Fri.Apr 19, 2024

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Meta AI: Your New Intelligent Assistant Powered by Llama 3

Analytics Vidhya

Meta introduces Meta AI, powered by the cutting-edge Llama 3, revolutionizing assistance across its platforms. With seamless integration and enhanced features, Meta AI aims to redefine user experiences. Let’s explore the features and applications of Meta’s AI assistant. Also Read: Meta Releases Much-Awaited Llama 3 Model Enhanced Assistance Everywhere Meta AI, leveraging Meta Llama 3, […] The post Meta AI: Your New Intelligent Assistant Powered by Llama 3 appeared first on Anal

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Meta raises the bar with open source Llama 3 LLM

AI News

Meta has introduced Llama 3 , the next generation of its state-of-the-art open source large language model (LLM). The tech giant claims Llama 3 establishes new performance benchmarks, surpassing previous industry-leading models like GPT-3.5 in real-world scenarios. “With Llama 3, we set out to build the best open models that are on par with the best proprietary models available today,” said Meta in a blog post announcing the release.

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Top 10 AI Tools for Social Media

Analytics Vidhya

Introduction Hi there, lovers of social media! Are you interested in learning the trick to flawlessly content that drawsattention on its own? Then you need to start using AI tools. We’ll explore the top 10 AI tools that are revolutionizing social media management. These tools offer innovative solutions for everything from content creation to analytics, […] The post Top 10 AI Tools for Social Media appeared first on Analytics Vidhya.

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The journey to a mature asset management system

IBM Journey to AI blog

This blog series discusses the complex tasks energy utility companies face as they shift to holistic grid asset management to manage through the energy transition. Earlier posts in this series addressed the challenges of the energy transition with holistic grid asset management, the integrated asset management platform and data exchange, and merging traditional top-down and bottom-up planning processes.

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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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Meta Llama 3: Redefining Large Language Model Standards

Analytics Vidhya

Introduction The landscape of artificial intelligence has been dramatically reshaped over the past few years by the advent of Large Language Models (LLMs). These powerful tools have evolved from simple text processors to complex systems capable of understanding and generating human-like text, making significant strides in both capabilities and applications.

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Hugging Face Presents Idefics2: An 8B Vision-Language Model Revolution

Analytics Vidhya

Hugging Face’s latest offering, Idefics2 heralds a new era in multimodal AI models. With enhanced capabilities and a refined architecture, Idefics2 promises to reshape how we interact with visual and textual data. Let’s delve into the advancements and implications of this new release. Also Read: Meta Releases Much-Awaited Llama 3 Model The Evolution of Idefics […] The post Hugging Face Presents Idefics2: An 8B Vision-Language Model Revolution appeared first on Analytics Vidhya.

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This AI Paper from CMU Introduces AgentKit: A Machine Learning Framework for Building AI Agents Using Natural Language

Marktechpost

Agent-based systems in Artificial Intelligence are ones where AI agents perform tasks autonomously within digital environments. Developing intelligent agents that can understand complex instructions and interact dynamically with their environment poses a significant technological challenge. A prevalent issue in agent design is the reliance on sophisticated programming techniques.

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Train PyTorch Models Scikit-learn Style with Skorch

Analytics Vidhya

Introduction Embark on a thrilling journey into the domain of Convolutional Neural Networks (CNNs) and Skorch, a revolutionary fusion of PyTorch’s deep learning prowess and the simplicity of scikit-learn. Explore how CNNs emulate human visual processing to crack the challenge of handwritten digit recognition while Skorch seamlessly integrates PyTorch into machine learning pipelines.

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Google DeepMind Releases Penzai: A JAX Library for Building, Editing, and Visualizing Neural Networks

Marktechpost

Google DeepMind has recently introduced Penzai, a new JAX library that has the potential to transform the way researchers construct, visualize, and alter neural networks. This innovative tool is designed to smoothly integrate with Google Colab and the JAX ecosystem, which is a major step forward in the accessibility and manipulability of AI models. Penzai is a new approach to neural network development that emphasizes transparency and functionality.

