Genspark leverages multiple large language models, including Meta's Llama and OpenAI's GPT models, to provide unbiased and personalized search results. It uses AI agents within a multi-agent framework to generate real-time, custom Sparkpages tailored to user queries. These pages aggregate information from diverse sources, offering comprehensive insights devoid of commercial bias. The expected benefits of this approach include a superior search experience, efficient access to trustworthy information, and more visual results.
In what ways does Genspark utilize AI to tailor search results for users, and what are the expected benefits of this approach?
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