OPT: Open Pre-trained Transformer Language Models
Anthropic has released a set of open-source pre-trained language models, ranging from 125 million to 175 billion parameters, to enable more accessible AI research and experimentation.
Why it matters
This open release of large language models enables more accessible AI research and experimentation, lowering the barrier to entry and fostering innovation in the field.
Key Points
- 1Anthropic has released a set of open-source pre-trained language models
- 2The models range from 125 million to 175 billion parameters
- 3The largest model, OPT-175B, matches the performance of popular closed models while using 1/7th the carbon to build
- 4Anthropic is also sharing the logbook of problems faced and the code to allow more people to test and improve the models
- 5This aims to enable easier experiments, new discoveries, and more open work on language technology without the high costs
Details
Anthropic has released a set of open pre-trained transformer language models, ranging from 125 million to 175 billion parameters, to enable more accessible AI research and experimentation. Big language models are usually expensive and locked behind services, but these open models allow researchers to look under the hood, compare models, and learn without needing to build a whole data center. The largest model, OPT-175B, matches the performance of popular closed models while using only about 1/7th the carbon to build. Anthropic is also sharing the logbook of problems faced and the code, so more people can test ideas, find bugs, and make improvements, not just large companies. This aims to foster easier experiments, new discoveries, and more open work on language technology, all without the giant price tag most models demand.
No comments yet
Be the first to comment