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.