mirror of https://github.com/inclusionAI/AReaL
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25 KiB
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600 lines
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Welcome to your Jupyter Book
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<p aria-level="2" class="caption" role="heading"><span class="caption-text">Tutorial</span></p>
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<li class="toctree-l1"><a class="reference internal" href="tutorial/tutorial_v0_2_0.html">Improving LLM’s Reasoning Capabilities with AReaL: A Complete Guide</a></li>
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<li class="toctree-l1"><a class="reference internal" href="tutorial/tutorial_v0_2_0_zh.html">利用AReaL提升大语言模型推理能力：中文教程</a></li>
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<div id="jb-print-docs-body" class="onlyprint">
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<h1>Content with notebooks</h1>
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<!-- Table of contents -->
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<div id="print-main-content">
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<div id="jb-print-toc">
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<div>
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<h2> Contents </h2>
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<nav aria-label="Page">
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<ul class="visible nav section-nav flex-column">
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<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#markdown-notebooks">Markdown + notebooks</a></li>
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<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#myst-markdown">MyST markdown</a></li>
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<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#code-blocks-and-outputs">Code blocks and outputs</a></li>
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<article class="bd-article">
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<section class="tex2jax_ignore mathjax_ignore" id="content-with-notebooks">
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<h1>Content with notebooks<a class="headerlink" href="#content-with-notebooks" title="Link to this heading">#</a></h1>
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<p>You can also create content with Jupyter Notebooks. This means that you can include
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code blocks and their outputs in your book.</p>
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<section id="markdown-notebooks">
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<h2>Markdown + notebooks<a class="headerlink" href="#markdown-notebooks" title="Link to this heading">#</a></h2>
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<p>As it is markdown, you can embed images, HTML, etc into your posts!</p>
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<p><img alt="" src="https://myst-parser.readthedocs.io/en/latest/_static/logo-wide.svg" /></p>
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<p>You can also <span class="math notranslate nohighlight">\(add_{math}\)</span> and</p>
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<div class="math notranslate nohighlight">
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\[
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math^{blocks}
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\]</div>
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<p>or</p>
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<div class="math notranslate nohighlight">
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\[\begin{split}
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\begin{aligned}
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\mbox{mean} la_{tex} \\ \\
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math blocks
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\end{aligned}
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\end{split}\]</div>
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<p>But make sure you $Escape $your $dollar signs $you want to keep!</p>
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</section>
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<section id="myst-markdown">
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<h2>MyST markdown<a class="headerlink" href="#myst-markdown" title="Link to this heading">#</a></h2>
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<p>MyST markdown works in Jupyter Notebooks as well. For more information about MyST markdown, check
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out <a class="reference external" href="https://jupyterbook.org/content/myst.html">the MyST guide in Jupyter Book</a>,
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or see <a class="reference external" href="https://myst-parser.readthedocs.io/en/latest/">the MyST markdown documentation</a>.</p>
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</section>
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<section id="code-blocks-and-outputs">
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<h2>Code blocks and outputs<a class="headerlink" href="#code-blocks-and-outputs" title="Link to this heading">#</a></h2>
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<p>Jupyter Book will also embed your code blocks and output in your book.
