Marktechpost

MAY 12, 2024

Language models, a subset of artificial intelligence, focus on interpreting and generating human-like text. These models are integral to various applications, ranging from automated chatbots to advanced predictive text and language translation services. The ongoing challenge in this field is enhancing these models’ efficiency and performance, which involves refining their ability to process & understand vast amounts of data while optimizing the computational power required.

Natural Language Processing 129

Natural Language Processing Artificial Intelligence Artificial Intelligence AI 129

NVIDIA

MAY 12, 2024

Quantum computing. Drug discovery. Fusion energy. Scientific computing and physics-based simulations are poised to make giant steps across domains that benefit humanity as advances in accelerated computing and AI drive the world’s next big breakthroughs. NVIDIA unveiled at GTC in March the NVIDIA Blackwell platform , which promises generative AI on trillion-parameter large language models (LLMs) at up to 25x less cost and energy consumption than the NVIDIA Hopper architecture.

Large Language Models 124

Large Language Models Algorithm Data Science LLM 124

Marktechpost

MAY 12, 2024

Large Language Models (LLMs) like GPT-3 and ChatGPT exhibit exceptional capabilities in complex reasoning tasks such as mathematical problem-solving and code generation, far surpassing standard supervised machine learning techniques. The key to unlocking these advanced reasoning abilities lies in the chain of thought (CoT) , which refers to the ability of the model to generate intermediate reasoning steps before arriving at the final answer, kind of like how we humans break down a complex proble

Large Language Models 131

Large Language Models Machine Learning ChatGPT ML 131

TheSequence

MAY 12, 2024

Created Using Ideogram Next Week in The Sequence: Edge 395: We dive into task-decomposition for autonomous agents. Review Google’s ReAct( Reason + Action) paper and the Bazed framework for building agents in TypeScript. Edge 396: With all the noise about Apple’s AI strategy, we dive into some of their recent research in Ferret-UI. You can subscribed to The Sequence below: TheSequence is a reader-supported publication.

AI Strategy 116

AI Strategy AI AI Software Engineer 116

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

Marktechpost

MAY 12, 2024

Mixture-of-experts (MoE) architectures use sparse activation to initial the scaling of model sizes while preserving high training and inference efficiency. However, training the router network creates the challenge of optimizing a non-differentiable, discrete objective despite the efficient scaling by MoE models. Recently, an MoE architecture called SMEAR was introduced, which is fully non-differentiable and merges experts gently in the parameter space.

AI 124

AI AI AI Research AI Researcher 124

Marktechpost

MAY 12, 2024

Autoregressive language models (ALMs) have proven their capability in machine translation, text generation, etc. However, these models pose challenges, including computational complexity and GPU memory usage. Despite great success in various applications, there is an urgent need to find a cost-effective way to serve these models. Moreover, the generative inference of large language models (LLMs) utilizes the KV Cache mechanism to enhance the generation speed.

LLM 121

LLM Auto-complete Large Language Models BERT 121

Towards AI

MAY 12, 2024

Last Updated on May 13, 2024 by Editorial Team Author(s): Youssef Hosni Originally published on Towards AI. When we think about large language models (LLM), we often imagine them as super-smart databases filled with internet knowledge, ready to answer any question we throw at them. But the reality is that they are clever assistants, able to understand what we tell them and help us figure things out.

LLM 102

LLM OpenAI Large Language Models Python 102

Marktechpost

MAY 12, 2024

Quantization, a method integral to computational linguistics, is essential for managing the vast computational demands of deploying large language models (LLMs). It simplifies data, thereby facilitating quicker computations and more efficient model performance. However, deploying LLMs is inherently complex due to their colossal size and the computational intensity required.

Large Language Models 117

Large Language Models Computational Linguistics Algorithm LLM 117

Towards AI

MAY 12, 2024

Last Updated on May 13, 2024 by Editorial Team Author(s): Cristian Rodríguez Originally published on Towards AI. Photo by Erik Mclean on Unsplash This article uses the convolutional neural network (CNN) approach to implement a self-driving car by predicting the steering wheel angle from input images of three front cameras in the car’s center, left, and right.

Convolutional Neural Networks 100

Convolutional Neural Networks Neural Network Auto-classification Categorization 100

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Business Intelligence

Marktechpost

MAY 12, 2024

The power of LLMs to generate coherent and contextually appropriate text is impressive and valuable. However, these models sometimes produce content that appears accurate but is incorrect or irrelevant—a problem known as “hallucination.” This issue can be particularly problematic in fields requiring high factual accuracy, such as medical or financial applications.

