According to @DeepLearningAI, its Retrieval Augmented Generation course explains how LLMs generate tokens, why hallucinations occur, and how retrieval-based grounding improves factuality using Together AI’s tooling. According to @DeepLearningAI, the curriculum explicitly explores deployment tradeoffs including prompt length, compute costs, and context limits. According to @DeepLearningAI, this focus on cost and context constraints targets the practical variables practitioners balance when scaling LLM applications.

According to @timnitGebru, OpenAI's Whisper, an automatic speech recognition (ASR) tool integrated into ChatGPT, sometimes generates inaccurate information, a phenomenon known in the industry as 'hallucination' (source: Twitter). This issue highlights the challenges of ASR systems in accurately transcribing speech, which could impact trading strategies relying on voice-activated commands.