Dynamic execution in AI tasks can optimize performance by distinguishing between Hard and Easy problems. By identifying and addressing the complexity of data points, accuracy can be maintained while saving computational resources.
VBK, the largest Dutch publisher, to trial AI for translating books into English, acquired by Simon & Schuster. AI to assist in translation of commercial fiction, Vanessa van Hofwegen confirms.
Democratic secretaries of state seek social media companies' plans to moderate inflammatory content and AI during elections. Seven officials, including those from Maine and Washington, urge Google, X, and Meta to address the issue.
AI vs human in cryptic crossword challenge. Times' competition sets gold standard. AI named Ross competes on Crossword Genius app.
AI models, like LLaMA 3.1, require large GPU memory, hindering accessibility on consumer devices. Research on quantization offers a solution to reduce model size and enable local AI model running.
Es Devlin wins $100,000 Eugene McDermott Award at MIT for innovative art exploring biodiversity, AI poetry, and more. Devlin's residency includes a public lecture and collaboration with MIT's creative community.
Summary: Introducing a new GraphRAG approach for efficient commercial contract data extraction and Q&A agent building. Focus on targeted information extraction and knowledge graph organization enhances accuracy and performance, making it suitable for handling complex legal questions.
Thorsten Kleppe created a stunning visualization of the Pollen Dataset, showcasing its density and data distribution. The dataset contains 3,848 rows with predictors like "ridge" and "crack" to predict "density".
AI-generated summaries by Google and Microsoft are being used in search engines, but the accuracy and authority of the information are questioned. The debate over the carcinogenic properties of aspartame highlights the potential pitfalls of relying on AI for contentious topics.
Tech platforms like Meta and Google could be legally responsible for AI-generated content. Google Maps introduces new features with Gemini, raising concerns about defamation risks from user comments used in AI responses.
Generative AI is reshaping the art world, with humans still playing a crucial role in creating AI art. Rachel Ossip explores the intersection of technology and creativity in the evolving art landscape.
LLMs can now be run locally for enhanced privacy and control over model settings, with various sizes available. Quantization reduces memory usage, while local implementations prove cost-effective compared to cloud-based solutions.
Evaluating AI-generated outputs of large language models is crucial for building robust applications, with supervised and unsupervised methods available. Self-evaluation and iterative self-reflection can improve the quality of generative models, reducing the need for human involvement in evaluations.
Retrieval-Augmented Generation (RAG) combines real-time data retrieval with language models, enhancing precision and relevance. RAG reduces hallucinations by incorporating external data, making AI systems more adaptable and reliable.
Multimodal data in business documents requires efficient semantic search using embedding models for improved productivity and customer experience. Unifying text and image data for natural language queries enhances knowledge management and decision-making in various business applications.