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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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Forget Tesla! Wayve’s LINGO-2 Redefines Autonomous Vehicles with the Power of Speech

Analytics Vidhya

Introduction Wayve, a leading artificial intelligence company based in the United Kingdom, introduces Lingo-2, a groundbreaking system that harnesses the power of natural language processing. It redefines the way self-driving cars perceive and navigate the world around them. It integrates vision, language, and action to explain and determine driving behavior.

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How Faithful are RAG Models? This AI Paper from Stanford Evaluates the Faithfulness of RAG Models and the Impact of Data Accuracy on RAG Systems in LLMs

Marktechpost

Retrieval-Augmented Generation (RAG) is emerging as a pivotal technology in large language models (LLMs). It aims to enhance accuracy by integrating externally retrieved information with pre-existing model knowledge. This technology is particularly important in addressing the limitations of LLMs confined to their training datasets. It needs to be equipped to handle queries about recent or nuanced information not present in their training data.

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PyTorch’s TorchTune: Revolutionizing LLM Fine-Tuning

Analytics Vidhya

Introduction The ever-growing field of large language models (LLMs) unlocks incredible potential for various applications. However, fine-tuning these powerful models for specific tasks can be a complex and resource-intensive endeavor. TorchTune, a new PyTorch library, tackles this challenge head-on by offering an intuitive and extensible solution. PyTorch released the alpha tourchtune, a PyTorch native library […] The post PyTorch’s TorchTune: Revolutionizing LLM Fine-Tuning appeared

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Transforming Language Model Alignment: Zero-Shot Cross-Lingual Transfer Using Reward Models to Enhance Multilingual Communication

Marktechpost

Language model alignment has become a pivotal technique in making language technologies more user-centric and effective across different languages. Traditionally, aligning these models to mirror human preferences requires extensive, language-specific data, which is not always available, particularly for less common languages. This scarcity poses a significant barrier to developing practical and equitable multilingual models.

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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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Poe’s Multi-Bot Chat: A Game-Changer in AI Interactivity

Analytics Vidhya

Introduction Imagine having a conversation with several AI experts at once! That’s what Poe, a new platform from Quora, makes possible. Poe lets you chat with different AI models all in one place. This means you can get a variety of viewpoints on any topic, making your conversations richer and more helpful. It’s like having […] The post Poe’s Multi-Bot Chat: A Game-Changer in AI Interactivity appeared first on Analytics Vidhya.

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The US Now Has 1 Fast EV Charging Station for Every 15 Gas Stations

Extreme Tech

With nearly 600 more fast-charging stations to rely on, EV drivers may feel more strongly that their investments were worthwhile.

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10+ Easy ChatGPT Prompts for Working Professionals in 2024

Analytics Vidhya

Introduction ChatGPT, the powerful language model developed by OpenAI, can save you significant time and effort when used with well-crafted prompts. By providing the right prompts, you can potentially reduce tasks that would normally take hours into just a matter of minutes. This article explores some of the best prompts to unlock ChatGPT’s potential as […] The post 10+ Easy ChatGPT Prompts for Working Professionals in 2024 appeared first on Analytics Vidhya.

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This AI Research from China Provides Empirical Evidence on the Relationship between Compression and Intelligence

Marktechpost

Many people think that intelligence and compression go hand in hand, and some experts even go so far as to say that the two are essentially the same. Recent developments in LLMs and their effects on AI make this idea much more appealing, prompting researchers to look at language modeling through the compression lens. Theoretically, compression allows for converting any prediction model into a lossless compressor and inversely.

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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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Top 7 AI Tools To Save You 24+ Hours Every Week

Becoming Human

If you are not using creative abilities in tasks, eliminate — delegate and automate such tasks Continue reading on Becoming Human: Artificial Intelligence Magazine »

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Meet Platypus: An AI Startup with a Distributed Data Operating System Streamlining the Artificial Intelligence Revolution

Marktechpost

The rapidly developing field of artificial intelligence makes it difficult for traditional data management technologies to remain consistent. Slowness and errors result from data groups, disjointed workflows, and manual procedures. In a dynamic environment where the idea of a “modern” data stack is quickly becoming outdated, managing distributed data is challenging and resource-intensive, necessitating specialized teams, a wide variety of tools, and high costs.

