The paper discusses the emergence of text-to-image diffusion models for image generation. It introduces “AlignProp,” a method to align diffusion models with reward functions through backpropagation during the denoising process. AlignProp outperforms alternative methods in optimizing diffusion models, achieving higher rewards in fewer training steps and improving both sampling efficiency and computational effectiveness. The approach…
The US government plans to implement additional sanctions to prevent American chipmakers from circumventing export restrictions on AI chips going to China. The upcoming regulations will close loopholes that allowed Chinese companies to obtain specialized AI chips through foreign distributors. The new measures will also prohibit the sale of advanced chipmaking machinery and semiconductors to…
Ancient scrolls from Herculaneum, buried for centuries, have started to reveal their secrets. Using AI technology, a computer science student and a data science graduate have made breakthroughs in deciphering the charred papyrus. They have identified the word “porphyras” using different AI techniques. The competition to understand the Herculaneum scrolls is heating up, thanks to…
Veriff is an identity verification platform partner for organizations in various industries. They use advanced technology, including AI-powered automation and human feedback, to verify user identities. Veriff standardized their model deployment workflow using Amazon SageMaker, reducing costs and development time. They use SageMaker multi-model endpoints and Triton Inference Server to manage and deploy ML models…
This text discusses the significance of the hidden costs of development. It emphasizes the importance of recognizing and considering these costs in order to ensure accurate decision-making and successful project outcomes.
Researchers have developed a new framework using sparse autoencoders to make neural network models more understandable. The framework identifies interpretable features within the models, addressing the challenge of interpretability at the individual neuron level. The researchers conducted extensive analyses and experiments to validate the effectiveness of their approach, and they believe it can enhance safety…
Researchers have developed a method called SweetDreamer to address the issue of geometric inconsistency in converting 2D images to 3D objects for text-to-3D generation. This method aligns 2D geometric priors with well-defined 3D shapes to ensure consistency from all viewpoints. The researchers achieved high success rates compared to other methods and believe their work will…
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…