Using AI to Measure Quality of AI with Vishwas Lele

About this episode

The episode discusses the quality of AI-generated text in the context of responding to government RFPs with insights from Vishwas Lele.

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

Hosts: Carl Franklin, Richard Campbell

Guest: Vishwas Lele

Topics covered

• AI quality measurement
• RFP process
• Large Language Models
• proposal quality
• workflow improvement

Keywords

• AI
• RFP
• quality measurement
• Large Language Models
• proposal response

Mentioned in this episode

Organizations: pWin.ai, Large Language Models

More episodes of .NET Rocks!

• Event Sourcing using Cratis with Einar Ingebrigsten · June 11, 2026 · 54 min
• Daemonic AI with Emmz Rendle · June 4, 2026 · 59 min
• Ten Things Scott Sauber Does On Every .NET App · May 28, 2026 · 56 min
• Use What Works with Dylan Beattie · May 14, 2026 · 57 min
• .NET Nanoframework with José Simões · May 6, 2026 · 55 min
• Episode 2000! · April 30, 2026 · 1h 38m