Large language model
Generative AI and large language models (LLMs) are often used for question answering systems based on external knowledge. Traditional systems struggle with vague or ambiguous questions without context. To address this, an interactive clarification component using LangChain is introduced, allowing a conversational dialogue with users to gather context and provide accurate answers. The solution is…
Welsh police used facial recognition technology to scan Beyoncé concertgoers in Cardiff in May this year, aiming to find matches to a watch list of suspected terrorists and pedophiles. The use of facial recognition at events has been criticized, but South Wales Police and Crime Commissioner Alun Michael supported its use, stating that it was…
OpenAI and Google are aggressively competing for the top AI researchers by offering large incentives. OpenAI’s recent valuation boost has allowed them to offer huge salaries to Google staff, while Google is forced to increase salaries to retain key employees. Factors such as management style and project profiles also influence researchers’ decisions. Google currently has…
Apple Inc. is preparing to launch iOS 18 at its next Worldwide Developer Conference. The update will focus on integrating generative AI and is an effort to keep up with Google and OpenAI. Significant software advancements, particularly in generative AI, are expected, and the update will offer overhauls in features, design, security, and performance. The…
Relax is a compiler abstraction that optimizes machine learning models with dynamic shapes. It uses symbolic shape annotations to track dynamic shape computations and enables cross-level optimizations. The forward deduction method is used to infer annotations based on input components. Experimental results show competitive performance across different hardware backends.
SmartEM, developed by researchers from MIT and Harvard, combines powerful electron microscopes with AI to quickly capture and understand details of the brain. It acts like an assistant, focusing on essential areas and helping scientists examine tiny parts of the brain. SmartEM can reconstruct detailed 3D maps and make brain studies faster and more cost-effective.…
Researchers from Google DeepMind conducted a study on the in-context learning capabilities of large language models, specifically transformers. The study found that transformers perform well in tasks within the pretraining data but face limitations and reduced generalization when dealing with out-of-domain tasks. The research emphasizes the importance of pretraining data coverage over inductive biases for…
The text provides solutions to fix the “Error Generating a Response” issue in ChatGPT. Users are advised to check the OpenAI server status, refresh the ChatGPT page or restart the browser, simplify prompts, run network speed tests, disable VPNs and proxies, use incognito mode or different browsers, and clear browser cache and data. The alternative…
Asking questions to your data set has always been interesting.
AltUp is a novel method that addresses the challenge of scaling up token representation in Transformer neural networks without increasing computational complexity. It partitions the representation vector into blocks and processes one block at each layer, utilizing a prediction-correction mechanism to infer outputs for non-processed blocks. AltUp outperforms dense models in benchmark tasks and shows…
The Long Short-Sequence Transformer (LSS Transformer) is a new efficient distributed training method for transformer models with extended sequences. It segments sequences among GPUs, resulting in faster training and improved memory efficiency. The LSS Transformer outperforms other sequence parallel methods, achieving impressive speedups and memory reduction. It has potential applications in DNA sequence analysis, document…
Researchers from Zhipu AI and Tsinghua University have introduced CogVLM, an open-source visual language model that aims to enhance the integration between language and visual information. This model achieves state-of-the-art or near-best performance on various cross-modal benchmarks and is expected to have a positive impact on visual understanding research and applications.
Engineers have created a method to rapidly detect various system failures prior to real-world use.
Determinism is a philosophical theory about the nature of the universe, suggesting that there is no randomness and that every event has a set of causes. This idea of determinism is relevant to various aspects of data science, including probability theory, irreducible error in machine learning models, the concept of a “god” model, causality and…
Readers Digest offers a gradual learning path for data engineering in an article on Towards Data Science.
Child psychiatrist David Tatum from North Carolina has received a 40-year prison sentence for his involvement in the production, transportation, and possession of child pornography. What sets this case apart is Tatum’s use of AI to digitally manipulate images of minors, turning them into sexually explicit content. Some of Tatum’s victims were reportedly his own…
This text is a comprehensive guide to 10 common clustering algorithms used for Hierarchical, Partitional, and Density-Based Clustering. For more details, visit Towards Data Science.
Google DeepMind researchers have proposed a framework called ‘Levels of AGI’ to categorize and understand the behavior of Artificial General Intelligence (AGI) models. The framework focuses on autonomy, generality, and performance, offering a common vocabulary to evaluate risks and track advancements in AI. It emphasizes responsible integration into human-centric contexts and provides a structured way…
Neural MMO 2.0 is an advanced multi-agent environment for reinforcement learning research. It offers a flexible task system that allows users to define diverse objectives and reward signals. The platform has undergone a complete rewrite and is now compatible with CleanRL. It provides a dynamic space for studying complex multi-agent interactions and reinforcement learning dynamics.…
This text introduces Survival Analysis and its application in Python. It is available on Towards Data Science.