




Enter JobsGPT, a new AI-powered tool created by @paulroetzer designed to assess how large language models (LLMs) could reshape the future of work. https://t.co/8I1QeAvcTN
Use Prompt Chaining to get better AI outputs: 1. Break down one big task into several subtasks 2. Create a prompt for each subtask 3. Run prompt #1 then insert the output into prompt #2 and so on You'll get better results than using one large prompt
Prompt Chaining beats Stepwise prompting. https://t.co/DGSfpjKgkU

Recent discussions among AI enthusiasts highlight the effectiveness of prompt chaining over traditional stepwise prompting in enhancing interactions with AI systems. A study has shown that prompt chaining generally yields better results, as it allows each prompt's response to inform the next, creating a logical flow that improves the coherence and insightfulness of AI replies. Various users have shared insights and tools related to prompt engineering, including the introduction of JobsGPT, an AI-powered tool designed to analyze job tasks and maximize productivity by assessing the impact of AI on work. Additionally, ChatGPT is being recognized for its potential to aid in job searches, with suggestions on how to utilize specific prompts to expedite the process. Overall, the advancements in prompt engineering are seen as pivotal in optimizing AI applications across different domains, including employment and productivity.