Fri.Jul 19, 2024

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Optimizing AI Performance: A Guide to Efficient LLM Deployment

Analytics Vidhya

Introduction In an era where artificial intelligence is reshaping industries, controlling the power of Large Language Models (LLMs) has become crucial for innovation and efficiency. Imagine a world where customer service chatbots not only understand but anticipate your needs, or where complex data analysis tools provide insights instantaneously. To unlock such potential, businesses must master […] The post Optimizing AI Performance: A Guide to Efficient LLM Deployment appeared first on Ana

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Mistral AI and NVIDIA unveil 12B NeMo model

AI News

Mistral AI has announced NeMo, a 12B model created in partnership with NVIDIA. This new model boasts an impressive context window of up to 128,000 tokens and claims state-of-the-art performance in reasoning, world knowledge, and coding accuracy for its size category. The collaboration between Mistral AI and NVIDIA has resulted in a model that not only pushes the boundaries of performance but also prioritises ease of use.

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7 Coding Tasks ChatGPT Can’t Do

Analytics Vidhya

Introduction ChatGPT may be the rising star in the coding world, but even this AI whiz has its limits. While it can churn out impressive code at lightning speed, there are still programming challenges that leave it stumped. Curious about what makes this digital brainiac break a sweat? We’ve compiled a list of 7 coding […] The post 7 Coding Tasks ChatGPT Can’t Do appeared first on Analytics Vidhya.

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Get started using Claude 3.5 Sonnet with audio data

AssemblyAI

Claude 3.5 Sonnet, recently announced by Anthropic , sets new industry benchmarks for many LLM tasks. It excels in tasks ranging from complex coding to nuanced literary analysis, showcasing exceptional context awareness and creativity. In this tutorial, you'll learn how to use Claude 3.5 Sonnet, Claude 3 Opus, and Claude 3 Haiku with audio or video files in Python.

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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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Evaluating GPT-4o mini: How OpenAI’s Latest Model Stacks Up?

Analytics Vidhya

Introduction OpenAI launched GPT-4o mini yesterday (18th June 2024), taking the world by storm. There are several reasons for this. OpenAI has traditionally focused on large language models (LLMs), which take a lot of computing power and have significant costs associated with using them. However, with this release, they are officially venturing into small language […] The post Evaluating GPT-4o mini: How OpenAI’s Latest Model Stacks Up?

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Top AI Tools to Design Your Room

Analytics Vidhya

Introduction Designing a room can be both exciting and challenging. Thankfully, AI tools have made transforming your space easier and more enjoyable. These tools use artificial intelligence to help you visualize, plan, and execute your interior design ideas effortlessly. This article explores some of the top AI interior design tools, highlighting their advantages and disadvantages. […] The post Top AI Tools to Design Your Room appeared first on Analytics Vidhya.

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Over 40% of Japanese firms lack AI adoption plans

AI News

A Reuters survey released recently laid bare a nuanced picture of Japanese corporate acceptance and social attitudes toward technology. The survey, conducted by Nikkei Research, anonymously polled 506 companies from 3-12 July, with around half responding. It provides a broad view of how corporate Japan is striking a balance between incorporating AI and tightening cybersecurity amid changing social attitudes toward work.

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Mastering the Chain of Dictionary Technique in Prompt Engineering

Analytics Vidhya

Introduction The ability to be quick has become increasingly important in the rapidly developing fields of artificial intelligence and natural language processing. Experts and amateurs in AI are finding great success with the Chain of Dictionary method, one potent methodology. This article will thoroughly cover this intriguing strategy’s implementation, advantages, and applications.

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TSMC forecasts record growth, rejects US joint venture amid AI surge

AI News

Taiwan Semiconductor Manufacturing Company (TSMC) has raised its revenue forecast for 2024, citing strong demand for chips in AI applications. The world’s largest contract chipmaker anticipates growth slightly above the mid-20% range in US dollar terms, up from its previous estimate. This adjustment comes as TSMC reports better-than-expected profits for the second quarter of 2024.

