Fri.Apr 19, 2024

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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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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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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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Usage-Based Monetization Musts: A Roadmap for Sustainable Revenue Growth

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

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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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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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Transformative Potential of a Healthcare-Specific Foundational Model

Unite.AI

In the past two years, generalist foundational models like GPT-4 have significantly evolved, offering unprecedented capabilities due to larger datasets, increased model sizes, and architectural improvements. These models are adaptable to a wide range of tasks across various fields. However, healthcare AI is still characterized by models designed for specific tasks.

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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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Next-Gen AI: OpenAI and Meta’s Leap Towards Reasoning Machines

Unite.AI

OpenAI and Meta, pioneers in the field of generative AI, are nearing the launch of their next generation of artificial intelligence (AI). This new wave of AI is set to enhance capabilities in reasoning and planning, marking significant advances towards the development of artificial general intelligence. This article explores these forthcoming innovations and the potential future they herald.

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15 Modern Use Cases for Enterprise Business Intelligence

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?

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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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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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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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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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From Diagnosis to Delivery: How AI is Revolutionizing the Patient Experience

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

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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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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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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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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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Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin

As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.

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The ethics of advanced AI assistants

DeepMind

The ethics of advanced AI assistants Exploring the promise and risks of a future with more capable AI

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Researchers at Microsoft Introduces VASA-1: Transforming Realism in Talking Face Generation with Audio-Driven Innovation

Marktechpost

Within multimedia and communication contexts, the human face serves as a dynamic medium capable of expressing emotions and fostering connections. AI-generated talking faces represent an advancement with potential implications across various domains. These include enhancing digital communication, improving accessibility for individuals with communicative impairments, revolutionizing education through AI tutoring, and offering therapeutic and social support in healthcare settings.

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Talk to your slide deck using multimodal foundation models hosted on Amazon Bedrock and Amazon SageMaker – Part 2

AWS Machine Learning Blog

In Part 1 of this series, we presented a solution that used the Amazon Titan Multimodal Embeddings model to convert individual slides from a slide deck into embeddings. We stored the embeddings in a vector database and then used the Large Language-and-Vision Assistant (LLaVA 1.5-7b) model to generate text responses to user questions based on the most similar slide retrieved from the vector database.

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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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The Tumultuous IT Landscape Is Making Hiring More Difficult

After a year of sporadic hiring and uncertain investment areas, tech leaders are scrambling to figure out what’s next. This whitepaper reveals how tech leaders are hiring and investing for the future. Download today to learn more!

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Scale AI training and inference for drug discovery through Amazon EKS and Karpenter

AWS Machine Learning Blog

This is a guest post co-written with the leadership team of Iambic Therapeutics. Iambic Therapeutics is a drug discovery startup with a mission to create innovative AI-driven technologies to bring better medicines to cancer patients, faster. Our advanced generative and predictive artificial intelligence (AI) tools enable us to search the vast space of possible drug molecules faster and more effectively.

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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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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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Improving the Accuracy of Generative AI Systems: A Structured Approach

Speaker: Anindo Banerjea, CTO at Civio & Tony Karrer, CTO at Aggregage

When developing a Gen AI application, one of the most significant challenges is improving accuracy. This can be especially difficult when working with a large data corpus, and as the complexity of the task increases. The number of use cases/corner cases that the system is expected to handle essentially explodes. 💥 Anindo Banerjea is here to showcase his significant experience building AI/ML SaaS applications as he walks us through the current problems his company, Civio, is solving.

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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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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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Code Evolution: Transforming Software Development with Generative AI Adoption

Becoming Human

In software development, staying ahead of the curve is vital for businesses that needs to deliver innovative and efficient solutions. The use of Generative AI is one of the most exciting technological developments that is changing the pattern for software development. This radical method has the power to completely change how software is developed, tested, and implemented.