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

Researchers have introduced a novel approach called natural language embedded programs (NLEPs) to improve the numerical and symbolic reasoning capabilities of large language models (LLMs). The technique involves prompting LLMs to generate and execute Python programs to solve user queries, then output solutions in natural language. While LLMs like ChatGPT have demonstrated impressive performance on various tasks, they often struggle with problems requiring numerical or symbolic reasoning.

Computational Linguistics 287

Computational Linguistics Large Language Models Big Data ChatGPT 287

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 309

Big Data 309

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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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

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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ETL Data Analysis Deep Learning Data Science 294

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 292

Machine Learning 292

Unite.AI

JUNE 14, 2024

AI is coming to institutional investing. A JP Morgan survey shows that 61% of traders see artificial intelligence as the most influential technology in their industry in the coming years – far outdistancing other choices, such as blockchain-based trading or quantum computing. For many, though, AI is simply a buzzword – a term used to describe advanced technologies that everyone believes will shape the future.

Machine Learning 261

Machine Learning AI AI Artificial Intelligence 261

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 280

Python 280

AssemblyAI

JUNE 14, 2024

Streaming Speech-to-Text technology (also known as live transcription) converts real-time audio streams into accurate text. From live sporting events to conference calls, live transcription makes interactions more engaging and accessible for everyone. Industries including financial services, health care, customer support, and market research are using Streaming Speech-to-Text to drive engagement, improve accessibility, and generate immediate insights.

Natural Language Processing 147

Natural Language Processing Artificial Intelligence Artificial Intelligence Machine Learning 147

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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

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 278

Data Analysis 278

Unite.AI

JUNE 14, 2024

AI voice and text-to-speech generators are changing the game by providing realistic voiceovers for various applications in seconds. Gone are the days of spending hours sourcing voice actors or struggling with robotic-sounding text-to-speech software. As someone who has tested the most popular AI voice generators like ElevenLabs , I wanted to see how PlayHT measured up.

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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.

Data Science 271

Data Science Data Analysis Python 271

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

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

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 289

Artificial Intelligence Artificial Intelligence AI AI 289

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.

Large Language Models 130

Large Language Models LLM Categorization NLP 130

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?

Data Science 208

Data Science Data Scientist 208

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.

Large Language Models 145

Large Language Models LLM Data Quality Generative AI 145

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.

Business Intelligence

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.

Artificial Intelligence 134

Artificial Intelligence Artificial Intelligence LLM Large Language Models 134

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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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.

Artificial Intelligence 128

Artificial Intelligence Artificial Intelligence Natural Language Processing Machine Learning 128

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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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

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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ML AI AI Artificial Intelligence 128

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

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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Natural Language Processing Large Language Models NLP AI 117

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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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

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 122

Extreme Tech

JUNE 14, 2024

The JPL team recently found a spot where the rover could slip down into the river to avoid a field of dangerous boulders.

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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 112

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