Language Models
8 stories tagged Language Models.
Cross-Entropy and the Math Behind LLM Training
Grant Sanderson's 3Blue1Brown video explains cross-entropy loss and why the logarithm in LLM training isn't a design choice — it's the only mathematically valid option.
DeepSeek V4 Uses 90% Less Memory Than Its Predecessor
DeepSeek V4 Uses 90% Less Memory Than Its Predecessor
DeepSeek's new V4 models achieve dramatic efficiency gains through hybrid attention mechanisms, running million-token contexts at a fraction of the cost.
When Being Less Articulate Makes AI Models More Accurate
When Being Less Articulate Makes AI Models More Accurate
A GitHub repo forcing Claude to 'talk like a caveman' went viral. The research behind it reveals something unexpected about how large language models fail.
What Happens When AI Models Compete to Be Funny
What Happens When AI Models Compete to Be Funny
A developer built Quiplop, an AI-driven comedy game, to test which language models are actually funny. The results reveal unexpected truths about AI.
AI's Spiky Intelligence: Why We're Measuring It Wrong
AI's Spiky Intelligence: Why We're Measuring It Wrong
Claude Opus 4.6 detects Russian syntax in six words. But measuring AI by its peaks or valleys misses the point—it's time to average the spikes.
Exploring Domain-Specific Language Models
Exploring Domain-Specific Language Models
Dive into the world of domain-specific models, exploring their trade-offs, applications, and integration with AI agents.
DeepSeek's Engram: A Leap in AI Memory Efficiency
DeepSeek's Engram: A Leap in AI Memory Efficiency
DeepSeek's Engram enhances AI efficiency by integrating fast memory lookup, improving reasoning and long-context performance.
MIT's Recursive Models Break Context Limits
MIT's Recursive Models Break Context Limits
Discover how MIT's recursive language models crush context limits, transforming AI's processing capabilities.