The Conundrum of LLMs

Key Points

• This research explores the dual nature of large language models (LLMs) in terms of their performance strengths and weaknesses.
• Analyzed various large language models using performance metrics
• Examined datasets used for training
• Assessed bias and errors in outputs
• LLMs demonstrate high accuracy in certain tasks, but also exhibit significant biases
• Contradictory outputs observed, raising concerns about reliability
• Highlighting the need for careful implementation and evaluation