About this episode

The episode discusses the quality of AI-generated text in the context of responding to government RFPs.

Large Language Models can generate a lot of text - but is it any good? Carl and Richard talk to Vishwas Lele about his ongoing efforts at pWin.ai to build tools for responding to government RFPs. Vishwas focuses on the quality problem - both the quality of the incoming RFP and the quality of the responding proposal. How do you determine the key requirements of an RFP reliably? And when it comes to the response, how do you provide measurable results for a response? The conversation digs into a change in workflow that benefits the RFP process regardless of tooling - and gives hints to the patterns of success with LLMs!

People in this episode

Host: Carl Franklin

Guest: Vishwas Lele

Topics covered

• AI
• Quality Measurement
• RFP Process
• Large Language Models
• Workflow Improvement

Mentioned in this episode

Organizations: pWin.ai

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