Sat.Aug 24, 2024 - Fri.Aug 30, 2024

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How Amazon Alexa Works Using NLP

Analytics Vidhya

Introduction Sitting in front of a desktop, away from you, is your own personal assistant, she knows the tone of your voice, answers to your questions and is even one step ahead of you. This is the beauty of Amazon Alexa, a smart speaker that is driven by Natural Language Processing and Artificial Intelligence. But […] The post How Amazon Alexa Works Using NLP appeared first on Analytics Vidhya.

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AI voice assistants evolve, promising deeper interactions

IBM Journey to AI blog

The landscape of generative AI is shifting, with tech giants betting on advanced voice assistants as the next frontier. Google’s recent launch of Gemini Live for Android users marks a significant milestone in this AI arms race, closely following OpenAI’s development of ChatGPT’s Advanced Voice Mode. These next-generation voice assistants represent a leap forward from their predecessors like Apple’s Siri and Amazon’s Alexa. “Google’s Gemini Live focuses o

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Sovereign AI gets boost from new NVIDIA microservices

AI News

To ensure AI systems reflect local values and regulations, nations are increasingly pursuing sovereign AI strategies; developing AI utilising their own infrastructure, data, and expertise. NVIDIA is lending its support to this movement with the launch of four new NVIDIA Neural Inference Microservices (NIM). These microservices are designed to simplify the creation and deployment of generative AI applications, supporting regionally-tailored community models.

Big Data 291
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Benchmarks For LLMs

Unite.AI

Understand the role and limitations of benchmarks in LLM performance evaluation. Explore the techniques for developing robust LLMs. Large Language Models have gained massive popularity in recent years. I mean, you have seen it. LLMs exceptional ability to understand human language commands made them become the absolutely perfect integration for businesses, supporting critical workflows and automating tasks to maximum efficiency.

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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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How to Prepare for an AI Job Interview?

Analytics Vidhya

Introduction It could be challenging to prepare for an AI job interview due to the vast nature of the field and the wide variety of knowledge and abilities needed. The expansion of the AI industry corresponds with a growing requirement for qualified workers. Preparing for an AI job interview requires having a thorough understanding of […] The post How to Prepare for an AI Job Interview?

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More Trending

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IDC: GenAI smartphones to drive global shipment growth in 2024

AI News

IDC has revised its global smartphone shipments forecast 2024, projecting a 5.8% year-on-year (YoY) growth to 1.23 billion units. The market intelligence firm’s optimistic outlook is driven by strong growth in affordable Android devices across emerging markets and substantial interest in generative AI-capable smartphones in premium segments.

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5 Challenges of AI in Healthcare

Unite.AI

Imagine a world where your smartwatch not only tracks your steps but also predicts a heart attack before it happens. It’s closer to reality than you think. Artificial intelligence (AI) integration in healthcare has begun, unlocking many use cases for healthcare providers and patients. The AI healthcare software and hardware market is expected to surpass $34 billion by 2025 globally.

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Optimizing LLM Tasks with AdalFlow: Achieving Efficiency with Minimal Abstraction

Analytics Vidhya

Introduction AdalFlow, founded by Li Yin, was created to bridge the gap between Retrieval-Augmented Generation (RAG) research and product development. While both communities use PyTorch, existing frameworks either lack real-world flexibility or are too complex for research. AdalFlow provides a unified library with strong string processing, flexible tools, multiple output formats, and model monitoring like […] The post Optimizing LLM Tasks with AdalFlow: Achieving Efficiency with Minimal Ab

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What is speech to text? The complete guide

AssemblyAI

Speech-to-text (also known as speech recognition or voice recognition) is a technology that converts spoken language into written text. It's the digital ears that listen and the virtual hands that type to translate our voices into words on a screen. This seemingly simple concept opens up a world of possibilities, from making our daily lives more convenient to transforming entire industries.

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Optimizing The Modern Developer Experience with Coder

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.

