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IBM Commits to Transparency with Granite 3.0 LLM
- IBM has released new open-source model, Granite 3.0. The datasets that are used for training are clearly disclosed by IBM. The language models are trained on Blue Vela, powered entirely by renewable energy.
- Recently, Stanford’s Foundation Model Transparency Index report stated that IBM’s Granite models achieved a 100% score in transparency and openness of a model test.
- Big tech companies including Google, Apple, and OpenAI remain tight-lipped about the data used to train their LLMs.
- IBM’s approach is to increase transparency by default. It can help businesses overcome the scepticism and negative ‘black box’ connotation attached to LLMs.
- By providing transparent models, IBM is likely to receive more recognition for playing the good guy in the world of AI.
- Deep integration of AI into technology is something that people will choose on how to use or if they want to use it.
- Granite models aim to make open source the winner in the world of the internet. People encountering good samaritans may get motivation to contribute to open source datasets.
- IBM’s generative AI book of business is up by more than $1 billion quarter to quarter.
- IBM's transparency can help businesses spend more time looking for solutions to their problems rather worry about the reliability of models they’re using.
- IBM’s training datasets are mainly open-source, which would help in research, development and enhance these datasets.
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