Analytics Vidhya

JUNE 14, 2024

Introduction Efficient ML models and frameworks for building or even deploying are the need of the hour after the advent of Machine Learning (ML) and Artificial Intelligence (AI) in various sectors. Although there are several frameworks, PyTorch and TensorFlow emerge as the most famous and commonly used ones. PyTorch and Tensorflow have similar features, integrations, […] The post PyTorch vs TensorFlow: Which is Better for Deep Learning?

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AI News

JUNE 14, 2024

AI is in pretty much everyone’s conversations right now, with people using it (successfully and unsuccessfully) for a vast range of different things. Let’s face it: we’ve got stars in our eyes when it comes to AI right now – but what’s it doing to one of the vast industries on our planet, the casino industry? How is it shaking up games from the core?

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AI AI Artificial Intelligence Artificial Intelligence 261

Analytics Vidhya

JUNE 14, 2024

Introduction In today’s information age, data is king. But simply having data is not enough. To truly excel in this data-driven world, we need to be able to transform that data into actionable insights. This is where the DIKW, or Data-Information Knowledge Wisdom Pyramid, comes in. The DIKW Pyramid is a robust framework that helps […] The post The Data-Information-Knowledge-Wisdom Pyramid appeared first on Analytics Vidhya.

Big Data 297

Big Data 297

AI News

JUNE 14, 2024

The European Union recently introduced the AI Act, a new governance framework compelling organisations to enhance transparency regarding their AI systems’ training data. Should this legislation come into force, it could penetrate the defences that many in Silicon Valley have built against such detailed scrutiny of AI development and deployment processes.

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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

Analytics Vidhya

JUNE 14, 2024

Introduction Have you ever struggled with managing complex data transformations? In today’s data-driven world, extracting, transforming, and loading (ETL) data is crucial for gaining valuable insights. While many ETL tools exist, dbt (data build tool) is emerging as a game-changer. This article dives into the core functionalities of dbt, exploring its unique strengths and how […] The post Transforming Your Data Pipeline with dbt(data build tool) appeared first on Analytics Vidhya.

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Analytics Vidhya

JUNE 14, 2024

Introduction Many methods have been proven effective in improving model quality, efficiency, and resource consumption in machine learning. The distinction between fine-tuning vs full training vs training from scratch can help you decide which approach is right for your project. Then, we will review them individually and see where and when to use them, using […] The post Fine-Tuning vs Full Training vs Training from Scratch in Machine Learning appeared first on Analytics Vidhya.

Machine Learning 276

Machine Learning 276

Unite.AI

JUNE 14, 2024

Erik Schwartz is the Chief AI Officer (CAIO) Tricon Infotech. a leading consulting and software services company. Tricon Infotech delivers efficient, automated solutions and full digital transformations through custom products and enterprise implementations Erik Schwartz is a seasoned technology executive and entrepreneur with over two decades of experience in the tech sector, specializing at the intersection of AI, Information Retrieval and Knowledge Discovery.

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Large Language Models Generative AI AI AI 130

Analytics Vidhya

JUNE 14, 2024

Introduction This article describes Gantt charts and emphasizes how important they are for creating project schedules. It also shows how they can show timeframes, dependencies, and tasks. It offers detailed instructions for making Gantt charts with Python’s matplotlib and plotly tools. Also demonstrating how to use them to efficiently and effectively display project timelines.

Python 264

Python 264

Unite.AI

JUNE 14, 2024

Owing to its robust performance and broad applicability when compared to other methods, LoRA or Low-Rank Adaption is one of the most popular PEFT or Parameter Efficient Fine-Tuning methods for fine-tuning a large language model. The LoRA framework employs two low-rank matrices to decompose, and approximate the updated weights in the FFT or Full Fine Tuning, and the LoRA framework modifies these trainable parameters accordingly by adjusting the rank of the matrices.

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Large Language Models LLM Categorization NLP 130

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Analytics Vidhya

JUNE 14, 2024

Introduction This article explores ordinal data, a type of data with values that have a meaningful order but unknown magnitude between consecutive values. It covers examples such as drink sizes and professional ranks, applications in subjective evaluations like customer satisfaction surveys, appropriate statistical measures, and the qualitative nature of ordinal data.

Data Analysis 261

Data Analysis 261

NVIDIA

JUNE 14, 2024

NVIDIA today announced Nemotron-4 340B, a family of open models that developers can use to generate synthetic data for training large language models (LLMs) for commercial applications across healthcare, finance, manufacturing, retail and every other industry. High-quality training data plays a critical role in the performance, accuracy and quality of responses from a custom LLM — but robust datasets can be prohibitively expensive and difficult to access.

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Large Language Models LLM Data Quality Generative AI 145

Analytics Vidhya

JUNE 14, 2024

Introduction Mathematics is a way of uncovering possible insights or information from data as done in the field of Data Science. So data science is a vast and a type of mixed field of statistical analysis, computer science, and domain expertise. But it is still the underlying mathematics used in data science that provides essential […] The post Mathematics for Data Science appeared first on Analytics Vidhya.

