

Three major news headlines in the past week have soured the generative AI party: a lawsuit from the NY Times, a new image model that copies frames from movies and the discovery of child abuse images in a popular dataset.

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How to do One Hot Encoding? Transform Your Categorical Data!

Analytics Vidhya

Introduction In the bustling world of machine learning, categorical data is like the DNA of our datasets – essential yet complex. But how do we make this data comprehensible to our algorithms? Enter One Hot Encoding, the transformative process that turns categorical variables into a language that machines understand. In this blog, we’ll decode the […] The post How to do One Hot Encoding?

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Can Machine Learning Predict Chaos? This Paper from UT Austin Performs a Large-Scale Comparison of Modern Forecasting Methods on a Giant Dataset of 135 Chaotic Systems

Marktechpost

The science of predicting chaotic systems lies at the intriguing intersection of physics and computer science. This field delves into understanding and forecasting the unpredictable nature of systems where small initial changes can lead to significantly divergent outcomes. It’s a realm where the butterfly effect reigns supreme, challenging the traditional notions of predictability and order.

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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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LLM Output — Evaluating, debugging, and interpreting

Towards AI

Last Updated on December 30, 2023 by Editorial Team Author(s): Lan Chu Originally published on Towards AI. LLMs are not useful if they are not sufficiently accurate. In this article, we will be looking at a few methods to evaluate, debug, and interpret the performance of the LLMs, particularly the model I will be using in this article, which is GPT-3.5-Turbo.

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The New York Times sues OpenAI and Microsoft for using its stories to train chatbots

Flipboard

NEW YORK (AP) — The New York Times is striking back against the threat that artificial intelligence poses to the news industry, filing a federal lawsuit Wednesday against OpenAI and Microsoft seeking to end the practice of using its stories to train chatbots.

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Microsoft Leaps into AI Integration with Upcoming Surface Pro 10 and Laptop 6

Analytics Vidhya

In a dynamic move towards innovation, Microsoft is set to redefine the landscape of personal computing with its highly anticipated releases, the Surface Pro 10 and Surface Laptop 6. These devices promise not only a hardware upgrade but a revolutionary integration of Artificial Intelligence (AI), marking a significant leap in the tech giant’s product lineup. […] The post Microsoft Leaps into AI Integration with Upcoming Surface Pro 10 and Laptop 6 appeared first on Analytics Vidhya.

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Tencent Researchers Introduce AppAgent: A Novel LLM-based Multimodal Agent Framework Designed to Operate Smartphone Applications

Marktechpost

Artificial intelligence (AI) is witnessing a transformative phase, particularly in developing intelligent agents. These agents are designed to perform tasks beyond simple language processing. They represent a new class of AI capable of understanding and interacting with various digital interfaces and environments, which is a step beyond the traditional text-based AI applications.

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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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Computer Vision: 2023 Recaps and 2024 Trends

Towards AI

Last Updated on December 30, 2023 by Editorial Team Author(s): Luhui Hu Originally published on Towards AI. AI Power for Foundation Models (source as marked) As we bid farewell to 2023, it’s evident that the domain of computer vision (CV) has undergone a year teeming with extraordinary innovation and technological leaps. This year has been a testament to the remarkable progress in AI-driven visual technologies, profoundly altering our interaction and interpretation of visual data.

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Microsoft Copilot is now available as a ChatGPT-like app on Android

Flipboard

You no longer need the Bing mobile app to access Copilot on Android devices. Microsoft has quietly launched a dedicated Copilot app for Android. The new app is available in the Google Play Store, offering access to Microsoft’s AI-powered Copilot without the need for the Bing mobile app.

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Apple Prepares for Breakthrough in AI in 2024 with Apple GPT, Ajax, and iOS 18

Analytics Vidhya

In a move set to redefine the landscape of artificial intelligence, Apple is gearing up to introduce groundbreaking technology to its iOS devices. The Apple GPT project, a brainchild of the tech giant, aims to overcome the memory limitations on iPhones and iPads. It ushers in a new era of advanced AI capabilities. Recent developments, […] The post Apple Prepares for Breakthrough in AI in 2024 with Apple GPT, Ajax, and iOS 18 appeared first on Analytics Vidhya.