Artificial Intelligence
This article discusses the process of fine tuning language models for Named Entity Recognition. It can be found on Towards Data Science.
TRL (Transformer Reinforcement Learning) is a full-stack library that allows researchers to train transformer language models and stable diffusion models with reinforcement learning. It includes tools such as SFT (Supervised Fine-tuning), RM (Reward Modeling), and PPO (Proximal Policy Optimization). TRL improves the efficiency, adaptability, and robustness of transformer language models for tasks like text generation,…
Researchers at the Institute for Assured Autonomy propose advanced AI techniques and simulation environments to ensure safety in the expanding field of unmanned aircraft systems.
According to a new study, integrating AI into the business sector is proving to be lucrative. While business adoption has been slower than predicted, 71% of surveyed companies are implementing AI. AI projects are completed in less than a year, with businesses seeing an average return of $3.50 for every dollar spent on AI. Lack…
Elon Musk’s startup xAI will release its first AI products on November 4th to a select group. Musk claims that in “important respects,” xAI surpasses all existing AI. xAI aims to understand the true nature of the universe and collaborate with X, Tesla, and other entities. Its team includes researchers from companies like DeepMind and…
Microsoft researchers have introduced a novel framework called the “Large Search Model” (LSM) that aims to revolutionize online search engines. By combining multiple components, the LSM utilizes Large Language Models (LLMs) to improve search results. The model can be customized for different search tasks using natural language prompts and can adapt to specific situations. The…
Woodpecker is a new AI framework developed by Chinese researchers to address hallucinations in Multimodal Large Language Models (MLLMs). It offers a training-free alternative to mitigate inaccuracies in text descriptions generated by MLLMs. The framework consists of five stages, emphasizing transparency and interpretability. Woodpecker significantly improves accuracy and performance over baseline models in benchmark evaluations,…
The UK government plans to invest £225 million (or $273 million) to build its most powerful AI supercomputer, Isambard-AI. The supercomputer, named after Isambard Brunel, will be built by The University of Bristol with the help of Hewlett Packard. Isambard-AI will deliver over 200 petaFLOPS of double-precision performance and will be used in fields like…
During an “in conversation” event at the Business Connect Summit, UK Prime Minister Rishi Sunak and Tesla CEO Elon Musk discussed the future of artificial intelligence (AI) and its impact on society. Musk stated that AI could eliminate the need for human work, allowing people to choose work based on personal fulfillment. They also talked…
This week’s AI news roundup includes highlights such as the UK AI Safety Summit, the release of President Biden’s executive order on AI, the potential for unregulated AI development on the high seas, and Big Tech’s role in defining AI safety standards. Other topics covered are the Western-centric nature of AI datasets, the impact of…
NASA has released a ChatGPT SuperPrompt called BIDARA to guide engineers through the biomimicry design process. The process involves defining the problem, finding the equivalent challenge in nature, discovering natural models, abstracting design strategies, and emulating nature’s lessons. BIDARA is complemented by NASA’s open-source platform called PeTaL, which utilizes AI to explore biology for human…
UC San Diego researchers have developed a new framework called DYffusion for spatiotemporal forecasting using a diffusion model. The framework incorporates a temporal inductive bias to reduce learning times and memory requirements. It produces accurate probabilistic ensemble predictions for high-dimensional data and outperforms traditional Gaussian diffusion models. The researchers also compare the computational requirements and…
The Bundesliga has introduced a new metric called Shot Speed to provide insights into the velocity behind soccer shots. Shot speed is calculated using event data and optical tracking data to determine the maximum speed the ball reaches during its flight. This metric not only enhances our understanding of the game but also highlights memorable…
Google AI has introduced a new spoken language model called “Spectron” that processes spectrograms as both input and output. Spectrograms are visual representations of the spectrum of frequencies of a signal. The model uses pre-trained encoders and decoders to transcribe and generate text and speech continuations, improving the quality of synthesized speech. However, the model…
Apple researchers have introduced Matryoshka Diffusion Models (MDM), a family of diffusion models designed for high-resolution image and video synthesis. MDM utilizes a Nested UNet architecture in a multi-resolution diffusion process to process and produce images with varying levels of detail. The training plan progresses gradually to higher resolutions, demonstrating robust zero-shot generalization and high-quality…
This text discusses the installation and use of Rook Ceph as a replicated storage class for Kubernetes clusters. It provides step-by-step instructions on how to deploy Rook Ceph, create storage classes, deploy a file-sharing app, and test the resiliency of the storage solution. The article concludes by highlighting the scalability and reliability of Rook Ceph…
This article discusses the evolution of Large Language Models (LLMs) for code, from RNNs to Transformers. It covers the development of models like Code2Vec, CodeBERT, Codex, CodeT5, PLBART, and the latest model, Code Llama. These models have advanced code understanding and generation tasks, improving programming efficiency.
Researchers from Tsinghua University and Zhipu.AI have released an open-source bilingual language model called GLM-130B with 130B parameters. GLM-130B outperforms GPT-3 and PaLM on various benchmarks, achieving a zero-shot accuracy of 80.2% on LAMBADA. The researchers also shared their training process and experiences, highlighting their commitment to transparency in language model development.
According to an academic, Artificial Intelligence (AI) and algorithms have the potential to fuel racism, political instability, polarization, and radicalization. These technologies, which are not limited to national security agencies, can contribute to political violence and pose a threat to national security.
The HUB framework, developed by researchers from UC Berkeley and Stanford, addresses the challenge of integrating human feedback into reinforcement learning systems. It introduces a structured approach to teacher selection, actively querying teachers to enhance the accuracy of utility function estimation. The framework has shown promise in real-world domains such as paper recommendations and COVID-19…