Comparison between PaLM and PaLM2 Model based on papers/Google’s AI blog post
(FYI: This is an active Blog post which will be updated as I find time that will aim to compare the LLM Models released by Google)
PaLM (Pathways Language Model) and PaLM 2 are both large language models (LLMs) developed by Google AI. PaLM was first announced in April 2022, and PaLM 2 was announced in May 2023.
PaLM2 Technical Report — https://ai.google/static/documents/palm2techreport.pdf
PaLM model —
https://ai.googleblog.com/2022/04/pathways-language-model-palm-scaling-to.html
Palm Model and Palm2 model comparison
PaLM 2 is a significant improvement over PaLM in terms of both model size and training data. This means that PaLM 2 is better at performing a wider range of tasks, and it is also more accurate and reliable. PaLM 2 is also able to generate creative text formats, which PaLM cannot do.
Here are some of its unique features of PaLM2 :
- Multilinguality: PaLM 2 is more heavily trained on multilingual text, spanning more than 100 languages. This has significantly improved its ability to understand, generate, and translate nuanced text — including idioms, poems, and riddles — across a wide variety of languages.
- Reasoning: PaLM 2’s wide-ranging dataset includes scientific papers and web pages that contain mathematical expressions. As a result, it demonstrates improved capabilities in logic, common sense reasoning, and mathematics.
- Coding: PaLM 2 was pre-trained on a large quantity of publicly available source code datasets. This means that it excels at popular programming languages like Python and JavaScript, but can also generate specialized code in languages like Prolog, Fortran, and Verilog.
- Versatility: PaLM 2 is more capable, faster, and more efficient than previous models. It comes in a variety of sizes, which makes it easy to deploy for a wide range of use cases. The model is available in four sizes: Gecko, Otter, Bison, and Unicorn. Gecko is so lightweight that it can work on mobile devices and is fast enough for great interactive applications on-device, even when offline.
- Applications: PaLM 2 powers over 25 Google products and features. For example, its improved multilingual capabilities are allowing Google to expand Bard to new languages. Workspace features to help you write in Gmail and Google Docs, and help you organize in Google Sheets are all tapping into the capabilities of PaLM 2. Med-PaLM 2, trained by Google’s health research teams with medical knowledge, can answer questions and summarize insights from a variety of dense medical texts. It achieves state-of-the-art results in medical competency.
- Security: Sec-PaLM is a specialized version of PaLM 2 trained on security use cases, and a potential leap for cybersecurity analysis. Available through Google Cloud, it uses AI to help analyze and explain the behavior of potentially malicious scripts, and better detect which scripts are actually threats to people and organizations in unprecedented time.
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