docs: fix grammar, clarify sampling strategies description

Author: planetf1

README.md

@@ -2,7 +2,7 @@
 
 # Mellea — build predictable AI without guesswork
 
-Inside every AI-powered pipeline, the unreliable part is the same: the LLM calls itself.
+Inside every AI-powered pipeline, the unreliable part is the same: the LLM call itself.
 Silent failures, untestable outputs, no guarantees.
 Mellea is a Python library for writing *generative programs* — replacing brittle prompts and flaky agents
 with structured, testable AI workflows built around type-annotated outputs, verifiable requirements, and automatic retries.
@@ -53,7 +53,7 @@ print(user.age)   # 31 — always an int, guaranteed by the schema
 
 - **Structured output** — `@generative` turns typed functions into LLM calls; Pydantic schemas are enforced at generation time
 - **Requirements & repair** — attach natural-language requirements to any call; Mellea validates and retries automatically
-- **Sampling strategies** — rejection sampling, majority voting, inference-time scaling with one parameter change
+- **Sampling strategies** — run a generation multiple times and pick the best result; swap between rejection sampling, majority voting, and more with one parameter change
 - **Multiple backends** — Ollama, OpenAI, vLLM, HuggingFace, WatsonX, LiteLLM, Bedrock
 - **Legacy integration** — easily drop Mellea into existing codebases with `mify`
 - **MCP compatible** — expose any generative program as an MCP tool