Researchers from MIT have developed a new method called CONSENSUS GAME to improve language model (LM) decoding processes. It combines generative and discriminative approaches to extract the best estimate of truth from contradicting signals. The game-theoretic method, known as EQUILIBRIUM-RANKING, outperformed existing techniques in question-answering benchmarks. This research demonstrates how game theory can enhance coherence…
Two friends, Salvatore Aiello and Monica Powers, met at an online event and created an AI tool called DimeADozen. They spent $185 to make it and sold it for $150,000. Even after selling it, they continue to help the tool grow. Lesson learned: small ideas can turn into something big!
NYC Mayor Eric Adams is using AI-generated deepfake technology to make automated robocalls to his city’s residents. The AI creates audio of Adams speaking in various languages, allowing him to reach a wider audience. While practical, this raises ethical concerns as the recipients are not informed that the voice they hear is AI-generated. Some criticize…
IBM Research’s lab in California has developed the NorthPole chip, which could accelerate the realization of AI on the edge. The chip, with 256 cores and its own memory, eliminates the need for off-chip memory, making it faster and more energy-efficient. IBM’s initial results indicate that NorthPole outperforms other chips in terms of power usage,…
Researchers have developed OmniControl, a diffusion-based human generation model that incorporates spatial control signals over any joint at any given time. This model addresses the limitations of previous techniques in integrating variable spatial control signals, allowing for more realistic and precise human motion. By combining spatial and realism guidance, OmniControl achieves better motion realism and…
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…
A report by Oxford University Press reveals that nearly 49% of teachers feel unprepared for the impact of artificial intelligence (AI) on education. They call for more assistance in preparing students for an AI-driven future. The report emphasizes the need for government support in ensuring responsible and effective use of AI in schools. Nigel Portwood,…
The Vision Language Model (VLM) is an advanced AI system that combines natural language understanding with image recognition. Researchers from Google have developed a new model called PaLI-3, which outperforms larger models in tasks like localization and text understanding. The study highlights the benefits of contrastive pre-training for VLMs and emphasizes the need for further…
Researchers have discovered that artificial neural networks designed to mimic human perception often exhibit invariances that do not match those found in human sensory perception. Model metamers, synthetic stimuli with similar activations to natural images or sounds, revealed significant differences between the invariances of computational models and human perception. This research highlights the challenges of…
UCSD and Microsoft researchers have developed COLDECO, a tool for inspecting code generated by large language models (LLMs) in spreadsheets. This tool aims to address the challenge of accuracy and trust in LLM-generated code by providing end-user inspection features, such as decomposing the solution into intermediate helper columns and highlighting interesting cases in summary rows.…
The research paper introduces 4K4D, a method for real-time view synthesis of dynamic 3D scenes at 4K resolution. It uses a 4D point cloud representation and acceleration techniques to improve rendering speed. 4K4D achieves state-of-the-art rendering quality and is 30 times faster than existing methods. However, it has limitations in storage requirements and establishing point…