Sean RyanImproved genai via Combined Prompting Techniques: Multi-agents (chained prompts), Chain-of-Thought…Larger LLM applications such as database generators present challenges of complexity and quality. Prompt Engineering techniques can help to…Aug 9Aug 9
Sean RyanPoor Charlie’s Almanack Revisited: Applying Charlie Munger’s Psychological Insights to Software…A short series of articles presenting Charlie Munger’s framework of psychological tendencies that distort decision making, and applying the…Aug 7Aug 7
Sean RyanPoor Charlie’s Almanack Revisited: Applying Charlie Munger’s Psychological Insights to Software…A short series of articles presenting Charlie Munger’s framework of psychological tendencies that distort decision making, and applying the…Aug 3Aug 3
Sean RyanPoor Charlie’s Almanack Revisited: Applying Charlie Munger’s Psychological Insights to Software…A short series of articles presenting Charlie Munger’s framework of psychological tendencies that distort decision making, and applying the…Jul 31Jul 31
Sean RyanPoor Charlie’s Almanack Revisited: Applying Charlie Munger’s Psychological Insights to Software…A short series of articles presenting Charlie Munger’s framework of psychological tendencies that distort decision making, and applying the…Jul 26Jul 26
Sean RyanPreparing a combined toxic/harmful-prompt/neutral dataset for classification trainingIn 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 13Jun 13
Sean RyanEfficiently 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 9Jun 9
Sean RyanBatch 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 6Jun 6
Sean RyanEPE (Extract-Predict-Evaluate): a pipeline architecture for evaluating AI ServicesEPE (pronounced ‘E.P.’) is a simple pipeline architecture for objectively evaluating AI performance across model versions and…May 29May 29
Sean RyanLLM Reliability: JSON vs YAMLRecently there have been several articles pointing out that as an LLM output format, YAML is both cheaper and faster to generate. This…May 24May 24