A study predicts that the energy consumption of the AI industry could match that of the Netherlands by 2027. However, if AI growth slows, its environmental impact may be less severe. The study’s projections consider factors like current AI growth rate and chip availability. The findings are considered speculative, but evidence from Microsoft suggests significant…
Large Language Models (LLMs) like ChatGPT have gained popularity for their human-imitating capabilities in tasks like question answering, text summarization, and language translation. However, the extent to which these models truly understand the underlying data-generating process has been questioned. Recent research from MIT has found that LLMs learn structured representations of space and time, indicating…
Researchers from MIT have developed a guardian system that improves the safety and performance of autonomous aircraft. The system uses visual attention to monitor both the pilot and itself during flight, and intervenes if attention discrepancies exceed predefined thresholds. In simulated scenarios, the collision rate dropped from 46% without the guardian system to just 23%…
Amazon SageMaker Canvas is a service that allows business analysts and citizen data scientists to use pre-built machine learning models or build their own without writing code. It supports various use cases such as sentiment analysis, document processing, and demand forecasting. The service now includes foundation models, which can generate and summarize content using generative…
Large language models (LLMs) like ChatGPT have made significant advancements in generative AI, but they still struggle with generating inaccurate information. To address this, a benchmark called FELM has been created to evaluate factuality in LLM outputs. The study focuses on factuality assessment across diverse domains and uses fine-grained annotations to identify and categorize errors.…
This text is about understanding and applying the TimesNet architecture for forecasting using Python.
This text is an illustrative guide to the BPE tokenizer, explained in a plain and simple manner. It provides insights into the process and benefits of using BPE tokenizer for natural language processing.
This article provides a step-by-step guide on how to extend pandas DataFrames with custom methods. It includes examples of implementing probability and expectancy. Read more on Towards Data Science.
OSMnx 1.6 enables users to find the fastest and shortest route efficiently.
Generative AI is the next big technology trend that executives are preparing for, but it also comes with risks. The technology is challenging legal frameworks, creating cybersecurity threats, and causing workforce automation concerns. Organizations need to move quickly to meet expectations while ensuring compliance and ethical standards. A poll of 1,000 executives reveals that while…
Docker has announced Docker AI, an AI-powered tool that aims to enhance developer productivity by offering context-specific guidance. It leverages the expertise of Docker developers worldwide to streamline development processes and provides assistance with various aspects of application development. Docker AI fills the gap left by other AI tools that primarily focus on source code…
Researchers from Nvidia conducted a study on the impact of retrieval augmentation and context window size on the performance of large language models (LLMs) in various tasks. They found that retrieval augmentation consistently improves LLM performance, regardless of the context window size. The study provides insights for optimizing LLMs using retrieval mechanisms.
Geoffrey Hinton, known as the ‘Godfather of AI,’ expresses concern that AI could potentially surpass human intelligence and take over humanity. Though he acknowledges the benefits of AI, such as healthcare and drug development, Hinton warns that the inner workings of AI systems are not fully understood. He worries that AI might become uncontrollable and…
Google Cloud has introduced an AI tool that aims to assist healthcare professionals in retrieving critical clinical data from various medical records. This tool consolidates scattered data, allowing doctors to access clinical notes, scanned documents, and electronic health records in one location. It saves time and energy for healthcare workers and has potential applications in…
Online surveys are an essential tool for businesses to collect customer feedback, with around 90% of companies using them. This article discusses the top three competitors of Qualtrics, a popular survey tool, in 2023.
Lumin Fitness, a gym in Texas, is using virtual AI coaches to guide gym goers through workouts. The AI trainers track users’ movements and provide tailored advice using machine learning models. The gym owners believe that these AI trainers will encourage people who feel intimidated or unmotivated to work out. However, it’s important to remember…
Google has announced new capabilities in its Vertex AI Search product that will help clinicians access accurate information about patients more easily. Vertex AI Search is an AI-powered search engine that allows doctors to ask questions about a patient’s records and receive immediate answers, saving time and improving healthcare delivery. The tool can be combined…
‘Large language models’ (LLMs) have gained prominence in the field of artificial intelligence and generative AI. This article discusses the collection methods and use cases of LLM data, projecting its significance in 2023. AIMultiple provides tools and resources for businesses to leverage LLM technology.
Large Language Models (LLMs) are used for natural language processing applications, but they struggle with extended sequence creation beyond their pretraining. Researchers propose StreamingLLM, an architecture that allows LLMs to work on indefinite text without fine-tuning. StreamingLLM achieves faster speeds compared to other techniques and can accurately represent millions of tokens. It also suggests using…
MotionLM is a new approach for predicting the behavior of road agents in autonomous vehicles. It treats the prediction task as a language modeling task, similar to how language models capture complex language distributions. MotionLM outperforms other methods in forecasting the actions of road agents, making it a significant advancement in the field of multi-agent…