Sun.Feb 25, 2024

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You Can Now Use AI to Build Your Website on WordPress

Analytics Vidhya

In today’s digital age, the creation of websites has been revolutionized by the advent of generative AI technology. Among the forefront pioneers in this domain is Armenian startup 10Web, which aims to simplify the process of building websites on the WordPress platform. Let’s delve into how this innovative approach is reshaping the landscape of web […] The post You Can Now Use AI to Build Your Website on WordPress appeared first on Analytics Vidhya.

AI 304
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MWC 2024 in Barcelona: Anticipating the Future

Unite.AI

As the Mobile World Congress (MWC) 2024 approaches, the tech world buzzes with anticipation, setting the stage in the vibrant city of Barcelona, Spain. This event, a pinnacle for mobile innovation, promises to showcase a spectrum of cutting-edge technologies that are poised to redefine our digital experience. As we embark on this series, “MWC Conference Series,” we aim to unravel the tapestry of advancements, focusing on AI's pivotal role in revolutionizing products across the board,

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30+ MCQs on Python Special Methods(Dunder Methods)

Analytics Vidhya

Welcome to the Python Special Methods MCQs! Special methods, also known as “magic” or “dunder” methods, are prefixed and suffixed with double underscores in Python. These methods provide functionality to classes that enable them to emulate built-in types or operations. These questions will test your understanding of various special methods in Python, including methods for […] The post 30+ MCQs on Python Special Methods(Dunder Methods) appeared first on Analytics Vid

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Unveiling Honor’s AI-Enhanced Magic6 Pro and Porsche Design Magic V2 RSR

Unite.AI

In an age where the line between science fiction and reality blurs more with each passing day, Honor steps forward with a bold goal of “making magic happen “ Forget the times when your phone's most notable feat was navigating through a jungle of apps or enduring battery life marathons. Welcome to the era of AI tech nologies , where Honor's latest creations, the Magic6 Pro and the Porsche Design Magic V2 RSR , pledge not just to elevate your tech experience but to transform it entirel

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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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Rajiv Shah’s Journey from Military Curiosity to AI Leadership

Analytics Vidhya

In our insightful conversation with Rajiv Shah, a seasoned data scientist with a penchant for understanding the ‘why’ behind every data point, we uncover the transformative power of curiosity in the field of data science. From his nickname “the why guy” in the military to his diverse experiences at leading AI startups like DataRobot and […] The post Rajiv Shah’s Journey from Military Curiosity to AI Leadership appeared first on Analytics Vidhya.

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Google Goes Small and Open Source with Gemma

TheSequence

Created Using DALL-E Next Week in The Sequence: Edge 373: Our series about reasoning in LLMs continues with the ReWOO method including a review of its original paper. We also provide an introduction to the LLMFlow framework. Edge 374: We deep dive into the things we know about the architecture powering Sora, OpenAI’s fascinating text-to-video model.

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This AI Paper from China IntroduceS Rarebench: A Pioneering AI Benchmark to Evaluate the Capabilities of LLMs on 4 Critical Dimensions within Rare Diseases

Marktechpost

The remarkable potential of Large Language Models (LLMs) such as ChatGPT to interpret and generate language in a way that is strikingly similar to that of humans has garnered a lot of interest. Therefore, LLM applications in healthcare are quickly becoming an exciting new area of study for AI and clinical medicine researchers. The potential of LLMs to aid physicians in medical diagnosis, clinical report writing, and medical education has been the subject of multiple investigations.

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Image Reconstruction With Computer Vision – 2024 Overview

Viso.ai

Image reconstruction is an AI-powered process central to computer vision. It involves transforming incomplete, degraded, or low-resolution images into complete, enhanced, or high-resolution versions. Image reconstruction serves an important role in fields like medical imaging, satellite imagery, and digital forensics. It excels in areas where the clarity and detail of an image can significantly influence outcomes.

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Shattering AI Illusions: Google DeepMind’s Research Exposes Critical Reasoning Shortfalls in LLMs!

Marktechpost

LLMs, which have been lauded for their exceptional performance across a spectrum of reasoning tasks, from STEM problem-solving to code generation, often surpassing human benchmarks, show a surprising frailty when confronted with reordered premises. The research by Google Deepmind and Stanford University unveils that a deviation from an optimal sequence, closely aligned with the logical progression of a ground truth proof, can lead to a significant dip in LLM performance, with accuracy drops of o

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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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5 Time Series Datasets for Practice

Mlearning.ai

Download data. If you’ve been searching for new datasets to practice your time-series forecasting techniques, look no further. Continue reading on MLearning.

ML 98
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Can Machine Learning Models Be Fine-Tuned More Efficiently? This AI Paper from Cohere for AI Reveals How REINFORCE Beats PPO in Reinforcement Learning from Human Feedback

Marktechpost

The alignment of Large Language Models (LLMs) with human preferences has become a crucial area of research. As these models gain complexity and capability, ensuring their actions and outputs align with human values and intentions is paramount. The conventional route to this alignment has involved sophisticated reinforcement learning techniques, with Proximal Policy Optimization (PPO) leading the charge.

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SynthDST: Synthetic Data is All You Need for Few-Shot Dialog State Tracking

Machine Learning Research at Apple

In-context learning with Large Language Models (LLMs) has emerged as a promising avenue of research in Dialog State Tracking (DST). However, the best-performing in-context learning methods involve retrieving and adding similar examples to the prompt, requiring access to labeled training data. Procuring such training data for a wide range of domains and applications is time-consuming, expensive, and, at times, infeasible.

