Unite.AI

OCTOBER 16, 2024

In Support Experience: How Innovative Companies Use Artificial Intelligence to Win the Hearts, Minds, and Wallets of Customers , author Krishna Raj Raja introduces a fresh approach to customer relationships powered by AI. The book highlights how leading companies are turning customer support into a proactive, strategic tool that boosts long-term business success.

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Explainability AI AI Artificial Intelligence 130

Analytics Vidhya

OCTOBER 16, 2024

Introduction Suppose you are over a map of roads, and you want to know how to get from one city to another using the fewest possible roads. When delivering products through city roads or searching for the most effective route in a network or other systems, the shortest route is crucial. However, one of the […] The post Dijkstra Algorithm in Python appeared first on Analytics Vidhya.

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Algorithm Python 112

Unite.AI

OCTOBER 16, 2024

UltiHash , a provider of high-performance and eco-friendly data storage solutions, has launched its object storage platform to address critical issues in AI data storage. This development aims to resolve mounting challenges in the AI industry related to infrastructure costs and environmental sustainability. The new platform enhances performance for data-heavy applications, including generative AI and advanced analytics, offering scalable and sustainable solutions for data management.

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AI AI Generative AI AI Modeling 130

Analytics Vidhya

OCTOBER 16, 2024

Introduction Creating visually engaging content can be a time-consuming task for bloggers and creators. After crafting a compelling article, finding the right images is often a separate challenge. But what if Blog Creation with AI could do it all for you? Imagine a seamless process where, alongside your writing, AI generates original, high-quality images tailored […] The post Automated Image Generation: Transforming Your Blog Creation Process appeared first on Analytics Vidhya.

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Automation AI AI NLP 110

Speaker: Jay Allardyce

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

Marktechpost

OCTOBER 16, 2024

High-performance AI models that can run at the edge and on personal devices are needed to overcome the limitations of existing large-scale models. These models require significant computational resources, making them dependent on cloud environments, which poses privacy risks, increases latency, and adds costs. Additionally, cloud reliance is not suitable for offline scenarios.

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Inference Engine Natural Language Processing AI AI 115

Marktechpost

OCTOBER 16, 2024

Large language models (LLMs) have gained widespread adoption due to their advanced text understanding and generation capabilities. However, ensuring their responsible behavior through safety alignment has become a critical challenge. Jailbreak attacks have emerged as a significant threat, using carefully crafted prompts to bypass safety measures and elicit harmful, discriminatory, violent, or sensitive content from aligned LLMs.

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Large Language Models Inference Engine LLM Algorithm 99

SAS Software

OCTOBER 16, 2024

The INPUT function and PUT function in SAS are used to apply informats and formats (respectively) to data. For both functions, you must know in advance which informat or format you want to apply. For brevity, let's consider only applying a format. To use the PUT function, you must know [.] The post Run-time variations of the INPUT and PUT functions in SAS appeared first on SAS Blogs.

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Marktechpost

OCTOBER 16, 2024

Reinforcement learning (RL) provides a framework for learning behaviors for control and making decisions (known as policies) that help the model earn the most rewards in a given environment. Online RL algorithms iteratively take actions, collecting observations and rewards from the environment, and then update their policy using the latest experience.

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Inference Engine Algorithm ML AI 87

Artificial Lawyer

OCTOBER 16, 2024

Juro, which focuses on corporate contracting needs, has launched ‘AI Extract’ to accelerate the review of incoming third-party contracts. The new feature will analyse contracts.

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AI AI 57

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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!

Marktechpost

OCTOBER 16, 2024

Quantum computers are a revolutionary technology that harnesses the principles of quantum mechanics to perform calculations that would be infeasible for classical computers. Evaluating the performance of quantum computers has been a challenging task due to their sensitivity to noise, the complexity of quantum algorithms, and the limited availability of powerful quantum hardware.

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AI Researcher AI Research Inference Engine AI 84

databricks

OCTOBER 16, 2024

AI/BI Genie is a conversational experience for business teams to self-serve insights from their data through natural language. Genie leverages generative AI tailored.

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Generative AI AI AI 55

Marktechpost

OCTOBER 16, 2024

The most serious challenge regarding IGNNs relates to slow inference speed and scalability. While these networks are effective at capturing long-range dependencies in graphs and addressing over-smoothing issues, they require computationally expensive fixed-point iterations. This reliance on iterative procedures severely limits their scalability, particularly when applied to large-scale graphs, such as those in social networks, citation networks, and e-commerce.

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Neural Network Inference Engine ML Machine Learning 82

Extreme Tech

OCTOBER 16, 2024

Android 15 brings AI-powered theft protection, a way to hide sensitive apps, enhanced multitasking for foldables, and some improved camera features.

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AI AI 59

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 16, 2024

Large language models (LLMs) have revolutionized various fields by enabling more effective data processing, complex problem-solving, and natural language understanding. One major innovation is retrieval-augmented generation (RAG), which allows LLMs to retrieve relevant information from external sources, such as large knowledge databases, to generate better answers.

