AI News

OCTOBER 14, 2024

When we talk about real-time data, what we refer to is information that becomes available as soon as it’s created and acquired. Rather than being stored, data is forwarded directly to an application as soon as it’s collected and is made immediately available – without any lag – to support live, in-the-moment decision-making. Real-time data is at work in virtually every aspect of our lives already, powering everything from bank transactions to GPS to emergency maps created when a disa

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Large Language Models AI AI Artificial Intelligence 179

Analytics Vidhya

OCTOBER 14, 2024

Introduction In today’s digital world, Large Language Models (LLMs) are revolutionizing how we interact with information and services. LLMs are advanced AI systems designed to understand and generate human-like text based on vast amounts of data. They use deep learning techniques, particularly transformers, to perform various language tasks such as translation, text generation, and summarization. […] The post 12 Free And Paid LLMs for Your Daily Tasks appeared first on Analytics Vidh

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IBM Journey to AI blog

OCTOBER 14, 2024

In the rush to embrace generative AI, companies are stumbling upon an unexpected hurdle: soaring computing costs that threaten to derail innovation and business transformation efforts. Major AI players are feeling the economic pressure, too. OpenAI is reportedly experiencing explosive revenue growth, with monthly earnings hitting USD 300 million in August 2024.

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Large Language Models Generative AI AI AI 178

Unite.AI

OCTOBER 14, 2024

OPINION Nobody in the fictional Star Wars universe takes AI seriously. In the historic human timeline of George Lucas's 47 year-old science-fantasy franchise, threats from singularities and machine learning consciousness are absent, and AI is confined to autonomous mobile robots ( ‘droids' ) – which are habitually dismissed by protagonists as mere ‘machines'.

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Robotics AI AI Chatbots 162

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Analytics Vidhya

OCTOBER 14, 2024

Introduction While FastAPI is good for implementing RESTful APIs, it wasn’t specifically designed to handle the complex requirements of serving machine learning models. FastAPI’s support for asynchronous calls is primarily at the web level and doesn’t extend deeply into the model prediction layer. This limitation poses challenges because AI model predictions are resource-intensive operations that […] The post LitServe: The Future of Scalable AI Model Serving appeared firs

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AI Modeling Machine Learning AI AI 150

Analytics Vidhya

OCTOBER 14, 2024

Introduction Today, we will discuss the first pattern in the series of agentic AI design patterns: The Reflection Pattern. The Reflection Pattern is a powerful approach in AI, particularly for large language models (LLMs), where an iterative process of generation and self-assessment improves the output quality. We can picture it as a course developer who […] The post What is Agentic AI Reflection Pattern?

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Large Language Models AI AI Artificial Intelligence 147

IBM Journey to AI blog

OCTOBER 14, 2024

Data’s the gas that makes the AI engines hum. And many companies aren’t taking full advantage of the treasure trove of unstructured data at their fingertips because they’re not sure how to fill the tank. That’s why businesses that have the tools to process unstructured data are catching investors’ attention. Just last month, Salesforce made a major acquisition to power its Agentforce platform—just one in a number of recent investments in unstructured data mana

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Business Intelligence AI AI Automation 127

Analytics Vidhya

OCTOBER 14, 2024

Introduction Artificial intelligence (AI) is rapidly changing industries around the world, including healthcare, autonomous vehicles, banking, and customer service. While building AI models acquires a lot of attention, AI inference—the process of applying a trained model to fresh data to make predictions—is where the real-world impact occurs. As enterprises become more reliant on AI-powered applications, […] The post NVIDIA NIM: The Future of Scalable AI Inferencing appeared first on Analy

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Artificial Intelligence Artificial Intelligence AI AI 111

IBM Journey to AI blog

OCTOBER 14, 2024

OpenAI made history recently by securing a USD 6.6 billion investment to scale up its large language models—increasing their size, data volume and computational resources. Meanwhile, Anthropic’s CEO said his company already has USD 1 billion models in development, with USD 100 billion models coming soon. But as spending balloons, new research published in Nature suggests that LLMs may in fact become less reliable as they grow.

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Large Language Models LLM OpenAI ChatGPT 113

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

Marktechpost

OCTOBER 14, 2024

The problem with efficiently linearizing large language models (LLMs) is multifaceted. The quadratic attention mechanism in traditional Transformer-based LLMs, while powerful, is computationally expensive and memory-intensive. Existing methods that try to linearize these models by replacing quadratic attention with subquadratic analogs face significant challenges: they often lead to degraded performance, incur high computational costs, and lack scalability.

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LLM Large Language Models Inference Engine AI 111

IBM Journey to AI blog

OCTOBER 14, 2024

OpenAI made history recently by securing a USD 6.6 billion investment to scale up its large language models—increasing their size, data volume and computational resources. Meanwhile, Anthropic’s CEO said his company already has USD 1 billion models in development, with USD 100 billion models coming soon. But as spending balloons, new research published in Nature suggests that LLMs may in fact become less reliable as they grow.

Large Language Models 100

Large Language Models LLM OpenAI ChatGPT 100

Marktechpost

OCTOBER 14, 2024

A Model Inversion (MI) attack is a type of privacy attack on machine learning and deep learning models, where an attacker tries to invert the model’s outputs to recreate privacy-sensitive training data that was used during training including the leakage of private images in face recognition models, sensitive health details in medical data, financial information such as transaction records and account balances, and personal preferences and social connections in social media data, etc. raisi

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Categorization Neural Network Inference Engine AI 99

Extreme Tech

OCTOBER 14, 2024

Vast Space hopes Haven-2, which includes everything from laboratories to wood-paneled entertainment rooms, will succeed the ISS after it retires in 2030.

