Google has unveiled AlphaCode 2, an improved version of its code-generating AI model, powered by Gemini, a generative AI model. AlphaCode 2 outperforms its predecessor, excelling in programming challenges and solving complex math and theoretical computer science problems. The AI model uses policy models to generate code samples, which are then filtered, grouped, and scored to provide the best code solution for a given problem.
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Google unveils AlphaCode 2, powered by Gemini
Key Points:
- DeepMind’s study demonstrated that AI agents can exhibit social learning skills by imitating humans in novel contexts without relying on pre-collected human data.
- In a simulated environment, AI agents learned to navigate by mimicking expert agents and quickly applied their new skills to other virtual paths.
- This advancement has the potential to reduce the traditional, resource-intensive training of algorithms, increase their problem-solving capabilities, and raises questions about whether artificial intelligence could acquire social and cultural elements of human thought.
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