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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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Understanding Async IO in Python

Analytics Vidhya

Introduction Imagine you’re driving through a busy city, navigating traffic lights and pedestrians swiftly to reach your destination without unnecessary delays. Similarly, Async IO in Python allows your programs to multitask efficiently, handling multiple operations concurrently like a skilled city driver. In this article, we explore Async IO—a powerful Python feature that enhances performance by […] The post Understanding Async IO in Python appeared first on Analytics Vidhya.

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Embracing AI: Hollywood’s Path to a New Era

Unite.AI

In Hollywood, where dreams are made and legends are born, a new force is emerging that promises to redefine the landscape of the entertainment industry, generative artificial intelligence. The question on everyone's mind shouldn’t be so much about the jobs AI might replace , or mundane tasks that GenAI will aid in, but rather about the transformative potential it holds for our industry.

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What is Levenshtein Distance?

Analytics Vidhya

Introduction As you work on a significant document, let’s say you see you’ve spelled a word incorrectly. It can be difficult to find and fix these kinds of mistakes by hand. Now for the intriguing Levenshtein Distance: it measures the amount of work needed to change one sequence into another, providing an effective tool for […] The post What is Levenshtein Distance?

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Best of all worlds: Building a sustainable, profitable future with enterprise asset lifecycle management solutions from IBM 

IBM Journey to AI blog

Global warming has reached a tipping point. According to the United Nations, the world is on course to breach the 1.5°C warming threshold by 2035 (link resides outside ibm.com) and climb at least another 1°C higher by 2100. To avert the worst impacts of climate change and adapt to the new environmental imperatives, it’s crucial for enterprises to act now to implement effective sustainability strategies.

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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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AV Byte: Breakthroughs in AI – OpenAI’s GPT-4o Mini and Other Game-Changing Innovations

Analytics Vidhya

This week, the AI world has been buzzing with excitement as major players like OpenAI, Mistral AI, NVIDIA, DeepSeek, and Hugging Face unveiled their latest models and innovations. These new releases promise to make AI more powerful, affordable, and accessible. With advancements in training techniques, these developments are set to transform various industries, showcasing the […] The post AV Byte: Breakthroughs in AI – OpenAI’s GPT-4o Mini and Other Game-Changing Innovations appeared

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Google DeepMind at ICML 2024

DeepMind

Teams from across Google DeepMind will present more than 80 research papers exploring AGI, the challenges of scaling and the future of multimodal generative AI.

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What is the Forward Process Stable Diffusion?

Analytics Vidhya

Introduction Have you ever wondered how AI can create stunning images from scratch? That’s where Stable Diffusion comes in! It’s a fascinating concept in machine learning and generative AI, falling under the umbrella of generative models. In this article, we’ll dive into the magic behind Stable Diffusion. We’ll explore its theoretical foundations, practical implementation, and […] The post What is the Forward Process Stable Diffusion?

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Magnetic Marvels: NVIDIA’s Supercomputers Spin a Quantum Tale

NVIDIA

Research published earlier this month in the science journal Nature used NVIDIA-powered supercomputers to validate a pathway toward the commercialization of quantum computing. The research, led by Nobel laureate Giorgio Parisi, focuses on quantum annealing, a method that may one day tackle complex optimization problems that are extraordinarily challenging to conventional computers.

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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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How to Set Up MLflow on GCP?

Analytics Vidhya

Introduction I recently needed to set up an environment of MLflow, a popular open-source MLOps platform, for internal team use. We generally use GCP as an experimental platform, so I wanted to deploy MLflow on GCP, but I couldn’t find a detailed guide on how to do so securely. Several points are stuck for beginners […] The post How to Set Up MLflow on GCP?

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Is Generative AI Boosting Individual Creativity but  Reducing Collective Novelty?

Marktechpost

Innovation and the artistic, musical, and literary expression of human experiences and emotions depend on creativity. However, the idea that material created by humans is inherently better is coming under pressure from the emergence of generative artificial intelligence (AI) technologies, such as Large Language Models (LLMs). Content in several formats, such as text (ChatGPT), graphics (Midjourney), audio (Jukebox), and video (Pictory), can be produced using generative AI.

