Sat.Dec 02, 2023 - Fri.Dec 08, 2023

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AI and the Future of Work: Reskilling the Workforce in an Age of AI

Unite.AI

AI is transforming the way we work, and it's happening faster than you think. Over 100M people already use ChatGPT every week , and more than half of employees say they use AI tools at work. While there's no question that AI will help certain types of people to do their jobs better, many people are worried that it will actually replace the need for people to do certain jobs at all.

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15 Guided Projects to Sharpen Your Data Science Skills

Analytics Vidhya

Introduction In data science, where innovation meets opportunity, the demand for skilled professionals continues to skyrocket. Data science is not merely a career; it’s a gateway to solving complex problems, driving innovation, and shaping the future. With the industry witnessing an annual growth rate exceeding 36%, a career in data science promises both financial rewards […] The post 15 Guided Projects to Sharpen Your Data Science Skills appeared first on Analytics Vidhya.

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Get your IT team battle-ready for the next holiday rush 

IBM Journey to AI blog

Last year, almost 200 million people shopped on Black Friday. Online alone, they spent more than $9 billion. This holiday season, shoppers are ready to shop again and they’re prepared to spend even more. Are your IT systems ready to handle any spikes and keep everyone jolly? Or are you worried that incidents—finicky apps, slow page loads or even downtime— might ruin the holiday spirit along with your bottom line?

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Google’s next-gen AI model Gemini outperforms GPT-4

AI News

Google has unveiled Gemini , a cutting-edge AI model that stands as the company’s most capable and versatile to date. Demis Hassabis, CEO and Co-Founder of Google DeepMind, introduced Gemini as a multimodal model that is capable of seamlessly understanding and combining various types of information, including text, code, audio, image, and video.

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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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20 Best ChatGPT Prompts for Blog Writing

Unite.AI

In the digital age, where content is king, the ability to consistently produce high-quality, engaging blog posts is a vital skill for any writer, marketer, or business owner. With the ever-growing need for fresh and relevant content, the challenge often lies in generating ideas, structuring articles, and ensuring that each piece resonates with the target audience.

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Reskilling your workforce in the time of AI

IBM Journey to AI blog

As the adoption of AI and other technologies continues to expand, it will transform how we perform work with the potential to disrupt 83 million jobs globally and create 69 million new roles by 2025, according to the World Economic Forum. Like other groundbreaking technologies before it, the evolution of AI will create opportunities for new industries, new jobs and new approaches to existing ones.

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Announcing our $50M Series C to build superhuman Speech AI models

AssemblyAI

I’m excited to share that we’ve raised $50M in Series C funding led by Accel , our partners that also led our Series A, with participation from Keith Block and Smith Point Capital , Insight Partners , Daniel Gross and Nat Friedman, and Y Combinator. This brings AssemblyAI’s total funds raised to $115M — 90% of which we’ve raised in the last 22 months, as organizations across virtually every industry have raced to embed Speech AI capabilities into their products

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UltraFastBERT: Exponentially Faster Language Modeling

Unite.AI

Language models and generative AI, renowned for their capabilities, are a hot topic in the AI industry. Global researchers are enhancing their efficacy and capability. These systems, typically deep learning models, are pre-trained on extensive labeled data, incorporating neural networks for self-attention. They use various layers—feedforward, recurrent, embedded, and attention—to process input text and produce relevant outputs.

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ChatGPT vs Gemini : A Clash of the Titans in the AI Arena

Analytics Vidhya

Introduction Artificial intelligence has witnessed a captivating duel unfold between two titans – Google’s Gemini AI and OpenAI’s ChatGPT. While ChatGPT has enjoyed the spotlight, Gemini AI has quietly built its arsenal, waiting for the opportune moment to strike. And strike it did, unleashing a barrage of impressive benchmarks that have shaken the very foundation […] The post ChatGPT vs Gemini : A Clash of the Titans in the AI Arena appeared first on Analytics Vidhya.

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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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Data center consolidation: Strategy and best practices

IBM Journey to AI blog

The modern pace of data creation is staggering. The average organization produces data constantly—perhaps even continuously—and soon it’s investing in servers to provide ample storage for that information. In time, and probably sooner than expected, the organization accrues more data and outgrows that server, so it invests in multiple servers.

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Ex-Google, Coursera employees start Lutra AI to make AI workflows easier to build

Flipboard

The young startup, started in April, creates AI workflows from natural language so no technical experience is needed. © 2023 TechCrunch. All rights reserved. For personal use only.

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Big Tech is Likely to Set AI Policy in the U.S. We Can’t Let That Happen

Unite.AI

Innovation is key to success in any area of tech, but for artificial intelligence, innovation is more than key – it's essential. The world of AI is moving quickly, and many nations – especially China and Europe – are in a head-to-head competition with the US for leadership in this area. The winners of this competition will see huge advances in many areas – manufacturing, education, medicine, and much more – while the left-behinds will end up dependent on the good graces of the leading nations fo

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NVIDIA Prioritizes Japan for Supply of AI Processors

Analytics Vidhya

In a crucial move reflecting the global race for dominance in artificial intelligence (AI) technology, NVIDIA CEO Jensen Huang has affirmed the company’s commitment to prioritizing Japan’s soaring demand for AI processors. This commitment aligns with Japan’s ambitious endeavors to revitalize its semiconductor infrastructure and make significant strides in AI technology development.

