Google’s PaLM 2: The AI Game Changer?
The race to AI dominance is now at its peak, with tech giants Google, Open AI, and Microsoft vying for the top spot. Earlier this month, Google unveiled its new language model, PaLM 2, designed to improve language translation, “reasoning,” and coding capabilities. PaLM 2 is Google’s response to Open AI’s recent ChatGPT-4 version and Microsoft’s integration in Bing Chat. Safe to say, Google is now picking up the pace after experiencing a number of issues with Bard AI.
PaLM 2 has now replaced LaMDA and is powering 25 of Google’s products. With PaLM 2’s advanced AI capabilities, specific models can be created and trained in different fields such as Sec-PaLM 2 and Med-PaLM2 familiar with the cybersecurity and medical industry, respectively.
Just as Open AI is yet to reveal the size of GPT-4, so is Google which is yet to reveal exactly how big PaLM 2 is. However, PaLM 2 is advantageous over GPT-4 as it has smaller sizes that are specific to particular applications that lack superior onboarding power.
PaLM 2’s submodels with different sizes include Unicorn (largest), Bison, Otter, and Gecko (smallest). Speaking during the I/O developers event, Google and Alphabet CEO Sundar Pichai noted that Gecko can work on mobile devices as it is fast enough for great interactive applications on-device even when offline. “This versatility means PaLM 2 can be fine-tuned to support entire classes of products in more ways, to help more people,” he said.
The two LLMs are trained on different data. PaLM 2 is trained in over 100 languages and a variety of domains, such as mathematics, science, programming, and literature. It also uses a curated dataset that filters out low-quality or harmful text, such as spam, hate speech, or misinformation.
PaLM 2 also uses a technique called pathways learning, which allows it to learn from multiple sources of information and combine them in a coherent way. It can solve advanced mathematical problems, explain its steps, and provide diagrams. PaLM 2 has improved reasoning and logic capabilities over GPT-4. However, GPT-4 has more versatile capabilities than Google’s PaLM2, as it can generate natural language text for almost any task.
Choosing which LLM to go with is completely up to you. If you need one that is strong with logic and reasoning and has a “Google it” section, PaLM 2 is the way to go. If you need one that has proved itself in generating text and is fast while at it, then look no further than GPT-4.
In the AI scene, Google has proven that it is yet to back down on this battle, as during its I/O 2023 developer event, the tech giant said they are working on Gemini, a multimodal designed to be highly efficient at tool and API integrations. Pichai mentioned that it will be built to enable future innovations like memory and planning. “Gemini is still in training, but it’s already exhibiting multimodal capabilities never before seen in prior models,” Pichai said. “Once fine-tuned and rigorously tested for safety, Gemini will be available in various sizes and capabilities, just like PaLM 2, to ensure it can be deployed across different products, applications, and devices for everyone’s benefit.”
In conclusion, PaLM 2 is a game changer for Google in the AI race. With its advanced capabilities, it is a strong contender for the top spot. However, it all depends on the user’s needs, as both PaLM 2 and GPT-4 have their advantages and disadvantages. Stay tuned for Gemini, as it could be the next big thing in the AI world.
Editor Notes:
The AI race is getting more heated by the day, with each tech giant trying to outdo each other. It’s exciting to see the new innovations that are being created and the endless possibilities that AI can bring. At GPT News Room, we strive to keep you up-to-date with the latest news and developments in the AI industry. Check out our website for more information.
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