The architecture of today's LLM applications
large prompts will prove to be an anti-pattern. They go against the common wisdom in software engineering.
Write small, testable, functions.
Imagine a world where LLMs are used for small, incremental steps.
That’s how engineering works. It’s taking a large problem and breaking it down into smaller problems.
This is how you test, validate and evaluate ... See more
Write small, testable, functions.
Imagine a world where LLMs are used for small, incremental steps.
That’s how engineering works. It’s taking a large problem and breaking it down into smaller problems.
This is how you test, validate and evaluate ... See more
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Exploratory and transformational creativity, on the other hand, often require deep familiarity with a conceptual space. Here, LLMs save time by acting as intelligent research assistants. Tools like OpenAI’s deep research can help you get a clearer sense of the landscape you’re working within, as well as a stronger foundation from which to push its ... See more
Rhea Purohit • A Science-based Guide to Thinking Creatively—With LLMs
Building production-ready LLM-powered applications is currently very difficult. It involves countless iterations of prompt engineering, parameter tuning, and architectures.... See more
Agenta provides you with the tools to quickly do prompt engineering and 🧪 experiment , ⚖️ evaluate , and 🚀 deploy your LLM apps. All without imposing any restrictions on your