2 articles tagged with #llm-development. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.
CoreWeave has secured a multi-year agreement with Anthropic to provide GPU infrastructure for running AI workloads. This partnership elevates CoreWeave's position to serving nine of the ten major large language model developers, reinforcing its dominance in the specialized AI compute market.
Researchers discovered that the traditional cross-entropy scaling law for large language models breaks down at very large scales because only one component (error-entropy) actually follows power-law scaling, while other components remain constant. This finding explains why model performance improvements become less predictable as models grow larger and establishes a new error-entropy scaling law for better understanding LLM development.
