Unite.AI

OCTOBER 22, 2024

Efficiency isn’t just a competitive advantage anymore—it’s a business imperative. Achieving operational excellence means more than adopting new tools; it requires a complete rethinking of how operations are run. That’s where artificial intelligence comes in. AI isn’t simply automating routine tasks; it’s transforming how businesses forecast demand, manage supply chains, make data-driven decisions, and respond to real-time challenges.

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AI News

OCTOBER 22, 2024

Anthropic has announced upgrades to its AI portfolio, including an enhanced Claude 3.5 Sonnet model and the introduction of Claude 3.5 Haiku, alongside a “computer control” feature in public beta. The upgraded Claude 3.5 Sonnet demonstrates substantial improvements across all metrics, with particularly notable advances in coding capabilities. The model achieved an impressive 49.0% on the SWE-bench Verified benchmark, surpassing all publicly available models, including OpenAI’s offerings an

AI Modeling 269

AI Modeling Big Data AI AI 269

IBM Journey to AI blog

OCTOBER 22, 2024

Data is the differentiator as business leaders look to utilize their competitive edge as they implement generative AI (gen AI). Leaders feel the pressure to infuse their processes with artificial intelligence (AI) and are looking for ways to harness the insights in their data platforms to fuel this movement. Indeed, IDC has predicted that by the end of 2024, 65% of CIOs will face pressure to adopt digital tech , such as generative AI and deep analytics.

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AI News

OCTOBER 22, 2024

Penguin Random House (PRH) has taken a significant step in response to rising concerns about the use of intellectual property to train AI systems. The publisher has introduced a new statement to the copyright pages of both new and reprinted books, stating, “No part of this book may be used or reproduced in any manner for the purpose of training artificial intelligence technologies or systems.” This change is supplemented by a section that excludes PRH’s works from the European

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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

AssemblyAI

OCTOBER 22, 2024

More and more developers are embedding Speech AI into their applications to build modern user experiences. These features range from straightforward Speech-to-Text capabilities to more complicated Audio Intelligence and LLM-powered features like PII redaction call/video summaries. For developers looking to explore this landscape, Whisper is a great choice for Speech-to-Text.

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Unite.AI

OCTOBER 22, 2024

Healthcare AI startup Tennr has secured $37 million in a Series B funding round, just six months after its $18 million Series A. Led by Lightspeed Ventures , with participation from a16z and Foundation Capital , this latest round brings Tennr’s total funding to over $61 million. Tennr is using artificial intelligence (AI) to revolutionize how healthcare organizations manage and process the mountains of documents that flow through their practices daily.

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AI News

OCTOBER 22, 2024

The EU AI Act is set to fully take effect in August 2026, but some provisions are coming into force even earlier. The legislation establishes a first-of-its-kind regulatory framework for AI systems, employing a risk-based approach that categorises AI applications based on their potential impact on safety, human rights, and societal wellbeing. “Some systems are banned entirely, while systems deemed ‘high-risk’ are subject to stricter requirements and assessments before deploymen

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Unite.AI

OCTOBER 22, 2024

Artificial Intelligence (AI) is changing our world incredibly, influencing industries like healthcare, finance, and retail. From recommending products online to diagnosing medical conditions, AI is everywhere. However, there is a growing problem of efficiency that researchers and developers are working hard to solve. As AI models become more complex, they demand more computational power, putting a strain on hardware and driving up costs.

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Neural Network Convolutional Neural Networks Deep Learning Natural Language Processing 147

Analytics Vidhya

OCTOBER 22, 2024

The rapid advancement of artificial intelligence (AI) has led to a new era of models designed to process and generate data across multiple modalities. These include text, images, audio, and video. These multimodal models are increasingly used in various applications, from content creation to advanced analytics. This article will introduce you to the concept of […] The post 7 Popular Multimodal Models and their Uses appeared first on Analytics Vidhya.

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Artificial Intelligence Artificial Intelligence AI AI 139

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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.

Unite.AI

OCTOBER 22, 2024

The World Quality Report 2024-25 by OpenText sheds light on groundbreaking trends shaping Quality Engineering (QE) and testing practices globally. With over 1,775 executives surveyed across 33 countries, the report uncovers how AI, automation, and sustainability are transforming the landscape of quality assurance. As AI technology progresses, organizations are being called to adopt new, innovative solutions for QE, especially as Generative AI (Gen AI) takes center stage.

Automation 130

Automation Data Quality AI Automation AI 130

Microsoft AI

OCTOBER 22, 2024

The most precious resources at Institut Curie are their people, who have devoted years to advanced studies. Copilot for Researcher is an agent that can help them with some of the administrative tasks in their jobs so they have more time to spend on actual new ideas.

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AI AI 134

Unite.AI

OCTOBER 22, 2024

Ryan Kolln is the Chief Executive Officer and Managing Director of Appen. Ryan brings over 20 years of global experience in technology and telecommunications, along with a deep understanding of Appen’s business and the AI industry. His professional career began as an engineer, with a focus on mobile network data engineering in Australia, Asia and North America.

Natural Language Processing 130

Natural Language Processing Generative AI Computer Vision Automation 130

Flipboard

OCTOBER 22, 2024

If billionaire entrepreneur and investor Mark Cuban was a teenager again, and in need of cash, he'd start one specific side hustle in just three steps.

Machine Learning 123

Machine Learning 123

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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

Marktechpost

OCTOBER 22, 2024

Reinforcement learning (RL) has been pivotal in advancing artificial intelligence by enabling models to learn from their interactions with the environment. Traditionally, reinforcement learning relies on rewards for positive actions and penalties for negative ones. A recent approach, Reinforcement Learning from Human Feedback (RLHF), has brought remarkable improvements to large language models (LLMs) by incorporating human preferences into the training process.

