<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>LLM on STEM to STEAM</title><link>https://adamfermier.github.io/madsciguys/tags/llm/</link><description>Recent content in LLM on STEM to STEAM</description><generator>Hugo</generator><language>en</language><atom:link href="https://adamfermier.github.io/madsciguys/tags/llm/index.xml" rel="self" type="application/rss+xml"/><item><title>Artificial Intelligence</title><link>https://adamfermier.github.io/madsciguys/docs/4-arts/pharma/introduction/ai/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://adamfermier.github.io/madsciguys/docs/4-arts/pharma/introduction/ai/</guid><description>&lt;p&gt;There has been a lot of hype around AI and pharma - how it can reduce costs and remove a lot of manual labor that for sometime was always seen as necessary human activities, that is writing. But now with large language models, AI can really start eroding away at those manual human tasks and launch us into the Industry 5.0 mentality of workers with AI assistance to do their jobs.&lt;/p&gt;</description></item><item><title>Ontological Semantics</title><link>https://adamfermier.github.io/madsciguys/docs/4-arts/knowledge-management/ontological-semantics/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://adamfermier.github.io/madsciguys/docs/4-arts/knowledge-management/ontological-semantics/</guid><description>&lt;h2 id="architecture-of-ontological-semantics"&gt;Architecture of Ontological Semantics&lt;a class="td-heading-self-link" href="#architecture-of-ontological-semantics"&gt;#&lt;/a&gt;&lt;/h2&gt;
&lt;p&gt;The key components required to build a knowledge framework leveraging Ontological Semantics — the theoretical grounding that has enabled the current field of Large Language Models — which help us create knowledge out of existing sources in a systematic manner.&lt;/p&gt;
&lt;pre tabindex="0"&gt;&lt;code class="language-plantuml" data-lang="plantuml"&gt;@startuml
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skinparam component {
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 BorderColor #2980B9
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skinparam database {
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title Architecture of Ontological Semantics

package &amp;#34;Static Knowledge Sources&amp;#34; {
 database &amp;#34;Ontology\n(World Model)&amp;#34; as ONT
 database &amp;#34;Fact Repository\n(Domain Facts)&amp;#34; as FACT
 database &amp;#34;Lexicon\n(Word Forms &amp;amp; Meanings)&amp;#34; as LEX
 database &amp;#34;Onomasticon\n(Named Entities)&amp;#34; as ONOM
}

component &amp;#34;Knowledge Representation\nLanguage&amp;#34; as KRL

rectangle &amp;#34;Semantic Analyzer\n(Large Language Model)&amp;#34; as LLM

rectangle &amp;#34;Use Cases&amp;#34; as UC {
 component &amp;#34;Text Summarization&amp;#34; as TS
 component &amp;#34;Question &amp;amp; Answering&amp;#34; as QA
 component &amp;#34;AI Agents&amp;#34; as AG
}

ONT --&amp;gt; KRL : &amp;#34;defines concepts&amp;#34;
FACT --&amp;gt; KRL : &amp;#34;instantiates&amp;#34;
LEX --&amp;gt; KRL : &amp;#34;maps words → meaning&amp;#34;
ONOM --&amp;gt; KRL : &amp;#34;resolves named entities&amp;#34;

KRL --&amp;gt; LLM : &amp;#34;structured meaning\nrepresentation&amp;#34;

LLM --&amp;gt; TS
LLM --&amp;gt; QA
LLM --&amp;gt; AG
@enduml
&lt;/code&gt;&lt;/pre&gt;&lt;hr&gt;
&lt;h2 id="the-four-static-knowledge-sources"&gt;The Four Static Knowledge Sources&lt;a class="td-heading-self-link" href="#the-four-static-knowledge-sources"&gt;#&lt;/a&gt;&lt;/h2&gt;
&lt;h3 id="ontology--the-world-model"&gt;Ontology — the World Model&lt;a class="td-heading-self-link" href="#ontology--the-world-model"&gt;#&lt;/a&gt;&lt;/h3&gt;
&lt;p&gt;The ontology defines the concepts that exist in a domain and the relationships between them. It is the &lt;strong&gt;schema&lt;/strong&gt; of the knowledge graph: what nodes (concepts) and edge types (relationships) are valid. Without an ontology, a knowledge base is just a bag of facts with no shared meaning.&lt;/p&gt;</description></item></channel></rss>