PaLM 2 ( Pathways Language Model 2)
Last updated
Last updated
PaLM 2 (Pathways Language Model) is a large language model (LLM) developed by Google AI. It was announced at Google I/O 2023 and is the successor to PaLM, which was released in 2022.
PaLM 2 has a number of improvements over PaLM, including:
It is trained on a dataset of over 540 billion words, which is more than twice the size of the dataset used to train PaLM.
It is able to generate text in over 100 languages, while PaLM was only able to generate text in 26 languages.
It has better performance on a variety of tasks, including natural language inference, code generation, and question answering.
LaMDA (Language Model for Dialogue Applications), another LLM developed by Google AI. It was announced in 2021 and is designed for dialogue-based applications. LaMDA is trained on a dataset of human dialogue and stories, and is able to engage in open-ended conversations.
PaLM 2 and LaMDA are both large language models, but they have different strengths and weaknesses.
PaLM 2 is better at tasks that require a broad knowledge of the world, such as Natural Language Inference and Computer Code generation.
LaMDA is better at tasks that require understanding and responding to human language, such as dialogue and storytelling.
In general, PaLM 2 is a more powerful language model than LaMDA. However, LaMDA is still a very impressive piece of technology, and it is likely to be used in a variety of applications in the future.
Here is a table summarizing the key differences between PaLM 2 and LaMDA:
Feature | PaLM 2 | LaMDA |
---|---|---|
Overall, PaLM 2 is a more powerful language model than LaMDA. However, both models are impressive pieces of technology and have the potential to be used in a variety of applications in the future.