News

How Better Data Annotation Improves AI Model Performance
Better data annotation—more accurate, detailed or contextually rich—can drastically improve an AI system’s performance, ...
Mistral launches new code embedding model that outperforms OpenAI and Cohere in real-world retrieval tasks
Mistral's Codestral Embed will help make RAG use cases faster and find duplicate code segments using natural language.
Model Context Protocol (MCP) Explained : The New Framework Transforming AI Capabilities
Model Context Protocol (MCP) is redefining AI by enabling real-time tool integration, solving knowledge staleness, and ...
How S&P is using deep web scraping, ensemble learning and Snowflake architecture to collect 5X more data on SMEs
The investing world has a significant problem when it comes to data about small and medium-sized enterprises (SMEs). This has nothing to do with data quality or accuracy — it’ ...
The Lancet1d
Importance of sample size on the quality and utility of AI-based prediction models for healthcare
Rigorous study design and analytical standards are required to generate reliable findings in healthcare from artificial intelligence (AI) research. One crucial but often overlooked aspect is the ...
GitHub9d
Large Language Diffusion Models
from transformers import AutoModel, AutoTokenizer tokenizer = AutoTokenizer.from_pretrained('GSAI-ML/LLaDA-8B-Base', trust_remote_code=True) model = AutoModel.from ...