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New – No-code generative AI capabilities now available in Amazon SageMaker Canvas
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…
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This AI Paper introduces FELM: Benchmarking Factuality Evaluation of Large Language Models
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.…
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TimesNet: The Latest Advance in Time Series Forecasting
This text is about understanding and applying the TimesNet architecture for forecasting using Python.
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Byte-Pair Encoding For Beginners
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.
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How to Extend Pandas DataFrames with Custom Methods to Supercharge Code Functionality & Readability
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.
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Dijkstra’s algorithm weighted by travel time in OSM networks
OSMnx 1.6 enables users to find the fastest and shortest route efficiently.
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Generative AI deployment: Strategies for smooth scaling
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…
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Docker Unveils ‘Docker AI’: A Game-Changer for Developer Productivity with Context-Aware Automation
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…
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This AI Paper from NVIDIA Explores the Power of Retrieval-Augmentation vs. Long Context in Language Models: Which Reigns Supreme and Can They Coexist?
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.
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The ‘Godfather of AI’ fears AI could take over humanity
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…