Analytics Vidhya

APRIL 10, 2024

Elon Musk has been making headlines again! During a recent interview on X Spaces (his platform for discussing all things space and beyond), the he dropped a prediction about Artificial General Intelligence (AGI). Musk claims AGI could be surpassing human intelligence within the next two years! Master of Making Bold Statements Musk has a history […] The post Elon Musk Predicts AI will be Smarter than Humans by Next Year appeared first on Analytics Vidhya.

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AI News

APRIL 10, 2024

OpenAI has announced that its powerful GPT-4 Turbo with Vision model is now generally available through the company’s API, opening up new opportunities for enterprises and developers to integrate advanced language and vision capabilities into their applications. The launch of GPT-4 Turbo with Vision on the API follows the initial release of GPT-4’s vision and audio upload features last September and the unveiling of the turbocharged GPT-4 Turbo model at OpenAI’s developer confe

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Analytics Vidhya

APRIL 10, 2024

Intel has unveiled its latest AI hardware, the Gaudi 3 chip, at the recent Vision event. The launch marks a significant move in Intel’s battle against Nvidia’s dominance in the semiconductor industry, especially in AI. This announcement comes amidst the increasing demand for AI chips, while tech giants are seeking alternatives to address the scarcity […] The post Intel Challenges Nvidia Dominance with New Gaudi 3 AI Chip appeared first on Analytics Vidhya.

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IBM Journey to AI blog

APRIL 10, 2024

IDC estimates that 750 million cloud native will be built by 2025. Where and how these applications are deployed will impact time to market and value realization. The reality is that application landscapes are complex, and they challenge enterprises to maintain and modernize existing infrastructure, while delivering new cloud-native features. Three in four executives reported disparate systems in their organizations and that a lack of skills, resources and common operational practices challenge

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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

Analytics Vidhya

APRIL 10, 2024

Introduction In today’s tech world, serverless architecture has transformed app development, eliminating server management hassle and enabling seamless scalability. AI-driven chatbots, especially when linked to Knowledge Bases, provide personalized, real-time responses, enhancing user experience. Enter Amazon Bedrock, an AWS platform crafting knowledge-driven chatbots with advanced language models for accurate, relevant interactions, revolutionizing customer support.

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Analytics Vidhya

APRIL 10, 2024

Google has introduced significant upgrades to its Imagen 2 artificial intelligence (AI) model, enhancing its text-to-image capabilities. These enhancements were unveiled at the annual Google Cloud Next Conference, marking a notable advancement in AI-generated image creation. Let’s delve into the details of these upgrades and their implications.

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Unite.AI

APRIL 10, 2024

The role of artificial intelligence in enhancing customer loyalty is more critical than ever in today’s fiercely competitive business landscape. AI stands at the forefront of redefining how brands interact with customers. Integrating the technology into everyday processes has become a strategic imperative for companies seeking to build stronger, long-lasting relationships.

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Analytics Vidhya

APRIL 10, 2024

Introduction While OpenAI’s GPT-4 has made waves as a powerful large language model, its closed-source nature and usage limitations have left many developers seeking open-source alternatives. Fortunately, natural language processing (NLP) has seen a surge in powerful open-source models that match or exceed GPT-4’s capabilities in certain areas.

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Unite.AI

APRIL 10, 2024

Matt Hocking is the co-founder and CEO of WellSaid Labs, a leading enterprise-grade AI Voice Generator. He has more than 15 years of experience leading teams and delivering technology solutions at scale. Your background is fairly entrepreneurial, how did you initially get involved in AI? I guess I’ve always considered myself pretty entrepreneurial. I started my first business out of college and with a background in product design, have found myself gravitating toward helping folks with early-sta

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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?

Business Intelligence

Analytics Vidhya

APRIL 10, 2024

Introduction Imagine a world where the creation of video content transcends current limitations, letting anybody create any type of visual content. This has been made possible by Higgsfield, a new artificial intelligence (AI) video generation platform. Crafted with a foundation similar to the one behind OpenAI’s notable Sora engine, Higgsfield is poised to redefine the […] The post Sora’s New Contender: Introducing Higgsfield’s Advanced Video AI appeared first on Analytic

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Marktechpost

APRIL 10, 2024

Language models often need more exposure to fruitful mistakes during training, hindering their ability to anticipate consequences beyond the next token. LMs must improve their capacity for complex decision-making, planning, and reasoning. Transformer-based models struggle with planning due to error snowballing and difficulty in lookahead tasks. While some efforts have integrated symbolic search algorithms to address these issues, they merely supplement language models during inference.

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Analytics Vidhya

APRIL 10, 2024

Feeling overwhelmed by lengthy documents? Drowning in textbooks or struggling to understand research papers? You’re not alone. That’s where text summarization tools come in. These AI-powered tools are designed to help you extract the key points from any text, saving you valuable time and effort. Imagine summarizing a dense textbook chapter into a clear, concise […] The post Top 8 Text Summarization Tools in 2024 appeared first on Analytics Vidhya.

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Marktechpost

APRIL 10, 2024

Speech synthesis has greatly progressed in technological advancements, reflecting the human quest for machines that speak like us. As we stride into an era where interactions with digital assistants and conversational agents become commonplace, the demand for speech that echoes the naturalness and expressiveness of human communication has never been more critical.

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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

AI

Towards AI

APRIL 10, 2024

Last Updated on April 11, 2024 by Editorial Team Author(s): ronilpatil Originally published on Towards AI. Image by Author Hi folks! Ready to take your model deployment game to the next level? Let’s dive into setting up an MLflow Server on an EC2 instance! I’ll explain the steps to configure Amazon S3 bucket to store the artifacts, Amazon RDS (Postgres & Mysql) to store metadata, and EC2 instance to host the mlflow server.

