nshkrdotcom/ds_ex
DSPEx - Declarative Self-improving Elixir | A BEAM-Native AI Program Optimization Framework
This project helps developers working with Elixir to build and optimize AI applications more effectively. It aims to replicate the functionalities of the Python DSPy library, enabling the construction of self-improving programs. The project takes existing AI models and program logic, and through various optimization techniques, produces more efficient and robust AI applications. It is intended for Elixir developers who are building AI systems and want to improve their performance and reliability.
No commits in the last 6 months.
Use this if you are an Elixir developer building AI applications and need to optimize your models and program logic for better performance and reliability.
Not ideal if you are not an Elixir developer or if you are looking for a ready-to-use AI application without needing to program its internal optimization.
Stars
16
Forks
1
Language
Elixir
License
MIT
Category
Last pushed
Jul 12, 2025
Commits (30d)
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