MLOps.community Ax a New Way to Build Complex Workflows with LLMs // Vikram Rangnekar // #259
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Sep 11, 2024 
Vikram Rangnekar, an open-source software developer known for simplifying LLM integration, discusses his innovative work with LLMClient, a TypeScript library. He shares insights on crafting complex workflows using prompt tuning and composable prompts. The conversation delves into effective LLM prompting techniques and the challenges faced in building applications with LLMs. Vikram also explores the use of personas to enhance workflow efficiency and the need for improved frameworks to unlock the full potential of LLMs.
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42 Papers Origin
- Vikram Rangnekar's initial venture, 42 Papers, aimed to revolutionize academic paper discovery by extracting key points using early BERT models.
- This experience sparked his deeper exploration into LLMs and the development of a framework for building with them.
DSP Signatures as Functions
- The DSP paper's concept of signatures, essentially functions with inputs and outputs, provides a clear abstraction for LLMs and facilitates composability.
- This structured approach enables building complex workflows by connecting multiple prompts or agents like APIs.
Leveraging Examples
- Use examples to guide LLMs effectively, as they reveal patterns that explicit instructions may not capture.
- Leverage the lower cost of input tokens by providing rich examples, improving output quality and reducing error correction.