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Marktechpost

APRIL 10, 2024

The abundance of web-scale textual data available has been a major factor in the development of generative language models, such as those pretrained as multi-purpose foundation models and tailored for particular Natural Language Processing (NLP) tasks. These models use enormous volumes of text to pick up complex linguistic structures and patterns, which they subsequently use for a variety of downstream tasks.

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NVIDIA

APRIL 10, 2024

Editor’s note: This post is part of the AI Decoded series , which demystifies AI by making the technology more accessible, and which showcases new hardware, software, tools and accelerations for RTX PC users. Skyscrapers start with strong foundations. The same goes for apps powered by AI. A foundation model is an AI neural network trained on immense amounts of raw data, generally with unsupervised learning.

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Marktechpost

APRIL 10, 2024

For too long, the world of natural language processing has been dominated by models that primarily cater to the English language. This inherent bias has left a significant portion of the global population feeling underrepresented and overlooked. However, a groundbreaking new development is set to challenge this status quo and usher in a more inclusive era of language models – the Chinese Tiny LLM (CT-LLM).

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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.

Business Intelligence

Towards AI

APRIL 10, 2024

Last Updated on April 11, 2024 by Editorial Team Author(s): GaryGeo Originally published on Towards AI. Today I am taking a slight detour from my usual data analysis, to indulge one of my favorite hobbies — crafting personalized greeting cards, now with a significant boost from Artificial Intelligence. My fascination with creating unique holiday, anniversary, and birthday cards for my family has evolved from handwritten notes to stylized photos to graphic designs.

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Marktechpost

APRIL 10, 2024

Fine-tuning large language models (LLMs) enhances task performance and ensures adherence to instructions while modifying behaviors. However, this process incurs significant costs due to high GPU memory requirements, especially for large models like LLaMA 65B and GPT-3 175B. Consequently, various parameter-efficient fine-tuning (PEFT) methods, such as low-rank adaptation (LoRA), are proposed, which reduces parameters and memory usage without increasing inference latency.

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Towards AI

APRIL 10, 2024

Last Updated on April 11, 2024 by Editorial Team Author(s): Andy Spezzatti Originally published on Towards AI. Beyond Words: LLMs Enhance Data Analysis from Genomics to StrategySource: Image by Nicole Herero on Unsplash Over the past two years, Large Language Models (LLMs) including ChatGPT, Antropic, and Mistral have transformed our engagement with technology.

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Marktechpost

APRIL 10, 2024

Imagine an AI system that can recognize any object, comprehend any text, and generate realistic images without being explicitly trained on those concepts. This is the enticing promise of “zero-shot” capabilities in AI. But how close are we to realizing this vision? Major tech companies have released impressive multimodal AI models like CLIP for vision-language tasks and DALL-E for text-to-image generation.

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Towards AI

APRIL 10, 2024

Last Updated on April 11, 2024 by Editorial Team Author(s): Mandar Karhade, MD. PhD. Originally published on Towards AI. I experimented with CodeGemma. Here are my results What codeGemma is supposed to be, according to Google — CodeGEMMA represents a significant advancement in the realm of code generation and completion, stemming from Google’s broader Gemma model family.

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Marktechpost

APRIL 10, 2024

Mathematical reasoning is vital for problem-solving and decision-making, particularly in large language models (LLMs). Evaluating LLMs’ mathematical reasoning usually focuses on the final result rather than the reasoning process intricacies. Current methodologies, like the OpenLLM leaderboard, primarily use overall accuracy, potentially overlooking logical errors or inefficient steps.

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Towards AI

APRIL 10, 2024

Last Updated on April 11, 2024 by Editorial Team Author(s): Louis-François Bouchard Originally published on Towards AI. Mixtral 8x7B explained Originally published on louisbouchard.ai, read it 2 days before on my blog! [link] What you know about is wrong. We are not using this technique because each model is an expert on a specific topic. In fact, each of these so-called experts is not an individual model but something much simpler.

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Marktechpost

APRIL 10, 2024

Large Language Models (LLMs) have become essential tools for various intelligent agent tasks such as web navigation. The notion of self-governing digital agents, particularly those powered by LLMs, has great potential to transform the relationship of humans with technology. These agents provide previously unthinkable possibilities by their exceptional cognition and response skills.

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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.

Generative AI

Towards AI

APRIL 10, 2024

Last Updated on April 11, 2024 by Editorial Team Author(s): Stephen Chege-Tierra Insights Originally published on Towards AI. Created by the author with DALL E-3 At one point in your life I am sure you have interacted with a nice neighbor, you know, the one who would greet you on your way to work or school, ask how your day was, help you carry groceries to your house or if you are lucky they would bring baked pie to your home.

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SAS Software

APRIL 10, 2024

When I was recently introduced to pineberries, I thought they were an under-ripe strawberry, but boy, was I wrong! These blushing berries are surprisingly sweet with a hint of tropical tartness. What are Pineberries? Pineberries are a hybrid between Japanese white strawberries and standard Florida strawberries. These white strawberries with [.] The post Pineberries: Give these Blushing Beauties a Try appeared first on SAS Blogs.

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Towards AI

APRIL 10, 2024

Last Updated on April 11, 2024 by Editorial Team Author(s): Boris Meinardus Originally published on Towards AI. How much machine learning really is in ML Engineering? It’s so confusing! There are so many different data- and machine-learning-related jobs. But what actually are the differences between a Data Engineer, Data Scientist, ML Engineer, Research Engineer, Research Scientist, or an Applied Scientist?!

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