Gopher
Gopher by DeepMind is a 280 billion parameter language model.
- Free plan available
- No credit card
What is Gopher?
Key features
280 billion parameter architecture
scales language understanding across diverse tasks
Retrieval integration
incorporates external information sources to improve factual accuracy
Ethical framework
built with consideration for responsible AI deployment and bias mitigation
Multi-task performance
handles question answering, summarisation, reasoning, and creative writing
Research focused
designed to study scaling laws and model behaviour at large parameter counts
Pros & cons
Advantages
- Demonstrates strong performance across a broad range of language tasks
- Retrieval mechanisms help reduce factually incorrect outputs compared to standard language models
- Developed with explicit attention to ethical considerations and potential harms
- Transparent research focus provides insights useful to the wider AI community
Limitations
- Access appears limited to research contexts rather than general public availability
- Large model size creates significant computational requirements for deployment
- Specific pricing and availability details are not clearly documented
Use cases
Natural language research and understanding how language models scale
Developing more factually grounded AI systems through retrieval augmentation
Studying ethical considerations in large language model deployment
Question answering and information retrieval tasks in research settings
Evaluating model performance on reasoning and creative tasks
Ready to try Gopher?
Pricing
Research Access
Free (limited)
Access for research purposes; specific availability depends on DeepMind's current research programmes
Get started with Gopher
Click through to Gopher and start using it now.
- Free plan available
- No credit card