Cerebras introduces gigaGPT, a novel solution for training large transformer models. It simplifies the process by providing a concise codebase and eliminates the need for intricate parallelization techniques. Leveraging Cerebras hardware, gigaGPT can train GPT-3-sized models with billions of parameters and potentially exceeding 1 trillion parameters, marking a significant leap in large-scale AI model training.
Some ChatGPT users have noticed it being less responsive and offering shorter explanations. OpenAI acknowledges the issue and is investigating. There are speculations that ChatGPT’s behavior is influenced by seasonal changes, with experiment results showing shorter responses with a December date. However, not all researchers agree, awaiting OpenAI’s feedback. (49 words)
AI is transforming workplace creativity, analysis, and decision-making, offering a significant opportunity for business expansion. Various applications, including automation, predictive analytics, and content development, are available to aid young businesses in improving productivity and growth. AI tools like Pecan AI, GitHub Copilot, and Grammarly are instrumental in boosting efficiency and effectiveness across diverse business activities.
A list of 40+ AI tools, including DeepSwap for deepfake creation, Aragon for professional headshots, and AdCreative.ai for high-converting ad creation. Notion AI offers generative AI, Otter.ai provides real-time meeting transcriptions, and other tools cater to diverse needs, from legal advice to music creation. These tools aim to simplify various tasks through AI technology.
Together AI has revolutionized sequence modeling architectures with the introduction of StripedHyena models, offering a computational efficient alternative to conventional Transformers. The release includes SH 7B and SH-N 7B models, showcasing improved speed, memory efficiency, and outperforming existing alternatives. The aim is to further enhance the model’s capabilities and incorporate multi-modal support for expanded applications.
Large Language Models (LLMs) like GPT, BERT, PaLM, and LLaMA have advanced Natural Language Processing and Generation. They excel at various tasks, but there’s growing interest in their application to graph-based tasks. Research explores integrating LLMs with graphs, proposing classification of scenarios, evaluating models, curating materials, and suggesting future research directions. Read more at the…
Researchers from various institutions have introduced HyperDreamer, a framework that can create detailed 3D content from a single 2D image. The study discusses existing 3D generation methods and emphasizes the need for advanced content creation. HyperDreamer integrates custom super-resolution, semantic-aware albedo regularization, and interactive editing, paving the way for hyper-realistic 3D content generation and editing.
Stanford University researchers developed an AI framework to enhance the interpretability and generative capabilities of visual concepts. The framework leverages language-informed concept axes, training concept encoders aligned with textual embeddings. It outperforms text-based methods, generating novel visual compositions and emphasizing efficiency in image generation. The study recommends larger and diverse training datasets for further improvements.
Researchers from MIT and the Chinese University of Hong Kong have developed a technique called neural lithography, using real-world data to build a photolithography simulator that can more accurately model the manufacturing process of optical devices. This approach could lead to the creation of more efficient optical devices for various applications.
Generative AI models like ChatGPT, Google Bard, and Microsoft’s GPT have transformed AI interaction, impacting various domains. However, their rapid evolution presents ethical concerns, privacy risks, and vulnerabilities. A recent paper examines cybersecurity implications, uncovering potential risks and exploring defense techniques utilizing GenAI. While offering promise in threat detection, these models also pose substantial ethical,…
EAGLE, a novel method for efficient LLM decoding, offers a groundbreaking approach to accelerate text generation. Developed by researchers from Vector Institute, University of Waterloo, and Peking University, EAGLE leverages feature-level extrapolation to achieve impressive speed gains, surpassing vanilla, Lookahead, and Medusa methods. Its compatibility with standard GPUs widens its accessibility and usability.
Physician-investigators compared a chatbot’s reasoning to human clinicians and found that artificial intelligence could be a valuable tool for clinical decision support.
AI design conference offering 4 comprehensive UX training courses for professionals, emphasizing long-lasting skills. Scheduled for March 4-7, 2024 in Asia/AU and March 3-6, 2024 in the Americas. For full schedule and pricing, visit the website.
New AI paper introduces HiFi4G, a compact 4D Gaussian representation combining nonrigid tracking with Gaussian Splatting for realistic human performance rendering. The study’s dual-graph approach efficiently recovers spatially-temporally consistent 4D Gaussians with a complementary compression method, enabling immersive human performance experiences across various platforms. The research is a breakthrough in photo-real human modeling and efficient…
Mistral AI unveiled the MoE 8x7B, a language model likened to a scaled-down GPT-4 with 8 experts and 7 billion parameters, showcasing a more efficient architecture. Renowned in the AI community, it’s known for milestone achievements and a $118 million seed round. MoE 8x7B holds promise in revolutionizing language models and attracting attention through unconventional…
Mistral AI, a French startup, challenges Big Tech with its open-source language models, gaining attention and respect despite limited resources. Its Mixtral model competes with Meta and OpenAI, causing industry experts to reassess its potential. However, concerns arise over the impact of the EU AI Act on Mistral and other European AI companies, potentially hindering…
The rise of ChatGPT and generative AI’s popularity on AWS has sparked interest in leveraging this technology for creating enterprise chatbots. By deploying a solution known as Chat Studio, users can engage with foundation models available in Amazon SageMaker, such as Llama 2 and Stable Diffusion, through a web interface. Additional integrations and deployment options…
Greek mathematician Euclid, known as the father of geometry, revolutionized the understanding of shapes over 2,000 years ago. Today, MIT professor Justin Solomon applies modern geometric techniques to diverse problems, from machine-learning model testing to medical imaging and generative AI. He fosters diversity in geometric research and aims to improve unsupervised machine learning models.
The text discusses the rapid adoption of large language models (LLMs), such as GPT NeoX and Pythia, on AWS Trainium for training and fine-tuning. It highlights their performance, training steps, cost analysis, and comparisons to Nvidia A100 GPU. The authors’ expertise and roles are also outlined, showcasing their contributions to AI and deep learning.
Vodafone is transitioning to a technology company by 2025, aiming to have 50% of its workforce involved in software development. They are partnering with Accenture and AWS to build a cloud platform and develop ML skills through the AWS DeepRacer challenge, with the goal of improving customer satisfaction and digital services. The initiative has seen…