PaLM-E vs ChatGPT Plugins
In the contest of PaLM-E vs ChatGPT Plugins, which AI Large Language Model (LLM) tool is the champion? We evaluate pricing, alternatives, upvotes, features, reviews, and more.
If you had to choose between PaLM-E and ChatGPT Plugins, which one would you go for?
When we examine PaLM-E and ChatGPT Plugins, both of which are AI-enabled large language model (llm) tools, what unique characteristics do we discover? In the race for upvotes, ChatGPT Plugins takes the trophy. The number of upvotes for ChatGPT Plugins stands at 15, and for PaLM-E it's 6.
Don't agree with the result? Cast your vote and be a part of the decision-making process!
PaLM-E
What is PaLM-E?
The PaLM-E project introduces an innovative Embodied Multimodal Language Model, which integrates real-world sensor data with linguistic models for advanced robotic tasks. PaLM-E, short for "Projection-based Language Model embodied," fuses textual inputs with continuous sensory information, such as visual and state estimation data, to create a comprehensive understanding and interaction in the physical world.
Designed to aid in tasks like robotic manipulation planning, visual question answering, and captioning, PaLM-E showcases the potential of large, multimodal language models trained on varied tasks across domains. With its largest iteration, PaLM-E-562B, boasting 562 billion parameters, the model not only excels in robotic tasks but also achieves state-of-the-art performance in visual-language tasks like OK-VQA, while maintaining robust general language skills.
ChatGPT Plugins
What is ChatGPT Plugins?
OpenAI follows an iterative deployment philosophy, and as part of this approach, it is gradually releasing plugins for ChatGPT. The purpose of this gradual release is to study the real-world use of the plugins, assess their impact, and identify any safety and alignment challenges that may arise. Getting these aspects right is essential for OpenAI to achieve its mission.
Since the launch of ChatGPT, users have expressed interest in having access to plugins, and many developers are experimenting with similar ideas. OpenAI is initially rolling out plugins to a small set of users and plans to gradually increase access as it learns more. After an alpha period, API users who want to integrate plugins into their products will also have access. OpenAI is excited to build a community that will help shape the future of the human-AI interaction paradigm.
Developers who have been invited off the waitlist can use OpenAI's documentation to build a plugin for ChatGPT. Once the plugin is created, it is listed in the prompt shown to the language model, along with documentation that instructs the model on how to use each one. The first set of plugins has been created by Expedia, FiscalNote, Instacart, KAYAK, Klarna, Milo, OpenTable, Shopify, Slack, Speak, Wolfram, and Zapier.
PaLM-E Upvotes
ChatGPT Plugins Upvotes
PaLM-E Top Features
End-to-End Training: Integrates sensor modalities with text in multimodal sentences, training alongside a pre-trained large language model.
Embodied Multimodal Capabilities: Addresses various real-world tasks, combining vision, language, and state estimation.
Variety of Observation Modalities: Works with different types of sensor input, adapting to multiple robotic embodiments.
Positive Transfer Learning: Benefits from training across diverse language and visual-language datasets.
Scalability and Specialization: The PaLM-E-562B model specializes in visual-language performance while retaining broad language capabilities.
ChatGPT Plugins Top Features
Real-time Information Access: Plugins enable ChatGPT to access up-to-date information, making it more useful and informed.
Computation Capability: Perform computations or run code snippets directly within the chat, enhancing problem-solving abilities.
Third-party Service Interaction: Interact with services like Expedia, FiscalNote, or Instacart, expanding the range of tasks ChatGPT can assist with.
Community Building: OpenAI aims to build a community of developers and users to shape the future of human-AI interaction through plugins.
Gradual Rollout: A cautious rollout approach to study real-world use, impact, and safety, ensuring a responsible deployment of this new feature.
PaLM-E Category
- Large Language Model (LLM)
ChatGPT Plugins Category
- Large Language Model (LLM)
PaLM-E Pricing Type
- Freemium
ChatGPT Plugins Pricing Type
- Freemium