LLM applications are messy, but AdalFlow has made it elegant!
0.2.0 release highlight a unified auto-differentiative framework where you can perform both instruction and few-shot optimization. Along with our own research, “Learn-to-Reason Few-shot In-context Learning” and “Text-Grad 2.0”, AdalFlow optimizer converge faster, more token efficient, and with better accuracy than optimization-focused frameworks like Dspy and text-grad.
0.2.0 release highlight a unified auto-differentiative framework where you can perform both instruction and few-shot optimization. Along with our own research, “Learn-to-Reason Few-shot In-context Learning” and “Text-Grad 2.0”, AdalFlow optimizer converge faster, more token efficient, and with better accuracy than optimization-focused frameworks like Dspy and text-grad.