Sean Ryan – Medium

Sean Ryan

Sean Ryan

Preparing a combined toxic/harmful-prompt/neutral dataset for classification training

In order to train a classifier to flag user prompts as toxic or harmful (for example, handling if user asks an AI to recommend how to hack…

Jun 13

Preparing a combined toxic/harmful-prompt/neutral dataset for classification training

Jun 13

Sean Ryan

Efficiently flag toxic or harmful texts and prompts: create a simple text based classifier via the…

Identifying harmful or toxic prompts is obviously important to avoid an AI service such as an LLM generating problematic content. Whilst…

Jun 9

Efficiently flag toxic or harmful texts and prompts: create a simple text based classifier via the…

Jun 9

Sean Ryan

Batch summarize and translate docs via OpenAI or a local LLM for privacy: Introducing yet another…

An obvious application of LLMs is to summarize and translate text — so already we have quite a few command line tools (such as…

Jun 6

Batch summarize and translate docs via OpenAI or a local LLM for privacy: Introducing yet another…

Jun 6

Sean Ryan

EPE (Extract-Predict-Evaluate): a pipeline architecture for evaluating AI Services

EPE (pronounced ‘E.P.’) is a simple pipeline architecture for objectively evaluating AI performance across model versions and…

May 29

EPE (Extract-Predict-Evaluate): a pipeline architecture for evaluating AI Services

May 29

Sean Ryan

LLM Reliability: JSON vs YAML

Recently there have been several articles pointing out that as an LLM output format, YAML is both cheaper and faster to generate. This…

May 24

LLM Reliability: JSON vs YAML

May 24

Sean Ryan

Reduce LLM costs and increase speed: consider switching to YAML instead of JSON

In recent years, JSON (JavaScript Object Notation) has become a go-to data format for transferring data, for example when calling a web…

May 21

Reduce LLM costs and increase speed: consider switching to YAML instead of JSON

May 21

Sean Ryan

LLMs and genai: Is the LLM emperor in need of more clothing? Enhancements and Mitigations

The promise: Knowledge workers made more productive, or even replaced, by genai

Apr 28

LLMs and genai: Is the LLM emperor in need of more clothing? Enhancements and Mitigations

Apr 28

Sean Ryan

Bare bones LLM integration via Function Calling

Larger LLMs can be integrated into an existing system (for example a Home Automation system) via Function Calling - via a bare bones…

Apr 14

Bare bones LLM integration via Function Calling

Apr 14

Sean Ryan

Using an LLM to document a Python code base: a scripted approach

Documenting software is a chore often left undone or incomplete, since it is not a functional requirement, and adds overhead to…

Mar 17

Using an LLM to document a Python code base: a scripted approach

Mar 17

Sean Ryan

Generating test data using Mistral-7B LLM: a hybrid approach

Test data is important for software development, to be able to test the software without exposing customer or IP sensitive data to too many…

Mar 9

Generating test data using Mistral-7B LLM: a hybrid approach

Mar 9

Sean Ryan

Sean Ryan

Versatile and creative full stack developer, tackling UI and data challenges to delight the user. Passionate about UX, clean architecture and machine learning.

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