|
|
@@ -328,7 +328,7 @@ If you're interested in the field of LLM, you may find the above list of milesto
|
|
|
- [MNN-LLM](https://github.com/alibaba/MNN) -- A Device-Inference framework, including LLM Inference on device(Mobile Phone/PC/IOT)
|
|
|
|
|
|
## LLM Applications
|
|
|
-- [AdalFlow](https://github.com/SylphAI-Inc/AdalFlow) - AdalFlow: The PyTorch library for LLM applications.
|
|
|
+- [AdalFlow](https://github.com/SylphAI-Inc/AdalFlow) - AdalFlow: The library to build&auto-optimize LLM applications.
|
|
|
- [dspy](https://github.com/stanfordnlp/dspy) - DSPy: The framework for programming—not prompting—foundation models.
|
|
|
- [YiVal](https://github.com/YiVal/YiVal) — Evaluate and Evolve: YiVal is an open-source GenAI-Ops tool for tuning and evaluating prompts, configurations, and model parameters using customizable datasets, evaluation methods, and improvement strategies.
|
|
|
- [Guidance](https://github.com/microsoft/guidance) — A handy looking Python library from Microsoft that uses Handlebars templating to interleave generation, prompting, and logical control.
|
Hannibal046