Evals are critical in understanding AI model performance. Product managers should lead eval design to align model goals with user experience.
Google research: 31% of jobs insulated, 61% transformed by AI. Two-thirds of British jobs could be 'enhanced' with AI, only a small portion at risk.
Businesses are investing in data science teams to leverage ML systems for better outcomes. MLOps applies DevOps principles to continuously operate large-scale ML systems for improved collaboration and automation.
Google DeepMind's AI systems AlphaProof and AlphaGeometry 2 impressed by solving four IMO problems, almost reaching gold medal level. AlphaProof uses reinforcement learning in Lean, while AlphaGeometry 2 is an upgraded geometry-solving model powered by Gemini.
AI tools revolutionize weather forecasting by analyzing data patterns over years for accurate and faster predictions. Traditional methods rely on complex equations and grid replication of the atmosphere, while AI forecasts focus on long-term data analysis.
Runway's Gen-3 Alpha text-to-video synthesis model creates HD clips from prompts. It excels at mixing concepts but struggles with generalization beyond training data.
MIT engineers have identified new materials for fast proton conduction, essential for clean energy technologies like fuel cells. Current high-temperature inorganic materials may be replaced by lower-temperature alternatives for more efficient and durable applications.
Protecting personally identifiable information (PII) is crucial for consumer trust. Amazon Lex and CloudWatch offer solutions to detect and mask sensitive data, reducing the risk of exposure in logs and transcripts.
AI and accelerated computing by NVIDIA are enhancing energy efficiency across industries, recognized by Lisbon Council Research. Transitioning to GPU-accelerated systems can save over 40 terawatt-hours of energy annually, with real-world examples like Murex and Wistron showcasing significant gains in energy consumption and productivity.
Meta introduces Llama 3.1 405B AI model, claiming it competes with OpenAI and Anthropic in various tasks. The new open-source system is set to challenge established competitors in the AI field.
MIT CSAIL researchers developed MAIA, an automated agent that interprets AI vision models, labels components, cleans classifiers, and detects biases. MAIA's flexibility allows it to answer various interpretability queries and design experiments on the fly.
Researchers from MIT and ETH Zurich developed an AI model to identify different stages of DCIS from breast tissue images, potentially streamlining diagnosis and treatment. By analyzing the spatial organization of cells, the model could help clinicians predict which DCIS cases may progress to invasive cancer, paving the way for more efficient and personalized care.
Real-time water quality monitors with AI help assess immediate risk of illness from bacteria in southern England's swimming spots. Wessex Water's sensors accurately predict high bacteria levels 87% of the time at pilot study site Warleigh Weir.
Master Cargo.toml formatting rules to avoid frustration. Rust's consistency compared to JavaScript, with surprises in Cargo.toml explained in 9 wats and wat nots.
Llama 3.1's multilingual LLMs, available on Amazon SageMaker JumpStart, offer optimized generative AI models for developers and businesses. SageMaker JumpStart provides access to pre-trained foundation models, allowing for customization and secure deployment in a dedicated VPC environment.