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slobentanzer committed Feb 15, 2024
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4 changes: 2 additions & 2 deletions README.md
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# Output directory containing the formatted manuscript

The [`gh-pages`](https://github.com/biocypher/biochatter-paper/tree/gh-pages) branch hosts the contents of this directory at <https://biocypher.github.io/biochatter-paper/>.
The permalink for this webpage version is <https://biocypher.github.io/biochatter-paper/v/e0f5db3e66336eb8747054cb7d32b3c1edce029e/>.
The permalink for this webpage version is <https://biocypher.github.io/biochatter-paper/v/ccfa0d0db46d487019ff6a8a6ced67f18306f5e2/>.
To redirect to the permalink for the latest manuscript version at anytime, use the link <https://biocypher.github.io/biochatter-paper/v/freeze/>.

## Files
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## Source

The manuscripts in this directory were built from
[`e0f5db3e66336eb8747054cb7d32b3c1edce029e`](https://github.com/biocypher/biochatter-paper/commit/e0f5db3e66336eb8747054cb7d32b3c1edce029e).
[`ccfa0d0db46d487019ff6a8a6ced67f18306f5e2`](https://github.com/biocypher/biochatter-paper/commit/ccfa0d0db46d487019ff6a8a6ced67f18306f5e2).
16 changes: 8 additions & 8 deletions index.html
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<meta name="dc.date" content="2024-02-15" />
<meta name="citation_publication_date" content="2024-02-15" />
<meta property="article:published_time" content="2024-02-15" />
<meta name="dc.modified" content="2024-02-15T10:32:05+00:00" />
<meta property="article:modified_time" content="2024-02-15T10:32:05+00:00" />
<meta name="dc.modified" content="2024-02-15T10:33:39+00:00" />
<meta property="article:modified_time" content="2024-02-15T10:33:39+00:00" />
<meta name="dc.language" content="en-UK" />
<meta name="citation_language" content="en-UK" />
<meta name="dc.relation.ispartof" content="Manubot" />
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<meta name="citation_fulltext_html_url" content="https://biocypher.github.io/biochatter-paper/" />
<meta name="citation_pdf_url" content="https://biocypher.github.io/biochatter-paper/manuscript.pdf" />
<link rel="alternate" type="application/pdf" href="https://biocypher.github.io/biochatter-paper/manuscript.pdf" />
<link rel="alternate" type="text/html" href="https://biocypher.github.io/biochatter-paper/v/e0f5db3e66336eb8747054cb7d32b3c1edce029e/" />
<meta name="manubot_html_url_versioned" content="https://biocypher.github.io/biochatter-paper/v/e0f5db3e66336eb8747054cb7d32b3c1edce029e/" />
<meta name="manubot_pdf_url_versioned" content="https://biocypher.github.io/biochatter-paper/v/e0f5db3e66336eb8747054cb7d32b3c1edce029e/manuscript.pdf" />
<link rel="alternate" type="text/html" href="https://biocypher.github.io/biochatter-paper/v/ccfa0d0db46d487019ff6a8a6ced67f18306f5e2/" />
<meta name="manubot_html_url_versioned" content="https://biocypher.github.io/biochatter-paper/v/ccfa0d0db46d487019ff6a8a6ced67f18306f5e2/" />
<meta name="manubot_pdf_url_versioned" content="https://biocypher.github.io/biochatter-paper/v/ccfa0d0db46d487019ff6a8a6ced67f18306f5e2/manuscript.pdf" />
<meta property="og:type" content="article" />
<meta property="twitter:card" content="summary_large_image" />
<link rel="icon" type="image/png" sizes="192x192" href="https://manubot.org/favicon-192x192.png" />
Expand All @@ -188,9 +188,9 @@ <h1 class="title">A Platform for the Biomedical Application of Large Language Mo
</header>
<p><small><em>
This manuscript
(<a href="https://biocypher.github.io/biochatter-paper/v/e0f5db3e66336eb8747054cb7d32b3c1edce029e/">permalink</a>)
(<a href="https://biocypher.github.io/biochatter-paper/v/ccfa0d0db46d487019ff6a8a6ced67f18306f5e2/">permalink</a>)
was automatically generated
from <a href="https://github.com/biocypher/biochatter-paper/tree/e0f5db3e66336eb8747054cb7d32b3c1edce029e">biocypher/biochatter-paper@e0f5db3</a>
from <a href="https://github.com/biocypher/biochatter-paper/tree/ccfa0d0db46d487019ff6a8a6ced67f18306f5e2">biocypher/biochatter-paper@ccfa0d0</a>
on February 15, 2024.
</em></small></p>
<h2 id="authors">Authors</h2>
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<p>Despite technological advances, understanding biological and biomedical systems still poses major challenges <span class="citation" data-cites="195HIa77n 1AZn5l2ah">[<a href="#ref-195HIa77n" role="doc-biblioref">1</a>,<a href="#ref-1AZn5l2ah" role="doc-biblioref">2</a>]</span>.
We measure more and more data points with ever-increasing resolution to such a degree that their analysis and interpretation have become the bottleneck for their exploitation <span class="citation" data-cites="1AZn5l2ah">[<a href="#ref-1AZn5l2ah" role="doc-biblioref">2</a>]</span>.
One reason for this challenge may be the inherent limitation of human knowledge <span class="citation" data-cites="q5vfV9nk">[<a href="#ref-q5vfV9nk" role="doc-biblioref">3</a>]</span>: Even seasoned domain experts cannot know the implications of every gene, molecule, symptom, or biomarker.
In addition, biological events are context-dependent, for instance, with respect to a cell type or specific disease.</p>
In addition, biological events are context-dependent, for instance with respect to a cell type or specific disease.</p>
<p>Large Language Models (LLMs) of the current generation, in contrast, can access enormous amounts of knowledge, encoded (incomprehensibly) in their billions of parameters <span class="citation" data-cites="JIjeWPOb IzWFZmuQ 17lpGtuH5 fLS7kvml">[<a href="#ref-JIjeWPOb" role="doc-biblioref">4</a>,<a href="#ref-IzWFZmuQ" role="doc-biblioref">5</a>,<a href="#ref-17lpGtuH5" role="doc-biblioref">6</a>,<a href="#ref-fLS7kvml" role="doc-biblioref">7</a>]</span>.
Trained correctly, they can recall and combine virtually limitless knowledge from their training set.
ChatGPT has taken the world by storm, and many biomedical researchers already use LLMs in their daily work, for general as well as research tasks <span class="citation" data-cites="viLUfCLq ae7XiPvs wo7jyZHW">[<a href="#ref-viLUfCLq" role="doc-biblioref">8</a>,<a href="#ref-ae7XiPvs" role="doc-biblioref">9</a>,<a href="#ref-wo7jyZHW" role="doc-biblioref">10</a>]</span>.
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