Update README.md

Author: okhat

README.md

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-DSPy is the open-source framework for **building high-quality, modular AI systems** by _programming—rather than prompting—language models_. It provides abstractions and algorithms for **optimizing the prompts and weights** in LM programs, ranging from simple classifiers to sophisticated RAG pipelines and Agent loops.
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-Instead of writing brittle LM-specific prompts, you write compositional code and use DSPy optimizers to teach different models like `GPT-4o` or `Llama-3.2` to **deliver higher quality outputs** or avoid specific failure patterns. In essence, DSPy optimizers then _compile your high-level code_ into low-level computations, prompts, or weight updates that **align your LM with your program’s structure and metrics**.
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-DSPy stands for Declarative Self-improving Python. This [recent lecture](https://www.youtube.com/watch?v=JEMYuzrKLUw) is a good conceptual introduction. Our [Discord server](https://discord.gg/XCGy2WDCQB) is a great place to meet the community, seek help, or start contributing.
+DSPy is the open-source framework for _programming—rather than prompting—language models_. It allows you to iterate fast on **building modular AI systems** and provides algorithms for **optimizing their prompts and weights**, whether you're building simple classifiers, sophisticated RAG pipelines, or Agent loops.
 
+DSPy stands for Declarative Self-improving Python. Instead of brittle prompts, you write compositional _Python code_ and use DSPy's tools to **teach your LM to deliver high-quality outputs**. This [lecture](https://www.youtube.com/watch?v=JEMYuzrKLUw) is a good conceptual introduction. Meet the community, seek help, or start contributing via our GitHub repo here and our [Discord server](https://discord.gg/XCGy2WDCQB).
 
 
 ## Documentation: [dspy.ai](https://dspy.ai)