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Why enterprise RAG systems fail: Google study introduces ‘sufficient context’ solution
Google’s “sufficient context” helps refine RAG systems, reduce LLM hallucinations, and boost AI reliability for...
Why Educational Videos Are the Quiet MVP
(aka how teaching is the new flex) Continue reading on Medium »...
Why Educational Videos Are the Quiet MVP
(aka how teaching is the new flex) Continue reading on Medium »...
Why doctors should look for ways to prescribe hope
This week, I’ve been thinking about the powerful connection between mind and body. Some new...
Why Context Matters: Transforming AI Model Evaluation with Contextualized Queries
Language model users often ask questions without enough detail, making it hard to understand what...
Why and When to Use Sentence Embeddings Over Word Embeddings
Choosing the right text representation is a critical first step in any natural language processing...
Why AI predictions are so hard
This story originally appeared in The Algorithm, our weekly newsletter on AI. To get stories...
Why AI is making us lose our minds (and not in the way you’d think)
The question isn’t, “will you use AI?” The question is, “what kind of AI user...
Why 2026 is a hot year for lithium
In 2026, I’m going to be closely watching the price of lithium. If you’re not...
Who are climate-conscious consumers? Not who you’d expect, says Northwind Climate
Rather than divide people into demographic buckets, Northwind Climate analyzes survey responses for behavioral clues...
Which Questions Improve Learning the Most? Utility Estimation of Questions with LM-based Simulations
arXiv:2502.17383v2 Announce Type: replace Abstract: Asking good questions is critical for comprehension and learning, yet...
Which LLM should you use? Token Monster automatically combines multiple models and tools for you
This architecture lets Token Monster tap into a range of models from different providers without...