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Inference Engine Large Language Models LLM AI 118

databricks

OCTOBER 22, 2024

Over the years, organizations have amassed a vast amount of unstructured text data—documents, reports, and emails—but extracting meaningful insights has remained a challenge.

LLM 113

LLM AI Modeling AI AI 113

Marktechpost

OCTOBER 22, 2024

In recent years, large language models (LLMs) have demonstrated significant progress in various applications, from text generation to question answering. However, one critical area of improvement is ensuring these models accurately follow specific instructions during tasks, such as adjusting format, tone, or content length. This is particularly important for industries like legal, healthcare, or technical fields, where generating text that adheres to strict guidelines is crucial.

Large Language Models 116

Large Language Models Neural Network Inference Engine AI 116

NVIDIA

OCTOBER 22, 2024

AI chatbots use generative AI to provide responses based on a single interaction. A person makes a query and the chatbot uses natural language processing to reply. The next frontier of artificial intelligence is agentic AI, which uses sophisticated reasoning and iterative planning to autonomously solve complex, multi-step problems. And it’s set to enhance productivity and operations across industries.

AI 113

AI AI Artificial Intelligence Artificial Intelligence 113

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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.

Marktechpost

OCTOBER 22, 2024

Retrieval-Augmented Generation (RAG) is a growing area of research focused on improving the capabilities of large language models (LLMs) by incorporating external knowledge sources. This approach involves two primary components: a retrieval module that finds relevant external information and a generation module that uses this information to produce accurate responses.

Large Language Models 115

Large Language Models Inference Engine AI AI 115

O'Reilly Media

OCTOBER 22, 2024

I’m worried about AI. I’m not worried about it taking my job. I believe AI is a genuine productivity tool. By which I mean it can make developers produce more. The question is whether those developers are producing something good or not. The difference between an experienced developer and a junior is that an experienced developer knows: There’s more than one good solution to every problem.

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Prompt Engineering Prompt Engineer Generative AI Software Development 107

Marktechpost

OCTOBER 22, 2024

Generative AI models have become highly prominent in recent years for their ability to generate new content based on existing data, such as text, images, audio, or video. A specific sub-type, diffusion models, produces high-quality outputs by transforming noisy data into a structured format. Even though the model is significantly advanced, it still lacks control over corrupted data points, leading to suboptimal and slower outputs.

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Machine Learning Inference Engine Natural Language Processing Generative AI 111

Artificial Lawyer

OCTOBER 22, 2024

Microsoft is rolling out ‘a new set of capabilities that enable you to build autonomous agents’, which will ‘understand the nature of your work and act on your behalf – providing support acro…

AI 122

AI AI 122

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

Marktechpost

OCTOBER 22, 2024

Despite recent advances in multimodal large language models (MLLMs), the development of these models has largely centered around English and Western-centric datasets. This emphasis has resulted in a significant gap in linguistic and cultural representation, with many languages and cultural contexts around the world remaining underrepresented. Consequently, existing models often perform poorly in multilingual environments and fail to align with the socio-cultural norms of underrepresented languag

Large Language Models 110

Large Language Models Data Scarcity Inference Engine LLM 110

Artificial Lawyer

OCTOBER 22, 2024

This year’s comprehensive PwC UK 100 law firm survey has found that the Top 10 largest firms see genAI as providing increased profits and revenue, but about half of smaller firms expect a negative …

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Machine Learning Research at Apple

OCTOBER 22, 2024

Large Language Models (LLMs) are regularly updated to enhance performance, typically through changes in data or architecture. Within the update process, developers often prioritize improving overall performance metrics, paying less attention to maintaining compatibility with earlier model versions. Instance-level degradation (instance regression) of performance from one model version to the next can interfere with a user's mental model of the capabilities of a particular language model.

LLM 98

LLM Large Language Models 98

Marketing AI Institute

OCTOBER 22, 2024

OpenAI and Microsoft's 'bromance' on the rocks? Plus, AI's looming impact on your career. Join Mike and Paul as they unpack the growing tension between OpenAI and Microsoft, Brookings Institution's eye-opening report on generative AI's potential impact on the U.S. workforce, and Sequoia Capital's latest market analysis, which predicts a new era of "thinking slow" AI.

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OpenAI AI AI Generative AI 98

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Explore how enterprises can enhance developer productivity and onboarding by adopting self-hosted Cloud Development Environments (CDEs). This whitepaper highlights the simplicity and flexibility of cloud-based development over traditional setups, demonstrating how large teams can leverage economies of scale to boost efficiency and developer satisfaction.

AWS Machine Learning Blog

OCTOBER 22, 2024

Amazon SageMaker is a cloud-based machine learning (ML) platform within the AWS ecosystem that offers developers a seamless and convenient way to build, train, and deploy ML models. Extensively used by data scientists and ML engineers across various industries, this robust tool provides high availability and uninterrupted access for its users. When working with SageMaker, your environment resides within a SageMaker domain, which encompasses critical components like Amazon Elastic File System (Am

ML Engineer 101

ML Engineer Data Scientist Machine Learning ML 101

Extreme Tech

OCTOBER 22, 2024

The impetuous CEO was reportedly denied use of copyrighted 'Blade Runner' iconography but decided to use it anyway.

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databricks

OCTOBER 22, 2024

Over the past few months, we’ve been gathering your feedback and focusing on both the quality of Databricks Assistant’s responses and the overall.

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