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For example, here’s some sample Matplotlib code:</p>
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||
<div class="cell docutils container">
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<div class="cell_input docutils container">
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<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="kn">from</span> <span class="nn">matplotlib</span> <span class="kn">import</span> <span class="n">rcParams</span><span class="p">,</span> <span class="n">cycler</span>
|
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<span class="kn">import</span> <span class="nn">matplotlib.pyplot</span> <span class="k">as</span> <span class="nn">plt</span>
|
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<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
|
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<span class="n">plt</span><span class="o">.</span><span class="n">ion</span><span class="p">()</span>
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</pre></div>
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</div>
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</div>
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<div class="cell_output docutils container">
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<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span><contextlib.ExitStack at 0x1fbf6bdf9b0>
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</pre></div>
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</div>
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</div>
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</div>
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<div class="cell docutils container">
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<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="c1"># Fixing random state for reproducibility</span>
|
||
<span class="n">np</span><span class="o">.</span><span class="n">random</span><span class="o">.</span><span class="n">seed</span><span class="p">(</span><span class="mi">19680801</span><span class="p">)</span>
|
||
|
||
<span class="n">N</span> <span class="o">=</span> <span class="mi">10</span>
|
||
<span class="n">data</span> <span class="o">=</span> <span class="p">[</span><span class="n">np</span><span class="o">.</span><span class="n">logspace</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="mi">100</span><span class="p">)</span> <span class="o">+</span> <span class="n">np</span><span class="o">.</span><span class="n">random</span><span class="o">.</span><span class="n">randn</span><span class="p">(</span><span class="mi">100</span><span class="p">)</span> <span class="o">+</span> <span class="n">ii</span> <span class="k">for</span> <span class="n">ii</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="n">N</span><span class="p">)]</span>
|
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<span class="n">data</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">data</span><span class="p">)</span><span class="o">.</span><span class="n">T</span>
|
||
<span class="n">cmap</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">cm</span><span class="o">.</span><span class="n">coolwarm</span>
|
||
<span class="n">rcParams</span><span class="p">[</span><span class="s1">'axes.prop_cycle'</span><span class="p">]</span> <span class="o">=</span> <span class="n">cycler</span><span class="p">(</span><span class="n">color</span><span class="o">=</span><span class="n">cmap</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">linspace</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="n">N</span><span class="p">)))</span>
|
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|
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|
||
<span class="kn">from</span> <span class="nn">matplotlib.lines</span> <span class="kn">import</span> <span class="n">Line2D</span>
|
||
<span class="n">custom_lines</span> <span class="o">=</span> <span class="p">[</span><span class="n">Line2D</span><span class="p">([</span><span class="mi">0</span><span class="p">],</span> <span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="n">color</span><span class="o">=</span><span class="n">cmap</span><span class="p">(</span><span class="mf">0.</span><span class="p">),</span> <span class="n">lw</span><span class="o">=</span><span class="mi">4</span><span class="p">),</span>
|
||
<span class="n">Line2D</span><span class="p">([</span><span class="mi">0</span><span class="p">],</span> <span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="n">color</span><span class="o">=</span><span class="n">cmap</span><span class="p">(</span><span class="mf">.5</span><span class="p">),</span> <span class="n">lw</span><span class="o">=</span><span class="mi">4</span><span class="p">),</span>
|
||
<span class="n">Line2D</span><span class="p">([</span><span class="mi">0</span><span class="p">],</span> <span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="n">color</span><span class="o">=</span><span class="n">cmap</span><span class="p">(</span><span class="mf">1.</span><span class="p">),</span> <span class="n">lw</span><span class="o">=</span><span class="mi">4</span><span class="p">)]</span>
|
||
|
||
<span class="n">fig</span><span class="p">,</span> <span class="n">ax</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">subplots</span><span class="p">(</span><span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">10</span><span class="p">,</span> <span class="mi">5</span><span class="p">))</span>
|
||
<span class="n">lines</span> <span class="o">=</span> <span class="n">ax</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">data</span><span class="p">)</span>
|
||
<span class="n">ax</span><span class="o">.</span><span class="n">legend</span><span class="p">(</span><span class="n">custom_lines</span><span class="p">,</span> <span class="p">[</span><span class="s1">'Cold'</span><span class="p">,</span> <span class="s1">'Medium'</span><span class="p">,</span> <span class="s1">'Hot'</span><span class="p">]);</span>
|
||
</pre></div>
|
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<div class="cell_output docutils container">
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<img alt="_images/278d4a495af51f3b5ec6c3b5c8d4b48aeb6e019b7cc3758cfcc9bed0b219cfd7.png" src="_images/278d4a495af51f3b5ec6c3b5c8d4b48aeb6e019b7cc3758cfcc9bed0b219cfd7.png" />
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<p>There is a lot more that you can do with outputs (such as including interactive outputs)
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with your book. For more information about this, see <a class="reference external" href="https://jupyterbook.org">the Jupyter Book documentation</a></p>
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