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Speaker: Brendan Sweeney, VP of Sales & Devyn Blume, Sr. Account Executive

Are you curious about how artificial intelligence is reshaping sales coaching, learning, and development? Join Brendan Sweeney and Devyn Blume of Allego for an engaging new webinar exploring AI's transformative role in sales coaching and performance improvement! Brendan and Devyn will share actionable insights and strategies for integrating AI into coaching and development - ensuring personalized, effective, and scalable training!

AI

PyImageSearch

OCTOBER 14, 2024

Home Table of Contents Photogrammetry Explained: From Multi-View Stereo to Structure from Motion Technique #1: Multi-View Stereo Technique #2: Structure from Motion Example: COLMAP Summary and Next Steps Next Steps Citation Information Photogrammetry Explained: From Multi-View Stereo to Structure from Motion In this blog post, you will learn about 3D Reconstruction.

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Explainability Computer Vision Deep Learning Algorithm 97

Marktechpost

OCTOBER 14, 2024

Generative AI models, driven by Large Language Models (LLMs) or diffusion techniques, are revolutionizing creative domains like art and entertainment. These models can generate diverse content, including texts, images, videos, and audio. However, refining the quality of outputs requires additional inference methods during deployment, such as Classifier-Free Guidance (CFG).

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Generative AI AI Modeling Large Language Models AI 93

Extreme Tech

OCTOBER 14, 2024

The company is expected to gain even more market share in 2025 thanks to blockbuster sales of its Blackwell architecture.

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AI AI 108

Marktechpost

OCTOBER 14, 2024

Current multimodal retrieval-augmented generation (RAG) benchmarks primarily focus on textual knowledge retrieval for question answering, which presents significant limitations. In many scenarios, retrieving visual information is more beneficial or easier than accessing textual data. Existing benchmarks fail to adequately account for these situations, hindering the development of large vision-language models (LVLMs) that need to utilize diverse types of information effectively.

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Categorization AI AI ML 78

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Extreme Tech

OCTOBER 14, 2024

After years of delays, the spacecraft is on its way to investigate an ocean world that could be capable of supporting life.

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Marktechpost

OCTOBER 14, 2024

Language models (LMs) are widely utilized across domains like mathematics, coding, and reasoning to handle complex tasks. These models rely on deep learning techniques to generate high-quality outputs, but their performance can vary significantly depending on the complexity of the input. While some queries are simple and require minimal computation, others are far more complex, requiring significant computational resources to achieve optimal results.

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Deep Learning AI AI ML 79

Artificial Lawyer

OCTOBER 14, 2024

UK law firm Shoosmiths has partnered with Enzai to provide an AI governance service for clients so they can know where they are on compliance issues when they tap LLMs within their business.

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AI AI 81

Marktechpost

OCTOBER 14, 2024

The challenge lies in automating computer tasks by replicating human-like interaction, which involves understanding varied user interfaces, adapting to new applications, and managing complex sequences of actions similar to how a human would perform them. Current solutions struggle with handling complex and varied interfaces, acquiring and updating domain-specific knowledge, and planning multi-step tasks that require precise sequences of actions.

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Inference Engine Automation AI AI 76

Speaker: Michael Mansard and Katherine Shealy

Generative AI is no longer just an exciting technological advancement––it’s a seismic shift in the SaaS landscape. Companies today are grappling with how to not only integrate AI into their products but how to do so in a way that makes financial sense. With the cost of developing AI capabilities growing, finding a flexible monetization strategy has become mission critical.

AI

Extreme Tech

OCTOBER 14, 2024

It's the first bit of information about Arrow Lake we've seen that's not from Intel.

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Artificial Lawyer

OCTOBER 14, 2024

Avvoka has launched Massdraft, a new capability for mass document drafting and e-signing, featuring what the company said is ‘the most advanced Docusign integration on.

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Automation 76

Extreme Tech

OCTOBER 14, 2024

It was released as a mandatory security patch, so it's theoretically leaving people at risk.

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Artificial Lawyer

OCTOBER 14, 2024

It’s conference season and Artificial Lawyer and its founder, er…me…Richard Tromans, are on tour this October and November. Here are some of the upcoming speaking.

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Speaker: Evelyn Chou

Choosing the right business intelligence (BI) platform can feel like navigating a maze of features, promises, and technical jargon. With so many options available, how can you ensure you’re making the right decision for your organization’s unique needs? 🤔 This webinar brings together expert insights to break down the complexities of BI solution vetting.

Business Intelligence

Extreme Tech

OCTOBER 14, 2024

NASA's Jim Free says Roscosmos has worked to patch the cracks and reduce air loss.

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SAS Software

OCTOBER 14, 2024

In SAS, the INPUT and PUT functions are powerful functions that enable you to convert data from character type to numeric type and vice versa. They work by applying SAS formats or informats to data. You cannot fully understand the INPUT and PUT functions without understanding formats and informats in [.] The post Understand the PUT and INPUT functions in SAS appeared first on SAS Blogs.

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Extreme Tech

OCTOBER 14, 2024

We can't see the exomoon, but based on a surprisingly large sodium cloud, NASA's Jet Propulsion Laboratory thinks it's there.

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