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The one constant in our AI future? Data

SAS Software

With all the technology changes coming in the next five years, what should organizations invest in first? The innovations keep coming and so do the 3 a.m. night sweats for decision makers. “How will we catch up when technology seems to change overnight, nearly every night?” It’s a surprisingly common [.] The post The one constant in our AI future? Data appeared first on SAS Blogs.

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DotaMath: Advancing LLMs’ Mathematical Reasoning Through Decomposition and Self-Correction

Marktechpost

Large language models (LLMs) have significantly advanced various natural language processing tasks, but they still face substantial challenges in complex mathematical reasoning. The primary problem researchers are trying to solve is how to enable open-source LLMs to effectively handle complex mathematical tasks. Current methodologies struggle with task decomposition for complex problems and fail to provide LLMs with sufficient feedback from tools to support comprehensive analysis.

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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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10 Important Blogs to Stay Updated with LLM Research & News

Towards AI

Last Updated on July 19, 2024 by Editorial Team Author(s): Youssef Hosni Originally published on Towards AI. Staying up-to-date with the rapidly evolving world of Large Language Model (LLM) research and news can be a challenging task. With countless resources and endless streams of information, it’s easy to get overwhelmed. Luckily, there are many outstanding bloggers and newsletter writers who dedicate their time to distilling the latest advancements and trends in LLM research.

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Snowflake-Arctic-Embed-m-v1.5 Released: A 109M Parameters Groundbreaking Text Embedding Model with Enhanced Compression and Performance Capabilities

Marktechpost

Snowflake recently announced the release of its updated text embedding model, snowflake-arctic-embed-m-v1.5. This model generates highly compressible embedding vectors while maintaining high performance. The model’s most noteworthy feature is its ability to produce embedding vectors compressed to as small as 128 bytes per vector without significantly losing quality.

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AI Hallucinations

Towards AI

Author(s): Paul Ferguson, Ph.D. Originally published on Towards AI. Where Artificial Intelligence Meets Artificial ImaginationImage generated by Dall-E In an age where AI can outperform humans in complex tasks, it’s also spinning tales that would make Baron Munchausen blush. Large Language Models (LLMs), the crown jewels of artificial intelligence, are unintentionally becoming the world’s most sophisticated liars.

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Q-Sparse: A New Artificial Intelligence AI Approach to Enable Full Sparsity of Activations in LLMs

Marktechpost

LLMs excel in natural language processing tasks but face deployment challenges due to high computational and memory demands during inference. Recent research [MWM+24, WMD+23, SXZ+24, XGZC23, LKM23] aims to enhance LLM efficiency through quantization, pruning, distillation, and improved decoding. Sparsity, a key approach, reduces computation by omitting zero elements and lessens I/O transfer between memory and computation units.

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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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How Long Should You Train Your Language Model?

databricks

How long should you train your language model? How large should your model be? In today's generative AI landscape, these are multi-million dollar.

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PolygloToxicityPrompts: A Dataset of 425K Naturally-Occurring Prompts Across 17 Languages with Varying Degrees of Toxicity

Marktechpost

The growth of low-quality data on the internet leads to the instillation of undesirable, unsafe, or toxic knowledge in large language models (LLMs). When these models are used in chatbots, they increase the risk of exposing users to harmful advice or aggressive behavior. Existing toxicity evaluation datasets, primarily focused on English, fail to capture multilingual toxicity, compromising the safety of LLMs.

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Byte-Sized Courses: NVIDIA Offers Self-Paced Career Development in AI and Data Science

NVIDIA

AI has seen unprecedented growth — spurring the need for new training and education resources for students and industry professionals. NVIDIA’s latest on-demand webinar, Essential Training and Tips to Accelerate Your Career in AI , featured a panel discussion with industry experts on fostering career growth and learning in AI and other advanced technologies.