Meta's new generation AI model, Avocado, has completed pre-training and is internally referred to as the "most powerful" foundational model.

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Meta has informed some employees that its internally codenamed Avocado new model has become the company’s “most powerful pre-trained foundation model to date.”

On February 4, The Information reported that Megan Fu, the product manager of Meta’s Super Intelligence Lab, disclosed new developments of the Avocado model in an internal memo on January 20.

The memo shows that Avocado has completed the pre-training phase, which is the initial stage of AI model development, where the model learns general knowledge, patterns, and relationships by being exposed to large datasets.

The memo states that Avocado's performance in tests surpassed that of leading open-source pre-trained foundation models. Although it has not yet undergone subsequent training and optimization, the model can already “compete” with leading post-trained models in terms of knowledge, visual perception, and multilingual capabilities.

This progress is significant for Meta's competitive position in the AI field, but the actual performance of the model still awaits independent verification after public release. On Wednesday, Meta’s stock closed down 3.28%.

Super Intelligence Lab Leads the Development

The Avocado model was developed by Meta's Super Intelligence Lab, which is the team within Meta dedicated to AI research and development. This lab represents Meta’s latest organizational restructuring in the field of artificial intelligence.

Pre-training is the critical initial phase of AI model development, during which the model acquires general knowledge and patterns by exposure to large-scale datasets, and is then fine-tuned for specific tasks. Avocado has now completed this phase.

According to the internal memo, Avocado has demonstrated competitiveness on several dimensions before undergoing any post-training optimization. Post-training is the next stage in model development, usually used for tuning and improving the model for specific applications.

Although Meta is optimistic about Avocado's capabilities internally, the actual performance of the model cannot currently be independently verified. Only after the model is publicly released can external researchers and developers objectively assess its capabilities.

Reports say Meta has not yet announced a release timeline or commercialization plan for the Avocado model. The company has also not disclosed whether the model will be open-sourced or used internally only.

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