Large Language Models 114

Large Language Models Artificial Intelligence Artificial Intelligence AI 114

NVIDIA

MAY 12, 2024

Data centers need an upgraded dashboard to guide their journey to greater energy efficiency , one that shows progress running real-world applications. The formula for energy efficiency is simple: work done divided by energy used. Applying it to data centers calls for unpacking some details. Today’s most widely used gauge — power usage effectiveness ( PUE ) — compares the total energy a facility consumes to the amount its computing infrastructure uses.

Computer Scientist 109

Computer Scientist Generative AI AI Modeling AI 109

Robot Writers AI

MAY 12, 2024

Ukraine’s New Foreign Ministry Spokeswoman is a ‘Digital Person’ While a number of news media outlets have been using digital news avatars for a number of years, Ukraine became the first country to designate a ‘digital personality’ as an official spokesperson. Dubbed ‘Victoria,’ the cyber persona has been entrusted to make official government statements for Ukraine’s foreign ministry.

Robotics 105

Robotics AI Engineer ChatGPT AI Tools 105

Marktechpost

MAY 12, 2024

Understanding and mitigating hallucinations in vision-language models (VLVMs) is an emerging field of research that addresses the generation of coherent but factually incorrect responses by these advanced AI systems. As VLVMs increasingly integrate text and visual inputs to generate responses, the accuracy of these outputs becomes crucial, especially in settings where precision is paramount, such as medical diagnostics or autonomous driving.

ML 102

ML AI AI Computer Vision 102

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

Towards AI

MAY 12, 2024

Last Updated on May 14, 2024 by Editorial Team Author(s): Mandar Karhade, MD. PhD. Originally published on Towards AI. The chunk size can make or break the retrieval. Here is how to determine the best chunk size for your use case. Today, we will examine chunk-size optimization during the development of an RAG application. We will assume that it is a business-specific use case.

Generative AI 91

Generative AI AI AI Data Science 91

Marktechpost

MAY 12, 2024

Discover the best AI Fraud Prevention Tools and Software for detecting payment fraud, identifying identity theft, preventing insurance fraud, addressing cybersecurity threats, combating e-commerce fraud, and reducing banking and financial fraud. Greip Greip is an AI-powered fraud protection tool that assists developers in protecting their app’s financial security by avoiding payment fraud.

AI Tools 100

AI Tools Neural Network Artificial Intelligence Artificial Intelligence 100

databricks

MAY 12, 2024

How we reached 79.9% on the Spider dev dataset with Llama3 8B through savvy prompting and fine-tuning on Databricks.

Generative AI 127

Generative AI AI AI 127

Marktechpost

MAY 12, 2024

Structured commonsense reasoning in natural language processing involves automated generating and manipulating reasoning graphs from textual inputs. This domain focuses on enabling machines to understand and reason about everyday situations as humans would, translating natural language into interconnected concepts that mirror human logical processes.

Natural Language Processing 99

Natural Language Processing Large Language Models Automation AI 99

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

Towards AI

MAY 12, 2024

Last Updated on May 14, 2024 by Editorial Team Author(s): Vatsal Saglani Originally published on Towards AI. Build a fully local (nano) DiagramGPT using Llama 3 8B and learn about inline function callingImage by ChatGPT This is the third time in three weeks that I’m writing about developing AI-powered or GenAI-powered applications that work with local LLMs.

LLM 78

LLM ChatGPT AI AI 78

Marktechpost

MAY 12, 2024

Maritime transportation has always been pivotal for global trade and travel, but navigating the vast and often unpredictable waters presents significant challenges. The advent of autonomous ships promises to revolutionize this domain, leveraging advanced sensors and Artificial Intelligence (AI) to enhance situational awareness and ensure safe navigation.

Deep Learning 88

Deep Learning Artificial Intelligence Artificial Intelligence AI 88

databricks

MAY 12, 2024

How we reached 79.9% on the Spider dev dataset with Llama3 8B through savvy prompting and fine-tuning on Databricks.

Generative AI 80

Generative AI AI AI 80

Bugra Akyildiz

MAY 12, 2024

Articles Apple wrote a blog post that presents a hybrid machine learning approach for personalizing heart rate prediction during exercise by combining a physiological model based on ordinary differential equations (ODEs) with neural networks and representation learning. The key idea is to learn low-dimensional personalized representations that capture an individual's unique heart rate dynamics in response to exercise.

Neural Network 59

Neural Network Large Language Models Python Machine Learning 59

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SAS Software

MAY 12, 2024

The ancients’ practice of publicizing set-in-stone personal records would run anathema to modern data privacy laws. These days, in lieu of using contemporary personally identifiable records, I anonymized a 4,000-year-old tax record from ancient Babylon to describe three principles for effective data anonymization at scale: Embracing rare attributes: values and [.

Data Science 59

Data Science 59