Start with the problem, not the solution. Avoid forcing chatbot solutions onto problems, focus on business processes first.
Major news organizations in Canada are suing OpenAI for allegedly using their articles to train ChatGPT without permission. The lawsuit seeks punitive damages and a share of profits, demanding an injunction against future use of the articles.
Open Food Facts uses Machine Learning to enhance its food database by reducing unrecognized ingredients, improving data accuracy. The project showcases the success of creating a custom model, outperforming existing solutions by 11%.
May loses her job to humanoid robots, undergoes experimental facial injection to evade them. Family copes with polluted environment, device addiction in a dystopian world.
Dogs prefer to poop facing North-South. Learn how to measure this at home using a compass app and Bayesian statistics. Researcher replicates study with own dog, capturing over 150 "alignment sessions."
Agentic AI combines specialized agents for enhanced capabilities. Major players like Microsoft and Google are investing heavily in agentic AI research.
Whitehall departments lack transparency in AI use. Concerns arise as AI affects millions of lives, with examples in DWP and Home Office.
LLMs.txt is a new web standard optimized for reasoning engines, gaining rapid adoption thanks to Mintlify's support. Co-founder Jeremy Howard proposed LLMs.txt to help AI systems understand website content more efficiently.
Senate recommends standalone AI legislation & protections for creative workers. Amazon, Google, Meta criticized for vagueness on Australian data use in AI training.
Optimizing LLM-based applications with a serverless read-through caching blueprint for efficient AI solutions. Utilizing Amazon OpenSearch Serverless and Amazon Bedrock to enhance response times with semantic cache for personalized prompts and reducing cache collisions.
Quantization limits are being pushed with ft-Quantization, a new approach to address current algorithm limitations. This memory-saving technique compresses models and vectors for retrieval, popular in LLMs and vector databases.
Datadog's integration with AWS Neuron optimizes ML workloads on Trainium and Inferentia instances, ensuring high performance and real-time monitoring. The Neuron SDK integration offers deep observability into model execution, latency, and resource utilization, empowering efficient training and inference.
AI technology like Amazon Bedrock allows for complex stock technical analysis queries to be answered efficiently, transforming natural language requests into actionable data using generative AI agents. With Amazon Bedrock, users can build and scale AI applications securely, leveraging high-performing foundation models from leading AI companies through a single API.
Spines startup faces backlash for using AI to edit and distribute books for $1,200-$5,000. Critics question quality and impact on traditional publishing.
Rad AI's flagship product, Rad AI Impressions, uses LLMs to automate radiology reports, saving time and reducing errors. Their AI models generate impressions for millions of studies monthly, benefiting thousands of radiologists nationwide.