Name entity recognition (NER) extracts entities from text, traditionally requiring fine-tuning. New large language models enable zero-shot NER, like Amazon Bedrock's LLMs, revolutionizing entity extraction.
80% of AI projects fail due to poor use cases or technical knowledge. Gen AI simplifies complexity, helping companies find valuable applications. "Paperclips & Friends" explores AI to tackle increasing customer support demands, highlighting the importance of measuring problem magnitude.
MIT researchers found that large language models can understand the visual world and generate complex scenes. By querying LLMs to self-correct code for images, they improved simple drawings and trained a vision system without using visual data.
Travel companies are integrating generative AI for virtual travel agents, enhancing customer experiences with personalized recommendations and efficient booking processes. Guardrails for Amazon Bedrock offer robust safeguards to mitigate risks and enable safe deployment of generative AI technologies, providing industry-leading safety protection and customization options for responsible AI pract...
Implementing k-means data clustering from scratch using JavaScript led to a simpler, more understandable version. The demo showcases encoding and normalizing data for the k-means algorithm in an engaging way.
AI Agent Capabilities Engineering Framework introduces a mental model for designing AI agents based on cognitive and behavioral sciences. The framework categorizes capabilities into Perceiving, Thinking, Doing, and Adapting, aiming to equip AI agents for complex tasks with human-like proficiency.
Runway introduces Gen-3 Alpha AI video synthesis model, rivaling OpenAI's Sora in quality and generating 10-second clips with improved consistency. Despite budget constraints, Runway impresses with visually stunning video creations from text prompts, showcasing significant advancements in visual fidelity.
AI is transforming drug discovery by helping scientists find cost-efficient molecules with desired properties. MIT's SPARROW algorithm streamlines synthesis planning, optimizing costs and experimental steps for new medicines, agrichemicals, and specialized materials.
Nvidia surpasses Microsoft and Apple to become world's most valuable company with $3.34tn market cap, driven by AI chip dominance. Shares soar as chipmaker overtakes Apple, solidifying position in tech market.
Meredith Whittaker, president of the Signal Foundation, leads the fight against surveillance and data sharing. Organized Google walkouts in 2018 to protest state surveillance and sexual misconduct.
Proton, the secure email suite, transitions to a nonprofit foundation led by CEO Andy Yen. Foundation includes Sir Tim Berners-Lee, aims to prioritize people over profits.
Automating resource management in large language model training optimizes efficiency, enabling focus on experimentation and innovation. AWS Trainium and AWS Batch integration offers scalable, cost-effective deep learning training with streamlined orchestration.
Explaining data normalization and encoding for machine learning algorithms, including Euclidean distance computation. Demonstrates manual and programmatic methods, showcasing a general normalize-and-encode program in C#.
Africa's potential in AI and green jobs shines, but global support is crucial, says Prof Patrick Verkooijen, new Chancellor of University of Nairobi. With vast natural resources and a young population, Africa's promise is undeniable as it heads towards being home to one in four people globally by 2050.
AI-powered blood test predicts Parkinson's 7 years early, improving treatment research. Test could be available in NHS labs in 2 years.