Google GLaM
Efficient language model utilizing a mixture of experts approach.
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
Advanced pre-training method for language models.
Automate tasks and create AI agents without coding.
No-code workflow automation for task management and customer support.
AI-driven content enhancer for customer support teams.
Client module to connect applications with AI capabilities.
Versatile AI for understanding and generating text.
Collaborative AI workspace for team productivity and efficiency.
Comprehensive support for managing Atlassian tools effortlessly.
Product info
- About pricing: No pricing info
- Main task: AI efficiency
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Target Audience
Data scientists AI researchers Software developers Educators Business analysts