Differential privacy (DP) in machine learning safeguards individuals’ data privacy by ensuring model outputs are not influenced by individual data. Google researchers introduced an auditing scheme for assessing privacy guarantees, emphasizing the connection between DP and statistical generalization. The scheme offers quantifiable privacy guarantees with reduced computational costs, suitable for various DP algorithms. [49 words]

MIT researchers have found that modern computational models derived from machine learning are approaching the goal of mimicking the human auditory system. The study, led by Josh McDermott, emphasizes the importance of training these models with auditory input, including background noise, to closely match the activation patterns of the human auditory cortex. The research aims…

Oxford University encourages Economics and Management students to use AI tools like ChatGPT for essay drafting, emphasizing the need for critical thinking and fact-checking. Educators express concerns about AI’s potential influence and students’ tendency to use it regardless of guidelines. The university cautiously embraces AI, recognizing its growing relevance while also setting clear boundaries for…

Mistral AI introduces the Mixtral 8x7b language model, revolutionizing the domain with its unique architecture featuring a sparse Mixture of Expert (MoE) layer. Boasting 8 expert models within a single framework, it demonstrates exceptional performance and a remarkable context capacity of 32,000 tokens. Mixtral 8x7b’s versatile multilingual fluency, extensive parameter count, and performance across diverse…

Large Language Models (LLMs) are powerful in language tasks but struggle with high-quality human data. A study proposes a self-training technique, ReST𝐃𝑀, using model-generated synthetic data, which enhances language models’ performance. ReST𝐃𝑀 improves math and code generation skills significantly, surpassing the effectiveness of human-provided data but risks overfitting after multiple cycles. The study is credited…

Google recently unveiled Duet AI for Developers, an AI-powered coding tool, and AI Studio for Gemini API development. Duet AI streamlines coding and integrates with Google’s services, facilitating a smoother coding experience. Additionally, AI Studio offers a user-friendly platform for developing apps and chatbots with Gemini model APIs. Both tools demonstrate Google’s commitment to AI…

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…