LLMs can generate feedback on their work, use it to improve the output, and repeat this process iteratively.
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Benchmarking large language models' complex reasoning ability with chain-of-thought prompting
LLM Finetuning with peft
TextGrad: Automatic ''Differentiation'' via Text -- using large language models to backpropagate textual gradients. Published in Nature.
Prompt Engineering | Prompt Versioning | Use GPT or other prompt based models to get structured output. Join our discord for Prompt-Engineering, LLMs and other latest research
LLM-as-a-Verifier is a general-purpose framework that provides fine-grained feedback for any agent without requiring additional training. It achieves SOTA performance across coding, robotics, and medical agentic benchmarks.
A framework for prompt tuning using Intent-based Prompt Calibration
