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update GitHub Pages documentation site
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TheVinhLuong102 committed May 14, 2024
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Expand Up @@ -92,7 +92,7 @@ <h1><!-- markdownlint-disable MD013 MD043 --><a class="headerlink" href="#id1" t
<h1>OpenSSA: Small Specialist Agents<a class="headerlink" href="#openssa-small-specialist-agents" title="Link to this heading"></a></h1>
<section id="enabling-efficient-domain-specific-planning-and-reasoning-for-ai">
<h2>Enabling Efficient, Domain-Specific Planning and Reasoning for AI<a class="headerlink" href="#enabling-efficient-domain-specific-planning-and-reasoning-for-ai" title="Link to this heading"></a></h2>
<p>OpenSSA is an open-source framework for creating efficient, domain-specific Small Specialist AI agents (SSAs) that solve complex problems by incorporating advanced <em>Planning</em> and <em>Reasoning</em> capabilities.</p>
<p>OpenSSA is an open-source framework for creating efficient, domain-specific agents (SSAs) that solve complex problems by incorporating advanced <em>Planning</em> and <em>Reasoning</em> capabilities. Read more about our <a class="reference external" href="https://docs.google.com/document/d/1QY6UJjXs4YiSYR4ChRIdlPbeLKOXgneL_n5nB9Zfmiw/edit?usp=sharing">Agentic Framework here</a></p>
<p>SSAs tackle multi-step problems that require planning and reasoning beyond traditional language models. They apply OODA for deliberative reasoning (OODAR) and iterative, hierarchical task planning (HTP). This “System-2 Intelligence” breaks down complex tasks into manageable steps. SSAs make informed decisions based on domain-specific knowledge. With OpenSSA, create agents that process, generate, and reason about information. This makes them more effective and efficient in solving real-world challenges.</p>
</section>
<section id="planning-and-reasoning-with-htp-and-oodar">
Expand Down Expand Up @@ -122,12 +122,15 @@ <h3>Background Knowledge: Generic/None vs. Salient Domain Highlights (“Cheat S
<h2>Hierarchical Task Planning (HTP)<a class="headerlink" href="#hierarchical-task-planning-htp" title="Link to this heading"></a></h2>
<section id="why-htp">
<h3>Why HTP?<a class="headerlink" href="#why-htp" title="Link to this heading"></a></h3>
<ul>
<li><p>HTP makes complex task more solvable by breaking it down into sub-plans.</p>
<h3 class="rubric" id="how-is-htp-designed-in-openssa">How is HTP designed in OpenSSA?</h3>
</li>
<li><p>HTP has 2 main components:</p>
<ul class="simple">
<li><p>HTP makes complex task more solvable by breaking it down into sub-plans.</p></li>
</ul>
</section>
<section id="how-is-htp-designed-in-openssa">
<h3>How is HTP designed in OpenSSA?<a class="headerlink" href="#how-is-htp-designed-in-openssa" title="Link to this heading"></a></h3>
<ul class="simple">
<li><p>HTP has 2 main components:</p>
<ul>
<li><p><strong>Plan Creation</strong>: create sub-plans by either going broader (more sub-plans) or deeper (more sub-tasks)</p></li>
<li><p><strong>Plan Execution:</strong> (i) integrate multiple sub- and side-results into a combined conclusion; and (ii) roll up such conclusion to super/upper-nodes</p></li>
</ul>
Expand Down Expand Up @@ -173,6 +176,16 @@ <h3>Getting Started<a class="headerlink" href="#getting-started" title="Link to
</ol>
<p>Detailed tutorials and guides are available in our <a class="reference external" href="https://aitomatic.github.io/openssa">Documentation</a>.</p>
</section>
<section id="roadmap">
<h3>Roadmap<a class="headerlink" href="#roadmap" title="Link to this heading"></a></h3>
<ul class="simple">
<li><p>Llama3 being default model</p></li>
<li><p>Other types of planning beyond HTP being integrated</p></li>
<li><p>Custom reasoners</p></li>
<li><p>Facts, rules, heuristics as proper data structures (not just a knowledge text block)</p></li>
<li><p>Custom resources (web search, sensors, feeds)</p></li>
</ul>
</section>
<section id="contributing">
<h3>Contributing<a class="headerlink" href="#contributing" title="Link to this heading"></a></h3>
<p>We welcome contributions from the community!</p>
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