Retrieval augmented generation (RAG) combines information retrieval & language generation for accurate responses. RAG techniques are diverse, tailored to specific challenges & use cases, evolving beyond a one-size-fits-all approach.
Meta, owner of Facebook, unveils Movie Gen AI model for creating realistic video and audio clips to rival competitors. Samples show animals swimming, people painting using their real photos in the clips.
Agents simulating human actions paired with Amazon Titan models create personalized, multimodal fashion experiences. Customers can interact in natural language, receive outfit recommendations, and generate visual inspirations seamlessly.
Computer scientist Julian Shun designs graph algorithms to analyze invisible connections efficiently, revolutionizing online recommendation systems. Shun's user-friendly frameworks leverage parallel computing for rapid analysis of massive networks, enhancing search engines and fraud detection.
GeForce NOW unveils 22 new games for October, including THRONE AND LIBERTY. Members can enjoy immersive role-playing and action titles in the cloud.
Climate Central warns US sea levels could rise 12in by 2050 due to warming. AI predicts frequent floods if current pace continues.
Aviva, a top insurance company, implements a serverless MLOps platform with AWS and Amazon SageMaker to streamline ML model deployment and monitoring. By automating ML processes, Aviva aims to enhance customer experience and handle increasing claim volumes efficiently.
California police departments are utilizing AI tools to assist in report drafting. Experts are concerned about potential implications.
Amazon Bedrock Guardrails offer customized safeguards for generative AI models, addressing challenges like toxic content and PII protection. Developers can implement multiple guardrails tailored to different use cases, ensuring consistent safety controls across various foundation models.
AdaBoost training is deterministic, unaffected by data order. Results remain identical, a rarity in ML algorithms.
Meta's Data for Good program is open-sourcing AI-powered population maps on GitHub, aiding climate adaptation and disaster response projects worldwide. By providing training data and code, Meta hopes to improve global disaster preparedness and climate adaptation efforts through accurate population estimates.
A framework helps balance LLM creativity and risk in application architecture, optimizing complexity, cost, and latency. Decision criteria of risk and creativity guide selection of GenAI application architecture, emphasizing the importance of finding the right balance for each use case.
Training computer vision models with Ultralytics' YOLOv8 is now easier using Python, CLI, or Google Colab. YOLOv8 is known for accuracy, speed, and flexibility, offering local-based or cloud-based training options, such as Google Colab for enhanced computation power.
OpenAI, creator of ChatGPT, now valued at $157bn, secures $6.6bn in funding from investors like Nvidia and SoftBank. Startup plans to transition to a for-profit model, led by Thrive Capital in latest funding round.
Next AI summit to prioritize environment impact and job implications, potentially ranking greenest AI firms. Proposal includes rating AI companies based on ecological footprint and expanding global AI governance initiatives.