Reduce spacing between list items.

Author: ztangent

README.md

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 ## Features
 
 *   Multi-paradigm Bayesian inference via [Sequential Monte Carlo](https://www.gen.dev/docs/stable/ref/inference/pf/), [variational inference](https://www.gen.dev/docs/stable/ref/inference/vi/), [MCMC](https://www.gen.dev/docs/stable/ref/inference/mcmc/), and more.
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 *   Gradient-based training of generative models via [parameter optimization](https://www.gen.dev/docs/stable/ref/inference/parameter_optimization/), [wake-sleep learning](https://www.gen.dev/docs/stable/ref/inference/wake_sleep/), etc.
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-*   An expressive and intuitive [modeling language](https://www.gen.dev/docs/stable/ref/modeling/dml/) for writing and composing probabilistic programs.
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+*   An expressive and intuitive [modeling language](https://www.gen.dev/docs/stable/ref/modeling/dml/) for writing and composing probabilistic programs.    
 *   Inference algorithms are _programmable_: Write [custom proposals](https://www.gen.dev/tutorials/data-driven-proposals/tutorial), [variational families](https://www.gen.dev/docs/stable/tutorials/vi/), [MCMC kernels](https://www.gen.dev/docs/stable/ref/inference/mcmc/) or [SMC updates](https://www.gen.dev/docs/stable/ref/inference/trace_translators/) without worrying about the math.
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 *   Support for Bayesian structure learning via [involutive MCMC](https://www.gen.dev/docs/stable/ref/inference/mcmc/#involutive_mcmc) and [SMCP³](https://www.gen.dev/docs/stable/ref/inference/pf/#advanced-particle-filtering).
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 *   [Specialized modeling constructs](https://www.gen.dev/docs/stable/tutorials/scaling_with_sml/) that speed-up inference by supporting incremental computation.
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 *   Well-defined APIs for implementing [custom generative models](https://www.gen.dev/docs/stable/how_to/custom_gen_fns/), [distributions](https://www.gen.dev/docs/stable/how_to/custom_distributions/), [gradients](https://www.gen.dev/docs/stable/how_to/custom_gradients/), etc.
 
 ## Installation