In this episode, we discuss more of the technical aspects of LLM implementation in healthcare, including the following topics:
<ul class="ul1"><li class="li1">Embeddings</li>
<li class="li1">Retrieval augmented generation (RAG)</li>
<li class="li1">Fine tuning</li>
<li class="li1">Low-Rank Adaptation (LoRA)</li>
<li class="li1">Small models</li>
<li class="li1">Quantisation</li>
<li class="li1">Encoder and decoder models</li>
<li class="li1">Multimodal transformers</li>
</ul>
Oh my!
 
<a href='https://medicalattention.ai/'>Episodes</a> | <a href='https://x.com/medic_attention'>Twitter</a> | <a href='mailto:info@medicalattention.ai'>info@medicalattention.ai</a>

In this episode, we discuss more of the technical aspects of LLM implementation in healthcare, including the following topics: Embeddings Retrieval augmented generation (RAG) Fine tuning Low-Rank Adaptation (LoRA) Small models Quantisation Encoder and decoder models Multimodal transformers Oh my! Episodes | Twitter | info@medicalattention.ai

In this episode, we discuss more of the technical aspects of LLM implementation in healthcare, including the following topics:
<ul><li>Embeddings</li>
<li>Retrieval augmented generation (RAG)</li>
<li>Fine tuning</li>
<li>Low-Rank Adaptation (LoRA)</li>
<li>Small models</li>
<li>Quantisation</li>
<li>Encoder and decoder models</li>
<li>Multimodal transformers</li>
</ul>
Oh my!
&nbsp;
<a href="https://medicalattention.ai/" rel="noopener noreferrer">Episodes</a> | <a href="https://x.com/medic_attention" rel="noopener noreferrer">Twitter</a> | <a href="mailto:info@medicalattention.ai" rel="noopener noreferrer">info@medicalattention.ai</a>&nbsp;&nbsp;

Ep.5: Pushed to the LLM-it

Medical attention is a podcast about artificial intelligence (AI) in medicine for busy people working in health. We bring you clinically relevant updates from the world of AI so you know how it will impact your patients and work.

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Ep.5: Pushed to the LLM-it

Ep.5: Pushed to the LLM-it