Google GLaM

Google GLaM

Efficient language model utilizing a mixture of experts approach.

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Google GLaM screenshot

GLaM is an advanced language model designed for high efficiency in learning tasks. It operates on a unique mixture of experts approach, which allows it to activate only a fraction of its parameters at once.

This reduces the need for extensive computational power while still delivering competitive results across various tasks.

6 trillion tokens, GLaM understands language from many perspectives. It excels in few-shot learning, enabling users to leverage AI capabilities without significant resource demands.

Applications include enhancing customer support chatbots, streamlining content generation, improving search engine accuracy, and supporting personalized learning experiences.



  • Enhance customer support chatbots
  • Streamline content generation
  • Automate translation tasks
  • Improve search engine accuracy
  • Assist in coding suggestions
  • Facilitate personalized learning experiences
  • Optimize document summarization
  • Aid in market trend analysis
  • Support medical diagnosis assistance
  • Boost engagement in educational tools
  • Reduces computational costs
  • Maintains high performance
  • Supports few-shot learning
  • Scales efficiently with data
  • Utilizes a vast dataset




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