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Challenges in Language Models on Search Engines
The chapter explores the accuracy issues in language models on search engines, particularly focusing on Google's shortcomings despite testing improvements. It delves into the trust users have in search results, concerns about misleading information, and the struggle with AI models' varying levels of general knowledge. The speakers discuss the advantages of smaller models like Phi three and Mistral, propose summarizing top search results for better responses, and critique Google's handling of search algorithms.