Shaping the future of advanced robotics

“`html Evaluating Language Models: A Practical Guide To effectively compare language models, follow a structured approach that integrates standardized benchmarks with specific testing for your use case. This guide outlines the steps to evaluate large language…

AWS recognizes the transformative potential of AI and emphasizes responsible use through collaboration with customers and adherence to ISO 42001. The international standard provides guidelines for managing AI systems within organizations, promoting responsible AI practices. AWS…

The past few months have seen a reduction in the size of generative models, making personal assistant AI enabled through local computers more accessible. To experiment with different models before using an API model, you can…

The rapid progress in large language models (LLMs) has impacted various areas but raised concerns about the high computational costs. Exploring Mixture of Experts (MoE) models addresses this, utilizing dynamic task allocation and granular control over…

Netron, an open-source tool, simplifies visualizing complex ML/DL model architectures. It offers a user-friendly interface to view neural networks without configuring specific training environments. Supporting various model formats, including TensorFlow Lite, ONNX, and Keras, Netron enables…

Learn how to accelerate feature selection, which typically involves creating multiple models and can be sluggish, thanks to the tips provided in the article on Towards Data Science.

GPT4Free, an AI package, provides unauthorized access to advanced models like GPT-4, raising ethical and legal concerns. It reverse engineers API platforms, offering wider access but operating in a legally dubious space. Its significant GitHub presence…

AI Integration Playbook for Enterprises OpenAI’s Technical Playbook for Enterprise AI Integration OpenAI has released a comprehensive technical playbook that provides insights into how top companies have successfully integrated artificial intelligence (AI) into their operations. This…

The UK AI Safety Summit and Biden’s executive order have brought AI regulation into focus, but questions remain about the specifics. The Bletchley Declaration, endorsed by 28 countries, emphasizes international consensus on AI oversight. The US…

Mobile Vehicle-to-Microgrid (V2M) Services Mobile V2M services allow electric vehicles to provide or store energy for local power grids. This enhances grid stability and flexibility. AI plays a vital role in optimizing energy distribution, predicting demand,…

Google researchers introduced Cappy, a pre-trained scorer model, to enhance and surpass the performance of large multi-task language models, aiming to resolve challenges faced by them. Cappy, based on RoBERTa, works independently or as an auxiliary…

Transformers: The Backbone of Deep Learning Transformers are essential for deep learning tasks like understanding language, analyzing images, and reinforcement learning. They use self-attention to understand complex relationships in data. However, as tasks grow larger, managing…

Researchers at ETH Zurich have developed a robotic system utilizing AI and reinforcement learning to master the BRIO labyrinth game in just five hours of training data. The AI-powered robot’s success highlights the potential of advanced…

Understanding Diffusion Models in Generative AI Diffusion models are essential in generative AI, excelling in creating images, videos, and translating text to images. They work through two processes: 1. Forward Process: This process adds noise to…

SampleAttention: Practical Solution for LLMs Addressing Time-to-First-Token Latency Large language models (LLMs) with long context windows face prolonged Time-to-First-Token (TTFT) latency due to the quadratic complexity of standard attention. Existing solutions often compromise accuracy or require…

Neural networks, while effective approximators within a dataset, struggle with extrapolation. ReLU networks exhibit linear behavior far from the dataset, making them unsuitable for time series extrapolation. Sigmoid or tanh-based networks behave like constant functions away…