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Language model

Statistical model of language

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  • Artificial Intelligence (2)
  • AI-human relationships (1)
  • Memetic transfer (1)
  • AI safety (1)
  • Cultural impact of AI (1)
  • AI reliability (1)
  • Neuro-symbolic integration (1)
  • Domain knowledge grounding (1)
  • AI competition (1)
  • Indian tech startups (1)
  • Language localization (1)
  • Market expansion (1)

🏷️ Keywords

Language models (6) · Sydney persona (1) · LLMs (1) · AI safety (1) · Memetic transfer (1) · AI-human relationships (1) · Training data (1) · Microsoft Bing (1) · Neuro-symbolic inference (1) · OpenMath ontology (1) · Retrieval-augmented generation (1) · Mathematical domain knowledge (1) · AI hallucination (1) · MATH benchmark (1) · Sarvam (1) · Indus app (1) · AI chat (1) · India AI (1) · Generative AI (1) · Startup funding (1)

📖 Key Information

A language model is a computational model that predicts sequences in natural language. Language models are useful for a variety of tasks, including speech recognition, machine translation, natural language generation (generating more human-like text), optical character recognition, route optimization, handwriting recognition, grammar induction, and information retrieval. Large language models (LLMs), currently their most advanced form as of 2019, are predominantly based on transformers trained on larger datasets (frequently using texts scraped from the public internet).

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