LLMs Utilize Vector DB for Data Storage; Performance Degradation in GPT-4; Google Pushes AI Tool for Newsrooms; Researchers Discover Performance Degradation in GPT-4; Google Pushes AI Tool for Newsrooms; Google Introduces Brain-to-Music AI

AI Unraveled: Latest AI News & Trends, GPT, Gemini, Generative AI, LLMs, Prompt, AI Bedtime Stories by Etienne Noumen

Episode notes

LLMs Utilize Vector DB for Data Storage, Researchers Discover Performance Degradation in GPT-4, Google Pushes AI Tool for Newsrooms, Apple Considers Withdrawing Facetime and iMessage from the UK, Sergey Brin Returns to Google to Lead Creation of GPT-4 Competitor, Google Introduces Brain-to-Music AI,

Researchers Discover Performance Degradation in GPT-4

Scientists from Stanford University and UC Berkeley have observed a concerning trend in GPT-4, OpenAI's leading large language model. They found that the AI's capabilities in handling sensitive queries, solving mathematical problems, and generating code have significantly decreased between March and June. This underlines the necessity for continuous evaluation and improvement of AI models like GPT-3.5 and GPT-4, as their performance might vary, and not  ... 

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Keywords
llms utilize vector db for data storageperformance degradation in gpt4google pushes ai tool for newsroomsapple considers withdrawing facetime and imessage from the uksergey brin returns to google to lead creation of gpt4 competitorbrain to music ai