Researchers from the Australian National University, the University of Oxford, and the Beijing Academy of AI have developed an AI system called “3D-GPT” that can generate 3D environments based on text prompts. The system breaks down complex tasks into segments handled by specialized AI agents, resulting in streamlined 3D asset creation. Although not yet photorealistic,…

Researchers are finding that ChatGPT, OpenAI’s advanced language model, can provide useful feedback as an alternative to human reviewers in the peer review process. In a study, over 50% of ChatGPT’s comments on Nature papers and over 77% on ICLR papers aligned with human reviewers’ points. However, concerns about bias and accuracy persist, and it…

Retrieval Augmented Generation (RAG) has revolutionized open-domain question answering by using a retrieval module to find relevant context passages and a generative module to provide answers. However, vector search, one of the critical components, has limitations in capturing nuanced reasoning, handling complex questions, and modeling diverse relationships. Knowledge graph prompting, which encodes various connections into…

Summary: The French association Data for Good released a white paper examining the environmental impact of language models. ChatGPT’s monthly usage emits 10,000 tons of CO2, equivalent to 0.1% of the yearly carbon footprint of individuals in France/UK. If ChatGPT+ with GPT-4 is used, the carbon footprint could increase by 10 to 100 times, contributing…

This article explains how to use Numexpr expressions in multidimensional Numpy arrays to optimize performance. It provides code examples and compares the performance of the Numexpr implementation with a for loop implementation. The Numexpr version shows significant performance improvement, especially for larger datasets. The article concludes by highlighting the benefits of Numexpr in terms of…

This text provides guidance on how to navigate immediate reporting requests in the field of data analytics. It emphasizes the importance of leveraging existing metrics, establishing boundaries for recurring requests, reflecting on stakeholders’ needs, anticipating future reporting requirements, and understanding stakeholders’ perspectives. The goal is to balance urgency and sustainability in data analytics to drive…

An Analytics Engineer is responsible for transforming raw data into a format that can be used by Data Analysts to create reports and dashboards. They bridge the gap between Data Engineers and Analysts, allowing Data Engineers to focus on data ingestion while Analysts focus on the business intelligence layer. The ultimate tool for Analytics Engineering…

Google Cloud has reaffirmed its commitment to its customers by integrating Duet AI and Vertex AI into their suite of products. They have also addressed the legal risks associated with generative AI by providing a two-pronged approach to intellectual property indemnity. This ensures that Google Cloud stands behind its services and protects customers from copyright…

FastEmbed is a Python library that generates text embeddings. It eliminates the need for a co-occurrence matrix by using a random projection technique to map words into a high-dimensional space. It offers significant speed improvements compared to other methods like Word2Vec and GloVe, while maintaining accuracy. FastEmbed can be used for machine translation, text categorization,…

The research introduces VeRA, a novel method that reduces the number of trainable parameters for language models while maintaining performance levels. By focusing on all linear layers and utilizing quantization techniques and a cleaned dataset, VeRA achieves enhanced instruction-following capabilities. The evaluation demonstrates VeRA’s superior performance compared to the conventional LoRA approach, making it a…