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LLM AI Researcher AI Research Inference Engine 68

databricks

OCTOBER 16, 2024

At Databricks, we are constantly innovating and optimizing our platform to ensure that our customers can maximize the value of their data and.

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Marktechpost

OCTOBER 16, 2024

Photovoltaic energy, which uses solar panels to turn sunlight into electricity, is an important part of the shift to renewable energy. Deep learning-based prediction is critical for optimizing output, anticipating weather fluctuations, and improving solar system efficiency, allowing for more intelligent energy network management. There are numerous techniques for predicting PV power generation.

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Machine Learning Neural Network Deep Learning Inference Engine 63

Pickl AI

OCTOBER 16, 2024

Summary: TensorFlow is an open-source Deep Learning framework that facilitates creating and deploying Machine Learning models. Its scalability and flexibility support many applications, making it essential for modern AI development. Introduction TensorFlow supports various platforms and programming languages , making it a popular choice for developers.

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Neural Network Deep Learning Machine Learning Natural Language Processing 52

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

Marktechpost

OCTOBER 16, 2024

Model merging, particularly within the realm of large language models (LLMs), presents an intriguing challenge that addresses the growing demand for versatile AI systems. These models often possess specialized capabilities such as multilingual proficiency or domain-specific expertise, making their integration crucial for creating more robust, multi-functional systems.

Inference Engine 58

Inference Engine Large Language Models AI AI 58

NYU Center for Data Science

OCTOBER 16, 2024

In the wake of OpenAI’s announcement of their new o1 model, CDS Professor of Computer Science and Data Science Kyunghyun Cho tweeted, “ Phew, did you say multiple models, inference time adaptive compute, multimodality and language? ” The tweet linked to a paper from 2018, hinting at the foundational research behind these now-commercialized ideas. In the fast-paced world of artificial intelligence, groundbreaking ideas can sometimes take years to materialize in commercial products.

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Deep Learning Data Science OpenAI Artificial Intelligence 52

Marktechpost

OCTOBER 16, 2024

Large Language Models (LLMs) have demonstrated remarkable progress in natural language processing tasks, inspiring researchers to explore similar approaches for text-to-image synthesis. At the same time, diffusion models have become the dominant approach in visual generation. However, the operational differences between the two approaches present a significant challenge in developing a unified methodology for language and vision tasks.

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Inference Engine Natural Language Processing Large Language Models ML 58

Artificial Corner

OCTOBER 16, 2024

Photo by Daria Nepriakhina on Unsplash I’ve made a list of 5 books I read some years ago. I recommend reading them if you’ve been dabbling in data science, ML, or AI and would like to learn them from scratch. Also, the books are great for those with some previous knowledge of Python, statistics, or math and would like to know how that knowledge can be used in data science, ML, and AI.

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Data Science Machine Learning Python Data Scientist 52

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Marktechpost

OCTOBER 16, 2024

Machine learning focuses on developing models that can learn from large datasets to improve their predictions and decision-making abilities. One of the core areas of development within machine learning is neural networks, which are especially critical for tasks such as image recognition, language processing, and autonomous decision-making. These models are governed by scaling laws, suggesting that increasing model size and the amount of training data enhances performance.

Large Language Models 58

Large Language Models Neural Network Machine Learning Inference Engine 58

SAS Software

OCTOBER 16, 2024

The SAS Championship was on the line. With Padraig Harrington holding a slim two-stroke lead, Sunday’s final round promised to be a heart-pounding affair. Jerry Kelly stormed out of the gate on the final day, carding birdie after birdie. As the tension mounted, the match hung in the balance. The [.

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Marktechpost

OCTOBER 16, 2024

The need for efficient and trustworthy techniques to assess the performance of Large Language Models (LLMs) is increasing as these models are incorporated into more and more domains. When evaluating how effectively LLMs operate in dynamic, real-world interactions, traditional assessment standards are frequently used on static datasets, which present serious issues.

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Inference Engine Large Language Models OpenAI AI 58

SAS Software

OCTOBER 16, 2024

Five years ago, there was no conflict in Ukraine. People went into offices for work. No one was fighting over toilet paper. Everyone’s concept of AI was loosely anchored by Hollywood films like Terminator or War Games. And, insurers enjoyed relatively stable profits, consistent inflation/interest rates, and manageable change volume. [.

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AI AI 52

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 16, 2024

It's just DDR5-6400 to start, which is conservative.

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ODSC - Open Data Science

OCTOBER 16, 2024

From Tuesday, October 29th to 31st, we’ve curated a schedule packed with over 150 practical sessions, hands-on workshops, and expert-led talks designed to help you sharpen your skills and elevate your role as a data scientist or AI professional. With top AI companies like Anthropic, NVIDIA, Google DeepMind, and Microsoft presenting, you’ll get insights straight from the industry leaders driving innovation.

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Data Science Prompt Engineer Prompt Engineering AI Engineer 40

Extreme Tech

OCTOBER 16, 2024

It's just more ice.

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