Key Features
280 Billion Parameters
Gopher is a transformer language model with an extensive parameter count, enhancing its ability to process and generate complex text.
MMLU Benchmark Performance
Gopher outperforms prior models in the Massive Multitask Language Understanding benchmark, showing significant progress towards human-level performance.
Ethical Risk Analysis
The research includes a detailed taxonomy of ethical and social risks, providing insights into potential harms and mitigation strategies.
Efficient Training Architecture
RETRO, an improved architecture, reduces training energy costs and enables source tracing for model outputs.
Who should NOT use DeepMind Gopher
- Requires expert knowledge for analysis
- No direct deployment support
- Limited to research and evaluation use cases
Frequently Asked Questions
What is Gopher?
Gopher is a 280 billion parameter transformer language model developed by DeepMind to enhance AI capabilities in language understanding and generation.
What are the key features of Gopher?
Gopher excels in tasks like reading comprehension and fact-checking, and it's used to study ethical and social risks in large language models.
Is Gopher open-source?
No, Gopher is not open-source and is primarily used for research and evaluation purposes.
What is the purpose of the RETRO architecture?
RETRO improves training efficiency and allows tracing of model outputs to their sources within the training corpus.
How can I access Gopher?
Gopher is not publicly accessible and is part of DeepMind's internal research and development efforts.
Why developers choose DeepMind Gopher
- Analyze Textual Data
- Detect Toxic Language
- Evaluate Model Performance
What makes DeepMind Gopher different
DeepMind’s Gopher is a 280 billion parameter language model that advances AI capabilities in language understanding and generation.
How it compares
- For a quick scan of competitors, check “Alternatives to DeepMind Gopher” below.
- Pricing model: Contact.