Machine Learning models are becoming more prevalent, with 34% of companies already using ML for improved customer retention and revenue growth (IBM, 2022). The need for transparency in ML models, defined by terms like explainability and interpretability, is crucial for trust and accountability in decision-making processes, especially in industries like healthcare and criminal justice.
Learn how to test machine learning projects with Pytest and Pytest-cov. Guide focuses on BERT for text classification using industry standard libraries.
Generative models like NVIDIA's GauGAN are transforming AI with apps like ChatGPT. GANs use neural networks to create realistic images, inspiring creativity and productivity.
Big tech faces emissions challenges due to AI infrastructure growth, risking climate goals. Google struggles to reach net zero emissions target by 2030 amid uncertainty over AI impact.
Foreigners and expats can now easily manage multilingual emails with an AI calendar assistant using Amazon Bedrock and Step Functions. The workflow automates translation, setting reminders, and orchestrating tasks with serverless technology.
Prompt engineering is crucial for guiding generative AI models to produce desired outputs. Efficient prompts can lead to high-quality results, as demonstrated with Amazon Bedrock and Anthropic’s Claude 3 models.
Learn how to enhance your work quality by mastering sanity checks. Discover how to ensure your analysis makes sense and increase credibility. Explore different types of sanity checks and how to apply them effectively at work.
AI is not alien; it's part of humanity. Viewing robots as competitors overlooks the real issue of human value and treatment in the workforce.
LLMs are transforming healthcare marketing content creation, reducing generation time from weeks to hours with advanced AI assistance. AWS Generative AI Innovation Center developed a system leveraging LLM capabilities for disease awareness, ensuring accuracy and compliance through automated revision and fact-checking functionalities.
Google's climate goals at risk due to energy-hungry data centers powering AI products, emissions up 48% in 5 years. Data centers and supply chain emissions primary culprits, 2023 emissions up 13% from previous year.
Human Rights Watch discovered 190 photos of Australian kids used by AI tools without consent. Photos were part of the Laion-5B dataset, including images from Stable Diffusion and Midjourney.
PyTorch 2.0 introduced torch.compile for faster code execution. AWS optimized torch.compile for Graviton3 processors, resulting in significant performance improvements for NLP, CV, and recommendation models.
Organizations leverage generative AI for digital assistants using Retrieval Augmented Generation (RAG) over enterprise data. A serverless architecture with hybrid search enhances precision and coverage for user queries, optimizing costs and security.
Critical OpenSSH vulnerability CVE-2024-6387 allows attackers full control of Linux servers without authentication. Thousands of servers at risk for complete system takeover, data manipulation, and malware installation.
Labour party seeks assistance from engineering firms and consultancies for policy work. Over a dozen private sector lobbyists now embedded in shadow cabinet teams, focusing on complex areas like artificial intelligence (AI).