What Is The Use Of Google PaLM 2 ?

Google has launched their next-generation big language model, PaLM 2, built on ground-breaking work in machine learning and ethical AI.

PaLM 2 : Introduction

Google claims that It performs better than their prior state-of-the-art LLMs, including PaLM, for complex reasoning tasks like code and math, classification and question-answering, translation and multilingualism, and natural language production. The use of google PaLM 2 could be understood by its design, which combines compute-optimal scaling, an enhanced dataset mixture, and model architectural advancements, enables it to carry out these tasks.

Is Google PaLM 2 Better Than GPT-4 ?

Google claims that if not all, but in most scenarios PaLM2 will perform better than GPT-4. Compared to PaLM 2, GPT-4 is trained on a wider range of data that includes almost all of the online languages and domains. Furthermore, Google asserts that PaLM 2 outperforms GPT-4 in terms of reasoning and logic. It can provide illustrations, step-by-step instructions, and solutions to complex mathematical problems. Read this article to understand exactly Is Google PaLM 2 is better than GPT-4 ?

So What Is The Use of Google PaLM 2 ?

Google has explained several test cases to show how PaLM 2 can be used to get best out of it. However their main focus was around three aspects :

1. Reasoning
2. Coding
3. Multilingual Translation
   

1. Reasoning

In recent event organized by Google about PaLM 2 features, one of the main aspects they cherish about PaLM 2 is, its power of reasoning. In comparison to earlier LLMs, like PaLM; PaLM 2 is stronger at grasping the subtleties of human language and can break down difficult tasks into simpler subtasks. PaLM 2 is particularly adept at deciphering idioms and riddles, which call for comprehending words’ ambiguous and metaphorical meanings rather than their literal meanings.

Here is an example shown at Google’s official website.

2. Coding

Coding is not an easy task for many, however even expert programmers need some additional support many a times. In last 2 decades, automation has changed everything around legacy way of coding. It is no more coding, then deployment, then testing, then deployment over higher environments and so on.

Coding practices along with time taken to write a code has been improved significantly due to automation. Google has contributed nicely in this area, but now with PaLM 2; google is claiming that the coding tasks would be much more easier with PaLM 2 which is pre-trained on a large quantity of webpage, source code and other datasets. PaLM2 not only excels at popular programming languages like Python and JavaScript, but is also capable of generating specialized code in languages like Prolog, Fortran, and Verilog. Combining this with its language capabilities can help teams collaborate across languages.

Here is an example Google shared :

3. Multilingual Translations

In this era of globalization, language boundaries don’t exist anymore. Google has helped the entire world excellently around translations. It brought google translations way back and everyone around the work is getting benefitted with the same everyday. PaLM 2 is claimed to be more mature compared to PaLM -1. PaLM 2 has been pre-trained on parallel multilingual text and on a significantly bigger corpus of languages. PaLM 2 is hence exceptional at multilingual tasks. We would need to evaluate its power when we would start seeing its capabilities further. However sharing an example of how Google promotes this feature :

Apart from this, Google provides a variety of Prompt library which can be used by developers (eventually the end users) to generate desired output by just giving a simple text in the form of Prompts. In Google’s generative AI platform, the current Prompt Gallery displays a large set of available prompts. This is another way you can think to use of Google PaLM 2 in general.

These are just a few examples which Google’s generative AI’s Prompt Gallery has to offer, for full list, you can refer the official google page here. which eventually help PaLM 2 to generate the most precise and accurate output. With the sample list above, one can understand how powerful PaLM 2 is going to appear and how to make a good use of google PaLM 2.

While most of your text to text generation work can be done using PaLM 2, other content related to images are also being served by several other AI models nicely in year 2023. One of the major findings (and lesser known tool) around text to image generation is Leonardo AI (came after Midjourney). If your work involves both text as well as Image generation, you can use PaLM 2 first and then go to Leonardo AI for a complete coverage. Explore it here : How to use Leonardo AI

Conclusion

Whether PaLM 2 is going to be a good use case for most of us in future or now, is something the time will tell us; but the power injected into PaLM 2 by Google, has shown that it is not an avoidable stuff.

Due to its extensive schooling in logic and reasoning, PaLM 2 has enhanced talents in the areas like Translation, summarizing, responding to inquiries, text completion, generation, analysis, extraction, and even text paraphrase are going to be some best use of Google PaLM 2 in coming day.

---