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Will There Be A ‘Legal AI Arms Race’ In Litigation?

Artificial Lawyer

‘Litigation is war,’ stated Stephen Dowling, the founder of TrialView, at the Future Lawyer Week conference yesterday, then posed the question: ‘Will there be an.

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Top Tableau Books to Read in 2024

Marktechpost

Tableau is a data visualization tool used by data analysts, scientists, and statisticians. It has a user-friendly interface and helps create compelling visualizations and obtain detailed insights. The tool’s popularity has been on the rise for the past few years because of the unprecedented growth in our digital footprint, and it is being used in many top organizations.

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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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Chatbot Statistics: What Businesses Need to Know About Digital Assistants

Chatbots Life

In recent years, as per chatbot statistics the market has experienced remarkable growth. It is fueled by the increasing demand for 24x7 customer services and operational cost reduction. Moreover, there is a rising preference for self-service operations. Businesses are automating sales and support services, enabling timely services at reduced costs. This evolution is underscored by significant chatbot and AI statistics : The chatbot market is set to expand at a remarkable 23.3% annually, reaching

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Improving Speech Recognition on Augmented Reality Glasses with Hybrid Datasets Using Deep Learning: A Simulation-Based Approach

Marktechpost

Google AI researchers showed how a joint model combining sound separation and ASR could benefit from hybrid datasets, including large amounts of simulated audio and small amounts of real recordings. This approach achieves accurate speech recognition on augmented reality (AR) glasses, particularly in noisy and reverberant environments. This is an important step for enhancing communication experiences, especially for individuals with hearing impairments or those conversing in non-native languages.

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LLM Defense Strategies

Becoming Human

Towards Improving the Safety of LLMs The field of Natural Language Processing has undergone a revolutionary transformation with the advent of Large Language Models (LLMs). These models have demonstrated outstanding performance across a diverse range of tasks. However, as their capabilities and influence continue to grow, so do the concerns surrounding their vulnerabilities and safety.

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Network Optimization with AI: Exploring Predictive Maintenance and Traffic Management

Marktechpost

In today’s digital age, the efficiency and reliability of networks, whether they are telecommunications frameworks or urban traffic systems, are pivotal. Artificial Intelligence (AI) is crucial in enhancing these networks through predictive maintenance and advanced traffic management techniques. This article explores how these AI-driven methodologies are transforming the landscape of network optimization.

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Embedding BI: Architectural Considerations and Technical Requirements

While data platforms, artificial intelligence (AI), machine learning (ML), and programming platforms have evolved to leverage big data and streaming data, the front-end user experience has not kept up. Holding onto old BI technology while everything else moves forward is holding back organizations. Traditional Business Intelligence (BI) aren’t built for modern data platforms and don’t work on modern architectures.

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Introducing automatic training for solutions in Amazon Personalize

AWS Machine Learning Blog

Amazon Personalize is excited to announce automatic training for solutions. Solution training is fundamental to maintain the effectiveness of a model and make sure recommendations align with users’ evolving behaviors and preferences. As data patterns and trends change over time, retraining the solution with the latest relevant data enables the model to learn and adapt, enhancing its predictive accuracy.

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Elon Musk Dead Sure 1 billion Humanoid Robots to Take Over world in 2040

Becoming Human

You recently heard the bold prediction from Elon Musk that there will be over one billion humanoid robots walking the Earth as early as… Continue reading on Becoming Human: Artificial Intelligence Magazine »

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Enhancing AI Validation with Causal Chambers: Bridging Data Gaps in Machine Learning and Statistics with Controlled Environments

Marktechpost

Artificial intelligence (AI), machine learning, and statistics continually evolve, pushing the boundaries of what machines can learn and predict. Yet, the validation of new AI methods often hinges on the availability of high-quality, real-world data. Researchers frequently depend on simulated datasets that may not fully capture the complexities of natural environments, potentially skewing the effectiveness of these methods when applied outside laboratory settings.