Unite.AI

FEBRUARY 25, 2024

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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Analytics Vidhya

FEBRUARY 25, 2024

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.

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AI AI Generative AI Artificial Intelligence 263

Unite.AI

FEBRUARY 25, 2024

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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AI AI Algorithm Generative AI 243

Analytics Vidhya

FEBRUARY 25, 2024

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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Python 257

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

Unite.AI

FEBRUARY 25, 2024

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.

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Unite.AI

FEBRUARY 25, 2024

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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AI AI 147

Marktechpost

FEBRUARY 25, 2024

The well-known Artificial Intelligence (AI)-based chatbot, i.e., ChatGPT, which has been built on top of GPT’s transformer architecture, uses the technique of Reinforcement Learning from Human Feedback (RLHF). RLHF is an increasingly important method for utilizing the potential of pre-trained Large Language Models (LLMs) to generate more helpful, truthful responses that are in line with human preferences.

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Large Language Models LLM Artificial Intelligence Artificial Intelligence 132

TheSequence

FEBRUARY 25, 2024

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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Marktechpost

FEBRUARY 25, 2024

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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Large Language Models Categorization AI AI 132

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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.

Viso.ai

FEBRUARY 25, 2024

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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Marktechpost

FEBRUARY 25, 2024

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.

Machine Learning 131

Machine Learning LLM Large Language Models Artificial Intelligence 131

Mlearning.ai

FEBRUARY 25, 2024

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

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ML Machine Learning 98

Marktechpost

FEBRUARY 25, 2024

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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LLM AI AI ML 131

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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

Machine Learning Research at Apple

FEBRUARY 25, 2024

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.

Large Language Models 52

Large Language Models 52

Marktechpost

FEBRUARY 25, 2024

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.

AI 130

AI AI ML Large Language Models 130

Machine Learning Research at Apple

FEBRUARY 25, 2024

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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Marktechpost

FEBRUARY 25, 2024

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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Machine Learning Natural Language Processing Robotics BERT 130

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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.

Mlearning.ai

FEBRUARY 25, 2024

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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Artificial Intelligence Artificial Intelligence Automation Algorithm 52

Marktechpost

FEBRUARY 25, 2024

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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Robotics Machine Learning LLM Large Language Models 129

Ofemwire

FEBRUARY 25, 2024

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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AI AI ChatGPT 52

Marktechpost

FEBRUARY 25, 2024

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.

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ML AI AI Artificial Intelligence 127

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

FEBRUARY 25, 2024

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 113

ML Artificial Intelligence Artificial Intelligence Machine Learning 113

Marktechpost

FEBRUARY 25, 2024

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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LLM Large Language Models Artificial Intelligence Artificial Intelligence 105