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Source-This post on SIMA: Google Deepmind’s new AI is based on the article “What is SIMA, Google Deepmind’s new AI that can play video games with you” published in “The Indian Express” on 15th March 2024.
Why in the News?
Google DeepMind introduced its newest AI gaming agent, SIMA. It can understand and execute tasks in video game environments based on natural language instructions.
What is SIMA?
1. Full form– Scalable Instructable Multiworld Agent (SIMA)
2. About– SIMA is an AI agent that can process data and take actions autonomously. It can be referred to as a generalist AI agent capable of performing various tasks.
3. Features:
a. It is like having a virtual friend, who can understand and follow instructions in any virtual setting, whether it’s exploring dungeons or constructing castles.
b. This virtual buddy can complete tasks and overcome challenges given to it.
c. By processing human language, it “understands” human commands, so when anyone asks it to build a castle or locate a treasure chest, it knows precisely what you mean.
d. One notable trait of this AI Agent is its ability to learn and adjust. SIMA learns from its experience and interactions with users.
4. Training – Google partnered with game developers to train SIMA in multiple video games.
5. Significance– This research marks the first time an agent has demonstrated the ability to understand various gaming environments and perform tasks within them using natural-language instructions, similar to a human.
What is the difference between AI agent and AI Model?
Google DeepMind refers to SIMA as an AI Agent, which differs from AI models such as OpenAI’s ChatGPT or Google Gemini.
| Aspect | AI Model | AI agent |
| Actionability | AI models undergo training on extensive datasets and have limitations in independent operation. | An AI Agent has the ability to process data and take actions autonomously. |
| Data input | AI models process input data and generate outputs using predefined algorithms and learned patterns. | They might use AI models to help make decisions, but they also add extra layers of logic, learning, or planning to handle complex situations. |
| Examples | OpenAI’s ChatGPT, Google Gemini | Siri, Alexa, and Google Assistant |
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