Midjourney’s latest AI version, V5, is gaining attention for its ability to generate realistic images from text prompts. To enable V5 in Midjourney, follow these steps: 1) Open Midjourney on Discord and navigate to the “Newcomer Rooms” section, 2) Type the command “/settings” to access personal settings, 3) Select the V5 engine version to activate…

Slope TransFormer is a new solution developed to understand bank transactions. Traditional methods struggle with the variety of transaction forms, while existing solutions have limitations. TransFormer overcomes these challenges by being a Large Language Model (LLM) fine-tuned to extract meaning from transactions, achieving remarkable speed and accuracy. Its deployment in live credit monitoring dashboards is…

Anthropic has launched Claude 2.1, an AI model that addresses common issues. With a 200,000-token context window, it can recall information from extensive documents, reducing the risk of incorrect responses. The model also allows the use of external tools, broadening its applications. System prompts enable users to set specific contexts for consistent responses. While there…

Large multimodal models like LLaVA, MiniGPT4, mPLUG-Owl, and Qwen-VL have made rapid progress in handling and analyzing various types of data. However, there are obstacles to overcome, such as dealing with complex scenarios and the need for higher-quality training data. In response, researchers from Huazhong University of Science and Technology and Kingsoft have developed a…

LEO is a generalized agent developed by researchers at the Beijing Institute for General Artificial Intelligence, CMU, Peking University, and Tsinghua University. It is trained in an LLM-based architecture and is capable of perceiving, reasoning, planning, and acting in complex 3D environments. LEO incorporates 3D vision-language alignment and action, and has demonstrated proficiency in tasks…

The article on Towards Data Science explains the usage and benefits of typing.Literal, which allows for the creation of literal types. It highlights the power and versatility of this feature.

This article provides a guide on how to effectively use the cloud for all stages of the data science workflow. It offers valuable insights for implementing cloud technology in data science projects.

Researchers at Microsoft have proposed a deep learning compiler called Permutation Invariant Transformation (PIT) to optimize models for dynamic sparsity. PIT leverages a mathematically proven property to consolidate sparsely located micro-tiles into dense tiles without changing computation results. The solution accelerates dynamic sparsity computation by up to 5.9 times compared to state-of-the-art compilers and offers…

Researchers from McMaster University and FAIR Meta have developed a new machine learning technique called orbital-free density functional theory (OF-DFT) for accurately replicating electronic density in chemical systems. The method utilizes a normalizing flow ansatz to optimize the total energy function and solve complex problems. This approach shows promise for accurately describing electronic density and…

Lookahead decoding is a novel technique that improves the speed and efficiency of autoregressive decoding in large language models (LLMs) like GPT-4 and LLaMA. It eliminates the need for preliminary models and reduces the number of decoding steps by utilizing parallel processing. The technique has been shown to significantly decrease latency in LLM applications like…