Fri.Aug 23, 2024

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ChatGPT-4 vs. Llama 3.1 – Which Model is Better?

Analytics Vidhya

Introduction Artificial Intelligence has seen remarkable advancements in recent years, particularly in natural language processing. Among the numerous AI language models, two have garnered significant attention: ChatGPT-4 and Llama 3.1. Both are designed to understand and generate human-like text, making them valuable tools for various applications, from customer support to content creation.

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Generative AI Is Not a Death Sentence for Endangered Languages

Unite.AI

According to UNESCO , up to half of languages could be extinct by 2100. Many people say generative AI is contributing to this process. The decline in language diversity didn’t start with AI—or the Internet. But AI is in a position to accelerate the demise of indigenous and low-resource languages. Most of the world’s 7,000+ languages don’t have sufficient resources to train AI models—and many lack a written form.

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Authors file lawsuit against Anthropic over ‘pirated’ works

AI News

Three authors have filed a lawsuit against AI startup Anthropic, alleging the firm used their copyrighted works without permission to train its Claude language models. Andrea Bartz, Charles Graeber, and Kirk Wallace Johnson filed a complaint in a California court, accusing Anthropic of having “pirated” their written material to develop its AI systems.

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MIT Engineers Develop Groundbreaking Microscale Battery for Autonomous Robotics

Unite.AI

The field of microscale robotics has long grappled with a fundamental challenge: how to provide sufficient power to autonomous devices small enough to navigate within the human body or industrial pipelines. Traditional power sources have been too large or inefficient for such applications, limiting the potential of these miniature marvels. However, a groundbreaking development from the Massachusetts Institute of Technology (MIT) promises to overcome this hurdle, potentially ushering in a new era

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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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What are Frameworks in Python?

Analytics Vidhya

Introduction Imagine you’re building a new skyscraper. You wouldn’t start without a blueprint, right? Similarly, when developing software, having the right framework is crucial. In the vast world of Python, frameworks act as those blueprints, guiding developers through the construction process. They provide a structured foundation, so you can focus on creating impressive, functional applications. […] The post What are Frameworks in Python?

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Don’t Miss this Anthropic’s Prompt Engineering Course in 2024

Analytics Vidhya

Introduction Prompt Engineering has been a hot topic in 2024, with the rapid advancement of Generative AI driving learners to skill up in this competitive field. Mastering prompt engineering is like having the keys to a powerful machine that can transform ideas into reality. While many prompt engineering courses are available, they often lack practicality […] The post Don’t Miss this Anthropic’s Prompt Engineering Course in 2024 appeared first on Analytics Vidhya.

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Build with AssemblyAI's Streaming Speech-to-Text + Latest Tutorials

AssemblyAI

Hey 👋, this weekly update contains the latest info on our new product features, tutorials, and our community. Join Us On Discord Feature Spotlight: Streaming Speech-to-Text AssemblyAI's  Streaming Speech-to-Text  (STT) allows you to transcribe live audio streams with high accuracy and low latency. By streaming your audio data to our secure API, you can receive transcripts back within a few hundred milliseconds.

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Agility Robotics’ Digit: A Glimpse into the Future of Automated Labor

Unite.AI

In today's fast-changing world, automation is reshaping industries incredibly, making robotics an essential part of the workforce. Agility Robotics is leading this exciting transformation with its advanced humanoid robots. Its flagship product, Digit , represents a groundbreaking leap forward in automated labor. Automation has long been a hot topic, but recent advances have made it a reality in many sectors.

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Meta Presents Sapiens: Foundation for Human Vision Models

Marktechpost

Large-scale pretraining followed by task-specific fine-tuning has revolutionized language modeling and is now transforming computer vision. Extensive datasets like LAION-5B and JFT-300M enable pre-training beyond traditional benchmarks, expanding visual learning capabilities. Notable models such as DINOv2, MAWS, and AIM have made significant strides in self-supervised feature generation and masked autoencoder scaling.

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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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NVIDIA to Present Innovations at Hot Chips That Boost Data Center Performance and Energy Efficiency

NVIDIA

A deep technology conference for processor and system architects from industry and academia has become a key forum for the trillion-dollar data center computing market. At Hot Chips 2024 next week, senior NVIDIA engineers will present the latest advancements powering the NVIDIA Blackwell platform, plus research on liquid cooling for data centers and AI agents for chip design.

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DeepSim: AI-Accelerated 3D Physics Simulator for Engineers

Marktechpost

One uses computational power in physics simulation to solve mathematical models that describe physical events. When dealing with complex geometries, fluid dynamics, or large-scale systems, the processing demands of these simulations can be enormous, but the insights they bring are vital. 3D physics simulations are time-consuming, costly, and a pain to run.

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Why scikit-learn isn’t the Best for Visualizing Decision Trees: Meet dtreeviz

Towards AI

Last Updated on September 2, 2024 by Editorial Team Author(s): Souradip Pal Originally published on Towards AI. Fall in Love with Decision Trees with dtreeviz’s Visualization This member-only story is on us. Upgrade to access all of Medium. Decision Trees, also known as CART (Classification and Regression Trees), are undoubtedly one of the most intuitive algorithms in the machine learning space, thanks to their simplicity.

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A Gentle Introduction to Bayesian Statistics

Machine Learning Mastery

Bayesian statistics constitute one of the not-so-conventional subareas within statistics, based on a particular vision of the concept of probabilities. This post introduces and unveils what bayesian statistics is and its differences from frequentist statistics, through a gentle and predominantly non-technical narrative that will awaken your curiosity about this fascinating topic.