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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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Google DeepMind at NeurIPS 2023

DeepMind

The Neural Information Processing Systems (NeurIPS) is the largest artificial intelligence (AI) conference in the world. NeurIPS 2023 will be taking place December 10-16 in New Orleans, USA.Teams from across Google DeepMind are presenting more than 150 papers at the main conference and workshops.

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Elon Musk is looking to raise $1 billion for xAI

Flipboard

Elon Musk is looking to raise 1/44 of a Twitter for his AI company, xAI. In other words, the man behind Tesla, SpaceX and X is seeking $1 billion in funding for his next venture.

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UC Berkeley Researchers Introduce Starling-7B: An Open Large Language Model (LLM) Trained by Reinforcement Learning from AI Feedback (RLAIF)

Marktechpost

Large Language Models (LLMs) are artificial intelligence models for natural language processing tasks. These models are trained on massive datasets and can understand and generate human-like text. They have transformed natural language processing with their ability to understand and develop human-like text. The utility is in every field of life. The UC Berkeley researchers have introduced Starling-7B , an open large language model (LLM) trained by Reinforcement Learning from AI Feedback (RLAIF).

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Creating High Quality RAG Applications with Databricks

databricks

Retrieval-Augmented-Generation (RAG) has quickly emerged as a powerful way to incorporate proprietary, real-time data into Large Language Model (LLM) applications. Today we are.

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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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Why GPUs Are Great for AI

NVIDIA

GPUs have been called the rare Earth metals — even the gold — of artificial intelligence, because they’re foundational for today’s generative AI era. Three technical reasons, and many stories, explain why that’s so. Each reason has multiple facets well worth exploring, but at a high level: GPUs employ parallel processing. GPU systems scale up to supercomputing heights.

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Europe reaches a deal on the world's first comprehensive AI rules

Flipboard

LONDON (AP) — European Union negotiators clinched a deal Friday on the world’s first comprehensive artificial intelligence rules, paving the way for legal oversight of technology used in popular generative AI services like ChatGPT that has promised to transform everyday life and spurred warnings of …

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University of Illinois Researchers Introduce Magicoder: a Series of Fully Open-Source Large Language Models (LLMs) for Code

Marktechpost

The team of researchers from the University of Illinois at Urbana Champaign and Tsinghua University aimed to address the challenge of generating low-bias and high-quality coding challenges from open-source code snippets by introducing Magicoder. Magicoder outperforms existing LLMs on various coding benchmarks, including Python text-to-code generation, multilingual coding, and data science program Language Model.

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Introducing Databricks Vector Search Public Preview

databricks

Following the announcement we made yesterday around Retrieval Augmented Generation (RAG), today, we’re excited to announce the public preview of Databricks Vector Search. W.

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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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How to Fine-tune EasyOCR to achieve better OCR performance

Towards AI

Last Updated on December 11, 2023 by Editorial Team Author(s): Eivind Kjosbakken Originally published on Towards AI. OCR is a valuable tool when you want to extract text from images. Sometimes, however, the OCR you are using is not working as well as you want it to for your specific needs. If you are facing such an issue, fine-tuning your OCR engine is the way to go.

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Google admits that a Gemini AI demo video was staged

Flipboard

There was no voice interaction, nor was the demo happening in real time. Google is counting on its very own GPT-4 competitor, Gemini, so much that it staged parts of a recent demo video.

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Researchers from MIT and Adobe Introduce Distribution Matching Distillation (DMD): An Artificial Intelligence Method to Transform a Diffusion Model into a One-Step Image Generator

Marktechpost

With a steady training process, diffusion models have revolutionized picture production, attaining previously unheard-of levels of variety and realism. But unlike GANs and VAEs, their sampling is a laborious, iterative process that gradually reduces the noise in a Gaussian noise sample to produce a complex image by progressive denoising. This limits the amount of interaction when utilizing the generation pipeline as a creative tool, usually requiring tens to hundreds of expensive neural network

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Improve your RAG application response quality with real-time structured data

databricks

Retrieval Augmented Generation (RAG) is an efficient mechanism to provide relevant data as context in Gen AI applications. Most RAG applications typically use.

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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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Boosting RAG-based intelligent document assistants using entity extraction, SQL querying, and agents with Amazon Bedrock

AWS Machine Learning Blog

Conversational AI has come a long way in recent years thanks to the rapid developments in generative AI, especially the performance improvements of large language models (LLMs) introduced by training techniques such as instruction fine-tuning and reinforcement learning from human feedback. When prompted correctly, these models can carry coherent conversations without any task-specific training data.

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Can AI catch what doctors miss?

Flipboard

AI could propel the biggest transformation in the history of medicine, says physician-scientist Eric Topol. He explains how sophisticated AI models can interpret medical images as well or better than human experts can — and, beyond that, even pick up things that human eyes can't see. Learn all the ways AI is poised to make a difference for both patients and doctors.

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Everything You Need to Know about Small Language Models (SLM) and its Applications

Marktechpost

Large Language Models (LLMs), like GPT, PaLM, LLaMA, etc., have attracted much interest because of their incredible capabilities. Their ability to utilize the strength of Natural Language Processing, Generation, and Understanding by generating content, answering questions, summarizing text, and so on have made LLMs the talk of the town in the last few months.

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