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.
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.
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.
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Start building the AI workforce of the future with our comprehensive guide to creating an AI-first contact center. Learn how Conversational and Generative AI can transform traditional operations into scalable, efficient, and customer-centric experiences. What is AI-First? Transition from outdated, human-first strategies to an AI-driven approach that enhances customer engagement and operational efficiency.
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?
Artificial Intelligence Zone brings together the best content for AI and ML professionals from the widest variety of thought leaders.
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.
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.
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.
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.
Speaker: Jesse Hunter and Brynn Chadwick
Today’s buyers expect more than generic outreach–they want relevant, personalized interactions that address their specific needs. For sales teams managing hundreds or thousands of prospects, however, delivering this level of personalization without automation is nearly impossible. The key is integrating AI in a way that enhances customer engagement rather than making it feel robotic.
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.
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.
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.
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.
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The guide for revolutionizing the customer experience and operational efficiency This eBook serves as your comprehensive guide to: AI Agents for your Business: Discover how AI Agents can handle high-volume, low-complexity tasks, reducing the workload on human agents while providing 24/7 multilingual support. Enhanced Customer Interaction: Learn how the combination of Conversational AI and Generative AI enables AI Agents to offer natural, contextually relevant interactions to improve customer exp
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.
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.
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.
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?
Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage
When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale. In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation m
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.
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.
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.
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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The DHS compliance audit clock is ticking on Zero Trust. Government agencies can no longer ignore or delay their Zero Trust initiatives. During this virtual panel discussion—featuring Kelly Fuller Gordon, Founder and CEO of RisX, Chris Wild, Zero Trust subject matter expert at Zermount, Inc., and Principal of Cybersecurity Practice at Eliassen Group, Trey Gannon—you’ll gain a detailed understanding of the Federal Zero Trust mandate, its requirements, milestones, and deadlines.
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.
Extreme Tech
JUNE 14, 2024
The company could see its US business shuttered.
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.
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.
Speaker: Alexa Acosta, Director of Growth Marketing & B2B Marketing Leader
Marketing is evolving at breakneck speed—new tools, AI-driven automation, and changing buyer behaviors are rewriting the playbook. With so many trends competing for attention, how do you cut through the noise and focus on what truly moves the needle? In this webinar, industry expert Alexa Acosta will break down the most impactful marketing trends shaping the industry today and how to turn them into real, revenue-generating strategies.
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.
Extreme Tech
JUNE 14, 2024
With a redshift of 2.9, scientists estimate the star exploded when the universe was just 2.3 billion years old.
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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