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Baidu restricts Google and Bing from scraping content for AI training

AI News

Chinese internet search provider Baidu has updated its Wikipedia-like Baike service to prevent Google and Microsoft Bing from scraping its content. This change was observed in the latest update to the Baidu Baike robots.txt file, which denies access to Googlebot and Bingbot crawlers. According to the Wayback Machine, the change took place on August 8.

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Yariv Fishman, Chief Product Officer at Deep Instinct – Interview Series

Unite.AI

Yariv Fishman is Chief Product Officer (CPO) at Deep Instinct, he is a seasoned product management executive with more than 20 years of leadership experience across notable global B2B brands. Fishman has held several prominent roles, including leadership positions with Microsoft where he led the Cloud App Security product portfolio and initiated the MSSP and security partner program, and Head of Product Management, Cloud Security & IoT Security at CheckPoint.

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LLM Routing: Strategies, Techniques, and Python Implementation

Analytics Vidhya

Introduction In today’s rapidly evolving landscape of large language models, each model comes with its unique strengths and weaknesses. For example, some LLMs excel at generating creative content, while others are better at factual accuracy or specific domain expertise. Given this diversity, relying on a single LLM for all tasks often leads to suboptimal results. […] The post LLM Routing: Strategies, Techniques, and Python Implementation appeared first on Analytics Vidhya.

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Automatic language detection improvements: increased accuracy & expanded language support

AssemblyAI

At AssemblyAI, we're focused on providing the complete speech-to-text API that helps companies build powerful products from voice data. This not only means industry-leading automatic speech recognition (ASR) accuracy , but also means capabilities like speaker diarization , speech understanding via LLMs , and automatic language detection, that are necessary to truly get meaning from voice data.

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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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Cerebras vs Nvidia: New inference tool promises higher performance

AI News

AI hardware startup Cerebras has created a new AI inference solution that could potentially rival Nvidia’s GPU offerings for enterprises. The Cerebras Inference tool is based on the company’s Wafer-Scale Engine and promises to deliver staggering performance. According to sources, the tool has achieved speeds of 1,800 tokens per second for Llama 3.1 8B, and 450 tokens per second for Llama 3.1 70B.

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Perplexity AI Review: Ditch Google & ChatGPT For Good?

Unite.AI

Are you tired of endlessly sifting through search results that seem to miss the mark? Or perhaps you've grown frustrated with AI tools that often fall short of your research needs? It's easy to spend countless hours navigating through search results and wrestling with AI tools that rarely seem to deliver exactly what you need. But what if there was a solution that combined the smart, personalized conversational abilities of an AI chatbot with the dependable results of a search engine ?

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10 Free Resources to Learn LLMs

Analytics Vidhya

Introduction Suppose you are on the brink of a technological revolution, which is to embrace the Large Language Models (LLMs,) to unlock some incredible opportunities. As for many innovations from developing smart chatbots to analyzing data, LLMs are in the center of them. The good news? However, what people might not realize is that you […] The post 10 Free Resources to Learn LLMs appeared first on Analytics Vidhya.

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Cloud investments soar as AI advances

IBM Journey to AI blog

These days, cloud news often gets overshadowed by anything and everything related to AI. The truth is they go hand-in-hand since many enterprises use cloud computing to deliver AI and generative AI at scale. “Hybrid cloud and AI are two sides of the same coin because it’s all about the data,” said Ric Lewis, IBM’s SVP of Infrastructure, at Think 2024.

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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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How AI can help your business get off to a flyer

AI News

Is there a problem nowadays that AI cannot solve? In all honesty, there are not many it seems. By using algorithms and ploughing through copious amounts of data and applying learnings absorbed from them, AI can spot patterns and build instruction manual-like approaches to tackle certain tasks. And, like human beings do, AI learns from experiences, so that it can apply a better approach should the same task arise again.

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Cerebras Introduces World’s Fastest AI Inference Solution: 20x Speed at a Fraction of the Cost

Unite.AI

Cerebras Systems , a pioneer in high-performance AI compute, has introduced a groundbreaking solution that is set to revolutionize AI inference. On August 27, 2024, the company announced the launch of Cerebras Inference, the fastest AI inference service in the world. With performance metrics that dwarf those of traditional GPU-based systems, Cerebras Inference delivers 20 times the speed at a fraction of the cost, setting a new benchmark in AI computing.

