In a momentous revelation at Google’s I/O developer conference, the tech giant introduced PaLM 2, the next iteration of its large language model (LLM). This cutting-edge model will serve as the backbone for the revamped Bard chatbot, ushering in a new era of AI capabilities.
While specific technical details were not disclosed, Google emphasized that PaLM 2’s prowess exceeds the mere counting of its 540 billion parameters. Google’s DeepMind vice president, Zubin Ghahramani, stressed that model capabilities should be evaluated based on real-world usage, not just numerical metrics.
PaLM 2 boasts enhanced math and logic skills, derived from its extensive exposure to math and science texts. Unlike previous models, PaLM 2 can effortlessly tackle math puzzles, contemplate intricate problems, and even create diagrams autonomously. It marks a significant advancement, especially considering the historical struggle of language models with mathematical queries.
Moreover, PaLM 2 excels in the realm of programming. It has been trained in 20 programming languages, including widely used ones like JavaScript and Python, as well as specialized languages such as Prolog, Verilog, and Fortran. This versatility underscores Google’s commitment to catering to diverse developer needs.
PaLM 2’s proficiency is not confined to English; it has learned from a corpus of over 100 languages, enhancing its performance in multilingual tasks. Google envisions PaLM 2 as part of a family of models, including specialized versions like Codey for coding and customization, and Med-PaLM 2 focused on medical knowledge.
Excitingly, PaLM 2 isn’t just a concept—it’s available now for developers. Accessible via Google’s PaLM API, Firebase, and Colab, PaLM 2 heralds a new chapter in language model technology, promising transformative applications across various domains. As developers delve into this groundbreaking tool, the possibilities for innovative AI solutions seem boundless.