Discover the advantages and key factors to consider when selecting a vector database for your application.
Researchers from the Universities of Edinburgh and Sheffield are creating an artificial neural network inspired by ants to assist robots in identifying and recalling paths in intricate natural surroundings.
The latest research from Brown University reveals that using low-resource languages (LRL) like Zulu or Scots Gaelic can cause GPT-4, an AI model, to produce unsafe responses, despite its alignment guardrails. When prompted in these languages, GPT-4 was more likely to provide illicit advice, with rates as high as 53%. This highlights the need for…
Ai Bloks has introduced LLMWare, an open-source library for developing enterprise applications based on Large Language Models (LLMs). The framework provides a unified development environment, wide model and platform support, scalability, and examples for developers of all levels. LLMWare can be accessed via GitHub and installed as a Python library. It aims to streamline the…
The article discusses the suitability of Large Language Models (LLMs) for generating Infrastructure as Code (IaC) to provision, configure, and deploy modern applications. It explores the benefits of IaC solutions and the risks of vendor locking. It also explains the capabilities of LLMs, with a focus on text generation. The article then presents a use…
Companies are exploring ways to incorporate AI solutions into their business operations as the technology becomes more widespread and intricate. Selecting the appropriate RLHF platform in 2023 is crucial for leveraging AI effectively in their journey of implementation.
The United States will introduce new rules to make it more difficult for China to obtain advanced chipsets for artificial intelligence (AI). These rules aim to prevent China from exploiting any remaining loopholes and limit the sale of graphics chips used in AI to Chinese companies. Companies will require a special license to send certain…
The SWE-bench evaluation framework, developed by researchers from Princeton University and the University of Chicago, focuses on assessing the ability of language models (LMs) to solve real-world software engineering challenges. The findings reveal that even advanced LMs struggle with complex tasks, emphasizing the need for further advancements in LM technology. The researchers propose expanding the…
Adobe showcased experimental generative AI tools for video and audio editing at its Adobe Max conference. Project Fast Fill allows editors to easily add or remove elements in video scenes using text prompts, while Project Scene Change enables composite scenes from videos shot at different angles. Project Dub Dub Dub automates the dubbing process, and…
NVIDIA Research has introduced SteerLM, a groundbreaking technique that enables users to customize the responses of large language models (LLMs). SteerLM simplifies the customization process through a four-step supervised fine-tuning process, allowing users to define key attributes that guide the model’s behavior. The standout feature of SteerLM is its real-time adjustability, which allows users to…
Google Quantum AI is conducting collaborative research to identify problems where quantum computers outperform classical ones and design practical quantum algorithms. Recent endeavors involve studying enzyme chemistry, exploring alternatives for lithium-ion batteries, and modeling materials for inertial confinement fusion experiments. While practical quantum computers are not yet available, this research informs the hardware specifications required…
Scientists at Zhejiang University have developed MindGPT, a non-invasive neural language decoder that can convert brain activity patterns produced by visual stimuli into well-formed word sequences. This technology has the potential to illuminate cross-modal semantic integration mechanisms and may be useful for brain-computer interfaces. MindGPT uses a language model called GPT-2 and a CLIP-guided fMRI…
The article introduces a novel method called Decaf, which captures face and hand interactions and facial deformations using monocular RGB videos. It addresses challenges such as depth ambiguity and lack of training datasets for non-rigid deformations. The method combines multiview capture and a position-based dynamics simulator to reconstruct the surface geometry. Neural networks are trained…
Researchers from Yale and Google have developed a groundbreaking solution called “HyperAttention” to address the computational challenges of processing long sequences in large language models. This algorithm efficiently approximates attention mechanisms, simplifying complex computations and achieving substantial speedups in inference and training. The approach leverages spectral guarantees, Hamming sorted LSH, and efficient sampling techniques, making…
This article explores the use of Python libraries for analyzing world country borders. It covers topics such as reading and loading GeoJSON data, calculating coordinates, creating a country border network graph, and visualizing the network. It also highlights three insights that can be derived from the network: examining borders of a chosen nation, identifying the…
Researchers have developed a new text-to-image generative model called PIXART-α that offers high-quality picture generation while reducing resource usage. They propose three main designs, including decomposition of the training plan and using cross-attention modules. Their model significantly lowers training costs and saves money compared to other models, making it more accessible for researchers and businesses.…
Google’s Search Generative Experience (SGE) now allows users to generate images from text prompts. The feature, launched in May, presents users with images based on their search queries. However, Google ensures that the tool adheres to its prohibited use policy by incorporating metadata and watermarks on the generated images. The tool is currently available only…
Months after its release, the romantic comedy “Prom Pact” on Disney platforms has received criticism for its use of AI-generated extras. A clip from the movie, featuring artificial characters cheering alongside real actors, has been widely mocked on social media. The use of AI in Hollywood is a contentious issue amid the ongoing SAG-AFTRA strike,…
Researchers have developed a NeRF-based mapping method called H2-Mapping to generate high-quality, dense maps in real-time applications. They propose a hierarchical hybrid representation that combines explicit octree SDF priors and implicit multiresolution hash encoding. The method outperforms existing NeRF-based methods in terms of accuracy and efficiency, even on edge computers.
The text provides a tutorial on transforming a llama into a giraffe. For further information, please refer to the article on Towards Data Science.