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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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Simplifying LLM Development: Treat It Like Regular ML

Towards AI

Last Updated on September 2, 2024 by Editorial Team Author(s): Ori Abramovsky Originally published on Towards AI. Photo by Daniel K Cheung on Unsplash Large Language Models (LLMs) are the latest buzz, often seen as both exciting and intimidating. Many data scientists I’ve spoken with agree that LLMs represent the future, yet they often feel that these models are too complex and detached from the everyday challenges faced in enterprise environments.

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Scientists Develop Ultrafast Microscope That Can See Electrons in Motion

Extreme Tech

The 'attomicroscope' can capture an image in one quintillionth of a second.

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The Data Science Mentor

Towards AI

Last Updated on September 2, 2024 by Editorial Team Author(s): Alessandro Romano Originally published on Towards AI. This member-only story is on us. Upgrade to access all of Medium. Photo by Susan Q Yin on Unsplash We all had a mentor. Sometimes, it is a parent or just someone who dropped in your life at the right time and gave you the tools to achieve something great you always wanted to achieve.

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AI & Python #20: Web Scraping Projects That Will Help Automate Your Life

Artificial Corner

Hi! As I mentioned in previous emails, I’ve separated the Python articles and created a new newsletter “AI & Python.“ This newsletters is for those who want to learn Python, coding concepts, automation, and create AI apps (even if you're a complete beginner). This article is all about web scraping projects (which plays an important role in AI ) P.S.

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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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LLMs for Chatbots and Conversational AI: Building Engaging User Experiences

Chatbots Life

Large Language Models have emerged as the central component of modern chatbots and conversational AI in the fast-paced world of technology. Just imagine conversing with a machine that is as intelligent as a human. The use cases of LLM for chatbots and LLM for conversational AI can be seen across all industries like FinTech, eCommerce, healthcare, cybersecurity, and the list goes on.

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Revolutionizing Deep Model Fusion: Introducing Sparse Mixture of Low-rank Experts (SMILE) for Scalable Model Upscaling

Marktechpost

The training of large-scale deep models on broad datasets is becoming more and more costly in terms of resources and environmental effects due to the exponential development in model sizes and dataset scales in deep learning. A new, potentially game-changing approach is deep model fusion techniques, which combine the insights of several models into one without requiring substantial retraining.

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Samsung Reportedly Ready to Tape-Out HBM4 Later This Year

Extreme Tech

High-volume manufacturing likely won't begin until the end of 2025.

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This AI Paper by National University of Singapore Introduces A Comprehensive Survey of Language Models for Tabular Data Analysis

Marktechpost

Tabular data, which dominates many genres, such as healthcare, financial, and social science applications, contains rows and columns with structured features, making it much easier for data management or analysis. However, the diversity of tabular data, including numerical, unconditional, and textual, brings huge challenges to attaining robust and accurate predictive performance.

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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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AMD to Establish 2 R&D Centers in Taiwan

Extreme Tech

The company will get financial assistance from the government to help Taiwan become an 'AI Island.

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Processing 2-Hour Videos Seamlessly: This AI Paper Unveils LONGVILA, Advancing Long-Context Visual Language Models for Long Videos

Marktechpost

The main challenge in developing advanced visual language models (VLMs) lies in enabling these models to effectively process and understand long video sequences that contain extensive contextual information. Long-context understanding is crucial for applications such as detailed video analysis, autonomous systems, and real-world AI implementations where tasks require the comprehension of complex, multi-modal inputs over extended periods.

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Next-Gen Intel Xeon Platform to Feature Almost 10,000 Contact Points

Extreme Tech

Intel's upcoming Xeon socket is absolutely massive.

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Enhancing Stability in Model Distillation: A Generic Approach Using Central Limit Theorem-Based Testing

Marktechpost

Model distillation is a method for creating interpretable machine learning models by using a simpler “student” model to replicate the predictions of a complex “teacher” model. However, if the student model’s performance varies significantly with different training datasets, its explanations may need to be more reliable.

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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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Simplifying LLM Development: Treat It Like Regular ML

Towards AI

Last Updated on September 2, 2024 by Editorial Team Author(s): Ori Abramovsky Originally published on Towards AI. Simplifying LLM Development: Treat It Like Regular ML Photo by Daniel K Cheung on Unsplash Large Language Models (LLMs) are the latest buzz, often seen as both exciting and intimidating. Many data scientists I’ve spoken with agree that LLMs represent the future, yet they often feel that these models are too complex and detached from the everyday challenges faced in enterprise environ

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Unraveling the Nature of Emergent Abilities in Large Language Models: The Role of In-Context Learning and Model Memory

Marktechpost

Emergent abilities in large language models (LLMs) refer to capabilities present in larger models but absent in smaller ones, a foundational concept that has guided prior research. While studies have identified 67 such emergent abilities through benchmark evaluations, some researchers question whether these are genuine or merely artifacts of the evaluation methods used.

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Explainability and Interpretability

Pickl AI

Summary: This blog post delves into the importance of explainability and interpretability in AI, covering definitions, challenges, techniques, tools, applications, best practices, and future trends. It highlights the significance of transparency and accountability in AI systems across various sectors. Introduction In the rapidly evolving field of Artificial Intelligence (AI) and Machine Learning (ML), the concepts of explainability and interpretability have gained significant attention.