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Data Science Data Analysis Python 254

Marktechpost

JUNE 14, 2024

Large language models (LLMs) have enabled the creation of autonomous language agents capable of solving complex tasks in dynamic environments without task-specific training. However, these agents often face challenges when tasked with broad, high-level goals due to their ambiguous nature and delayed rewards. The impracticality of frequent model retraining to adapt to new goals and tasks further complicates the issue.

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Artificial Intelligence Artificial Intelligence LLM Large Language Models 134

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

Analytics Vidhya

JUNE 14, 2024

Introduction If you’ve been in the market looking for a new smartwatch, you’ve probably noticed how advanced they’ve become lately. Thanks to the integration of Artificial Intelligence (AI), smartwatches are getting smarter by the day! These AI-powered smartwatches cater to the needs of fitness buffs, tech enthusiasts, and everyday users alike.

Artificial Intelligence 274

Artificial Intelligence Artificial Intelligence AI AI 274

NVIDIA

JUNE 14, 2024

When she was five years old, Veronica Miller (née Teklai) and her family left their homeland of Eritrea, in the Horn of Africa, to escape an ongoing war with Ethiopia and create a new life in the U.S. She grew up in East Orange, New Jersey, watching others judge her parents and turn them away from jobs they were qualified for because of their appearance, their accented English or their unfamiliar names.

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Analytics Vidhya

JUNE 14, 2024

Introduction Evaluation of models and medical tests is significant in both data science and medicine. However, these two domains use different metrics, which is confusing. While data scientists use precision and recall, medics use specificity and sensitivity. When it comes to the relationship between these metrics, they differ. This, therefore, calls for comprehension of their […] The post Data Science in Medicine: Precision & Recall or Specificity & Sensitivity?

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Data Science Data Scientist 195

Marktechpost

JUNE 14, 2024

Stanford University is renowned for its advancements in artificial intelligence, which have contributed significantly to cutting-edge research and innovations in the field. Its AI courses, taught by leading experts, offer comprehensive and practical knowledge, equipping students with the skills to tackle real-world challenges and drive future AI developments.

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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

Machine Learning Mastery

JUNE 14, 2024

Stable Diffusion is trained on LAION-5B, a large-scale dataset comprising billions of general image-text pairs. However, it falls short of comprehending specific subjects and their generation in various contexts (often blurry, obscure, or nonsensical). To address this problem, fine-tuning the model for specific use cases becomes crucial. There are two important fine-tuning techniques for stable […] The post Training Stable Diffusion with Dreambooth appeared first on MachineLearningMastery.

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Marktechpost

JUNE 14, 2024

Recent advancements in LLMs have paved the way for developing language agents capable of handling complex, multi-step tasks using external tools for precise execution. While proprietary models or task-specific designs dominate existing language agents, these solutions often incur high costs and latency issues due to API reliance. Open-source LLMs focus narrowly on multi-hop question answering or involve intricate training and inference processes.

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Extreme Tech

JUNE 14, 2024

Police attempting to direct traffic following an accident had to take cover when the Tesla plowed into a cruiser.

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Marktechpost

JUNE 14, 2024

Developing large language models requires substantial investments in time and GPU resources, translating directly into high costs. The larger the model, the more pronounced these challenges become. Recently, Yandex has introduced a new solution: YaFSDP, an open-source tool that promises to revolutionize LLM training by significantly reducing GPU resource consumption and training time.

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LLM AI Tools Large Language Models ML Engineer 120

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O'Reilly Media

JUNE 14, 2024

The latest release of O’Reilly Answers is the first example of generative royalties in the AI era, created in partnership with Miso. This new service is a trustworthy source of answers for the O’Reilly learning community and a new step forward in the company’s commitment to the experts and authors who drive knowledge across its learning platform. Generative AI may be a groundbreaking new technology, but it’s also unleashed a torrent of complications that undermine its trustworthiness, many of wh

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Marktechpost

JUNE 14, 2024

Large Language Models (LLMs) have made substantial progress in the field of Natural Language Processing (NLP). By scaling up the number of model parameters, LLMs show higher performance in tasks such as code generation and question answering. However, most modern LLMs, like Mistral, Gemma, and Llama, are dense models, which means that during inference, they use every parameter.

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Extreme Tech

JUNE 14, 2024

Even though High-NA EUV is just now arriving to the market, the company is already talking about what will come next.

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Marktechpost

JUNE 14, 2024

Transfer learning is particularly beneficial when there is a distribution shift between the source and target datasets and a scarcity of labeled samples in the target dataset. By leveraging knowledge from a related source domain, a pre-trained model can capture general relevant patterns and features to both domains, allowing the model to adapt more effectively to the target domain, even with limited labeled data.

Machine Learning 113

Machine Learning Data Scarcity Deep Learning Automation 113

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

JUNE 14, 2024

The company has now joined Global Foundries at the third spot in global market share for contract foundries.

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Marktechpost

JUNE 14, 2024

In recent years, image generation has made significant progress due to advancements in both transformers and diffusion models. Similar to trends in generative language models, many modern image generation models now use standard image tokenizers and de-tokenizers. Despite showing great success in image generation, image tokenizers encounter fundamental limitations due to the way they are designed.

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Large Language Models Deep Learning AI AI 109

Extreme Tech

JUNE 14, 2024

The company leadership said it wants to ensure Recall meets its 'high standards for quality and security.

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