Medical Attention

Ep.5: Pushed to the LLM-it

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!
 
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Ep.4: LLM LLMitations

In this episode, we discuss some concerns about LLM implementation in the healthcare setting, including the following topics:
More detail about hallucinations, issues with accuracy 
Difficulties of model evaluation
Concerns regarding bias and equity
Governance and monitoring of LLMs in a healthcare settings
 
Episodes | Twitter | info@medicalattention.ai  

Ep.3: Introduction to LLMs

Finally! We’re talking about large language models (LLMs) including ChatGPT. We discuss the following topics:
Brief explanation of transformer models and how they work including the attention mechanism and context window
Discuss a brief development of LLMs to this point
How LLMs are trained
Some limitations - privacy, accuracy, provenance
 
Episodes | Twitter | info@medicalattention.ai  

Ep.2: Neural networks in healthcare

In this episodes we give an overview of neural networks and how they’re used in healthcare. We'll be covering the following topics:
Definition of neural networks and a high level explanation of their structure
Overview of the development of neural networks and use in healthcare
How neural networks are currently used in medicine
Limitations and considerations for their use
 
Episodes | Twitter | info@medicalattention.ai  

Ep.1: Introduction to AI in healthcare

Welcome to Medical Attention. This episode is an introduction to artificial intelligence and machine learning for people in healthcare with no technical background.
 
Episodes | Twitter | info@medicalattention.ai