Generative AI, especially Retrieval Augmented Generation (RAG), is transforming industries by providing personalized experiences through external knowledge sources. RAG applications on Amazon SageMaker JumpStart using Facebook AI Similarity Search (FAISS) optimize generative AI output with cost benefits and quicker iteration.
Learn to chat with images using Llama 3.2-Vision, a cutting-edge multimodal LLM by Meta. Explore its OCR and reasoning skills on Colab notebook for local execution.
Generative AI drives innovation, transforming industries and generating $1.3 trillion revenue by 2032. NVIDIA VP Ian Buck predicts 5x performance increase and cost reduction with new hardware innovations for AI inference.
AWS emphasizes responsible AI, boosting business value through trust and innovation. ISO/IEC 42001 certification and Amazon Bedrock Guardrails enhance transparency and safety in AI services.
Trump nominates David Sacks, ex-PayPal COO, as White House AI and crypto czar, rewarding big donors with political power. Sacks, a Silicon Valley insider, hosted a fundraiser that brought in over $12m for the Trump campaign.
Amazon Bedrock Model Distillation enables high accuracy with smaller, cost-efficient AI models by transferring knowledge from advanced models. This feature automates the process, providing efficiency, cost optimization, and advanced customization for various use cases.
Steven Moffat and Russell T Davies caution against excessive use of AI in creative industries, fearing diminishing quality. Doctor Who Christmas special on BBC1 remains a highly anticipated event for fans.
Report warns AI boom will benefit tech giants, but creators face income loss without policy intervention. Music sector to lose 25% income, audiovisual sector over 20% as generative AI market grows to €64bn by 2028.
MIT made a significant impact at COP16 by showcasing biodiversity research and engaging in key discussions on global goals. The ESI's NCS Program supported Latin American city coalitions in advancing KMGBF targets through multi-scale actions and community-based conservation efforts.
Customer profiling is evolving with vector-based exemplar recommenders like Pinterest's Pinnersage engine, offering tailored user choices. These algorithms simplify recommendations by converting samples into vectors, improving user engagement.
MIT researchers developed a technique called Score Distillation to create high-quality 3D shapes from 2D image generation models, improving realism without costly retraining. This breakthrough enhances the potential for AI to assist designers in creating lifelike 3D models, presented at the Conference on Neural Information Processing Systems.
Build a general-purpose LLM agent for diverse use cases. Choose the right model and define control logic for optimal performance and adaptability.
MIT engineers have released DrivAerNet++, a dataset of 8,000 car designs for AI to improve car aerodynamics rapidly, cutting R&D costs. The dataset could lead to more fuel-efficient cars and longer-range electric vehicles, accelerating automotive innovation for a sustainable future.
Google DeepMind's AI program GenCast outperformed ECMWF's ENS forecast, predicting weather and hurricane paths 20% more accurately. GenCast offers faster, more precise day-to-day weather forecasts, a promising development for weather monitoring.
Google's London office exudes a startup vibe, as managing director Debbie Weinstein explores AI's commercial potential amid US antitrust issues.