Google recently announced the release of PaLM 2, the next generation in their large language model research. PaLM 2 builds upon Google’s work in machine learning and responsible AI development. This new model demonstrates state-of-the-art performance across various natural language understanding tasks such as advanced reasoning, multilingual translation, code generation, classification, and question answering – showing improved capabilities over previous models like PaLM.
PaLM 2 was created using compute-optimal scaling techniques which allow for more parameters and data to be processed efficiently. An optimized mixture of datasets was also used during training. Additional model architecture refinements contributed to PaLM 2’s enhanced abilities. Before being applied to any research or products, PaLM 2 underwent rigorous evaluation to identify and help mitigate potential harms or biases.
Benchmark results indicate PaLM 2 achieves the highest performance levels seen to date. It also exhibits stronger multilingual proficiencies compared to PaLM. As with all of Google’s AI, PaLM 2 was developed adhering to their responsible innovation approach and focus on safety.
PaLM 2 powers Google’s generative AI features such as Bard, their conversational AI API, and various intelligent capabilities within Google Workspace. This new model demonstrates Google’s continued progress in building powerful yet responsible language models to benefit users.
