AI-powered chatbot, Ed, failed to revolutionize education; highlights challenges in transforming public services with artificial intelligence. Columnist Gaby Hinsliff questions the government's belief in doing more with less through AI.
Compress LLMs 10X without performance loss. Techniques like quantization, pruning, and knowledge distillation make powerful ML models more accessible.
Nvidia's revenue doubles to £23bn, but concerns arise over AI chip delays. Investors spooked by slowing growth signals.
News publishers face challenges in providing personalized content due to the short shelf life of news articles. Amazon Bedrock combines text embeddings with Amazon Personalize to recommend articles in real-time, improving user experience and engagement.
Starmer hints at tax rises, plans cuts in public expenditure, drawing comparisons to failed policies of George Osborne. Calls for a new Beveridge Mark 2 to bring hope after 14 years of brokenness.
MIT researchers develop algorithm to solve nonlinear parabolic PDEs in computer graphics. New approach simplifies complex problems into three steps for better shape analysis.
Southeast England water company rejects proposed cuts, deeming plan 'uninvestible'. Polestar appoints new CEO, continues global expansion in electric vehicle market.
Guardian journalist Michael Safi delves into AI's societal impact, exploring both dangers and promises. AI aids cancer detection in Montana and Massachusetts, showing potential for positive change.
NVIDIA RTX AI Toolkit enables developers to fine-tune models for improved performance using LoRA, boosting speeds by up to 6x. Customizing LLMs with LoRA adapters allows for tailored outputs, such as generating dialogue in specific styles or voices simultaneously for various applications.
Nvidia, third most valuable company, sees revenue surge to $30.04bn, driven by rising AI demand. Despite exceeding expectations, shares drop 3% in after-hours trading.
RAG combines retrieval & generative models for QA systems. Automate end-to-end RAG deployment using AWS CDK & Amazon Bedrock.
GPT-4o and LATS merge to enhance LLM decision-making, revolutionizing problem-solving with advanced reasoning capabilities. Meta-generation algorithms amplify computational resources during inference, mimicking higher-level cognitive processes for improved model performance.
AWS DeepRacer: Learn to bridge the sim2real gap by mastering the physical track. Understand how the car's camera sensor uses grayscale images to navigate based on pixel values.
Top LLMs tested for structured output: Google Gemini Pro, Anthropic Claude, OpenAI GPT. OpenAI leads with direct integration for JSONs. Anthropic requires 'tool call' trick, Google Gemini is cumbersome.
Incorporating AI like Amazon Q Developer can boost dev productivity by 30%. Amazon Q Business enhances enterprise operations with generative AI.