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Mastering Image and Video Segmentation with SAM 2

Analytics Vidhya

Introduction This guide will walk you through what Segment Anything Model 2 is, how it works, and how you’ll utilize it to portion objects in pictures and videos. It offers state-of-the-art execution and adaptability in fragmenting objects into pictures, making it an important resource for a assortment of computer vision applications. This directly points to supplying […] The post Mastering Image and Video Segmentation with SAM 2 appeared first on Analytics Vidhya.

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NVIDIA Blackwell Sets New Standard for Generative AI in MLPerf Inference Debut

NVIDIA

As enterprises race to adopt generative AI and bring new services to market, the demands on data center infrastructure have never been greater. Training large language models is one challenge, but delivering LLM-powered real-time services is another. In the latest round of MLPerf industry benchmarks, Inference v4.1, NVIDIA platforms delivered leading performance across all data center tests.

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

Speaker: Jay Allardyce, Deepak Vittal, Terrence Sheflin, and Mahyar Ghasemali

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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Chinese firms use cloud loophole to access US AI tech

AI News

Chinese organisations are utilising cloud services from Amazon and its competitors to gain access to advanced US AI chips and capabilities that they cannot otherwise obtain, according to a Reuters report based on public tender documents. In a comprehensive investigation, Reuters revealed how Chinese cloud access to US AI chips is facilitated through intermediaries.

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Amazon Taps Anthropic’s AI to Overhaul Alexa

Unite.AI

Amazon is set to upgrade its Alexa voice assistant through a strategic partnership with artificial intelligence company Anthropic. First reported by Reuters , Amazon plans to launch a new version of Alexa, codenamed “Remarkable,” which will leverage Anthropic's advanced Claude AI models. This upgrade aims to enhance Alexa's capabilities, offering users more natural conversations, personalized shopping suggestions, and improved smart home controls.

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What is Graph Database?

Analytics Vidhya

Introduction As data scales and characteristics shift across fields, graph databases emerge as revolutionary solutions for managing relationships. Unlike relational databases that use tables and rows, graph databases excel in handling complex networks. Imagine a social network where members connect as friends, followers, or colleagues—graph databases shine in such interconnected data scenarios.

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NVIDIA Launches Array of New CUDA Libraries to Expand Accelerated Computing and Deliver Order-of-Magnitude Speedup to Science and Industrial Applications

NVIDIA

News summary: New libraries in accelerated computing deliver order-of-magnitude speedups and reduce energy consumption and costs in data processing, generative AI, recommender systems, AI data curation, data processing, 6G research, AI-physics and more. They include: LLM applications: NeMo Curator, to create custom datasets, adds image curation and Nemotron-4 340B for high-quality synthetic data generation Data processing: cuVS for vector search to build indexes in minutes instead of days and a

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The Cloud Development Environment Adoption Report

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.

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Can AI writing tools and human writers coexist?

AI News

The demand for content is as high as ever in today’s digital world, with businesses, individuals, and marketers seeking fresh, engaging content to connect with their audiences. This increasing demand has resulted in the rise of AI-powered content writing tools , raising concerns from human writers about their future in this market. Can AI tools and human writers coexist in the online space?

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Is Sentiment Analysis Effective in Predicting Trends in Financial Markets?

Unite.AI

Sentiment analytics transforms financial market prediction by uncovering insights traditional analysis often misses. This strategy captures the market's mood and attitude toward assets and industries by processing text data from news, social media and financial reports. As its effectiveness becomes more evident, interest in using sentiment analysis for market forecasting rapidly grows.

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Guide to Tool Calling in LLMs

Analytics Vidhya

Introduction LLMs are all the rage, and the tool-calling feature has broadened the scope of large language models. Instead of generating only texts, it enabled LLMs to accomplish complex automation tasks that were previously impossible, such as dynamic UI generation, agentic automation, etc. These models are trained over a huge amount of data. Hence, they […] The post Guide to Tool Calling in LLMs appeared first on Analytics Vidhya.