Artificial Intelligence
This post outlines a solution for using Amazon Transcribe and Amazon Bedrock to automatically generate concise summaries of video or audio recordings. By leveraging a combination of speech-to-text capability and generative AI models, the solution aims to simplify and automate the note-taking process, enhancing collaboration and saving time. The post provides instructions for deploying, running,…
This post showcases fine-tuning a large language model (LLM) using Parameter-Efficient Fine-Tuning (PEFT) and deploying the fine-tuned model on AWS Inferentia2. It discusses using the AWS Neuron SDK to access the device and deploying the model with DJLServing. It also details the necessary steps, including prerequisites, a walkthrough for fine-tuning the LLM, and hosting it…
The text describes the importance of Machine Learning Operations (MLOps) in integrating ML models into production systems. It explains Amazon SageMaker MLOps features like Projects, Pipelines, and Model Registry. The process of creating a custom project template for CI/CD pipelines using AWS services and GitHub is detailed, along with a summary of the implementation.
Axel Springer is the first global publishing house to collaborate with us on deepening the integration of journalism in AI technologies.
Snapchat has introduced a new feature for its Plus subscribers, allowing them to create AI-generated snaps. This update, available to $3.99 plan users, offers innovative ways to generate and edit images. Additionally, subscribers can access AI selfie features and extend photo backgrounds. These enhancements demonstrate Snapchat’s commitment to integrating AI into its platform.
LimeWire, known for music piracy in the early 2000s, shut down in 2010 due to copyright violations. Now, it’s returned as an AI music generation platform. It allows users to create music and images and enables them to share in the ad revenue in $LMWR crypto token. However, its controversial history raises concerns about its…
Diffusion models are successfully used in text-to-picture production, with unCLIP models gaining attention. While unCLIP models surpass other models in composition benchmarks, they require more parameters and training data. Arizona State University introduces ECLIPSE, a contrastive learning technique, enabling efficient training with fewer parameters, improving text-to-image models. This innovative approach shows promising results.
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.
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…