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Researchers from Meta AI and UCSD Present TOOLVERIFIER: A Generation and Self-Verification Method for Enhancing the Performance of Tool Calls for LLMs

Marktechpost

Integrating external tools into language models (LMs) marks a pivotal advancement towards creating versatile digital assistants. This integration enhances the models’ functionality and propels them closer to the vision of general-purpose AI. This ambition encounters a significant challenge: the rapid evolution of tools and APIs necessitates that LMs swiftly adapt to new tools and parameter updates without extensive retraining or human intervention.

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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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Sustainable data centres?—?can AI provide solutions to achieve decarbonisation goals?

Mlearning.ai

Sustainable data centres — can AI provide solutions to achieve decarbonisation goals? How artificial intelligence is making the design and operation of data centres more efficient and sustainable AI in data centres © Motion Array Artificial Intelligence (AI) has become a pivotal force in shaping the data centre industry, driving growth and transforming how data centres operate.

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This Machine Learning Research Introduces Premier-TACO: A Robust and Highly Generalizable Representation Pretraining Framework for Few-Shot Policy Learning

Marktechpost

In our ever-evolving world, the significance of sequential decision-making (SDM) in machine learning cannot be overstated. Unlike static tasks, SDM reflects the fluidity of real-world scenarios, spanning from robotic manipulations to evolving healthcare treatments. Much like how foundation models in language, such as BERT and GPT, have transformed natural language processing by leveraging vast textual data, pretrained foundation models hold similar promise for SDM.

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How To Generate Response From Gemini AI

Ofemwire

Formerly known as Bard, Gemini is Google’s advanced AI language model, offering a Multitude of capabilities beyond simple question-answering. From crafting creative text formats to generating code and even images, Gemini can be a valuable tool for students, writers, professionals, and anyone seeking an AI collaborator. But how do you unlock its full potential and generate the responses you need?

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Can Machine Learning Teach Robots to Understand Us Better? This Microsoft Research Introduces Language Feedback Models for Advanced Imitation Learning

Marktechpost

The challenges in developing instruction-following agents in grounded environments include sample efficiency and generalizability. These agents must learn effectively from a few demonstrations while performing successfully in new environments with novel instructions post-training. Techniques like reinforcement learning and imitation learning are commonly used but often demand numerous trials or costly expert demonstrations due to their reliance on trial and error or expert guidance.

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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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The Multiverse AI Review: #1 Professional AI Headshots?

Unite.AI

A professional image is crucial for success , especially in the professional world. Your headshot is often the first impression you make on others, whether on social media, professional networking platforms like LinkedIn, or corporate websites. But if you're like me and other professionals, you often don't have the time, resources, or knowledge to create a high-quality professional headshot.

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MusicMagus: Harnessing Diffusion Models for Zero-Shot Text-to-Music Editing

Marktechpost

Music generation has long been a fascinating domain, blending creativity with technology to produce compositions that resonate with human emotions. The process involves generating music that aligns with specific themes or emotions conveyed through textual descriptions. While developing music from text has seen remarkable progress, a significant challenge remains: editing the generated music to refine or alter specific elements without starting from scratch.

ML 126
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What is Multitenancy in Vector Databases?

Unite.AI

When you upload and manage your data on GitHub that no one else can see unless you make it public, you share physical infrastructure with other users. That's because GitHub uses multitenancy as a cost-effective and easier-to-manage alternative to assigning a separate database to each user. However, sharing the same infrastructure becomes a security risk when all users can view each other's data.

ML 147
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Revolutionizing 3D Scene Reconstruction and View Synthesis with PC-NeRF: Bridging the Gap in Sparse LiDAR Data Utilization

Marktechpost

The relentless quest for autonomous vehicles has pivoted around the ability to interpret and navigate complex environments with precision and reliability. Central to this endeavor is the technological prowess in 3D scene reconstruction and novel view synthesis, where the sparse data from Light Detection and Ranging (LiDAR) systems play a pivotal role.

ML 111
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From Developer Experience to Product Experience: How a Shared Focus Fuels Product Success

Speaker: Anne Steiner and David Laribee

As a concept, Developer Experience (DX) has gained significant attention in the tech industry. It emphasizes engineers’ efficiency and satisfaction during the product development process. As product managers, we need to understand how a good DX can contribute not only to the well-being of our development teams but also to the broader objectives of product success and customer satisfaction.

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Multichannel Voice Trigger Detection Based on Transform-average-concatenate

Machine Learning Research at Apple

This paper was accepted at the workshop HSCMA at ICASSP 2024. Voice triggering (VT) enables users to activate their devices by just speaking a trigger phrase. A front-end system is typically used to perform speech enhancement and/or separation, and produces multiple enhanced and/or separated signals. Since conventional VT systems take only single-channel audio as input, channel selection is performed.

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Meet MiniCPM: An End-Side LLM with only 2.4B Parameters Excluding Embeddings

Marktechpost

In the fast-evolving world of technology, language models play a crucial role in various applications, from answering questions to generating text. However, one challenge these models face is their size, which can limit their capabilities and applications. Developers and researchers always seek efficient yet powerful solutions to address this issue.

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