Parsing Irregular Spreadsheet Tables in Humanitarian Datasets (with Some Help from GPT-3)
Processing Irregular Excel Tables Without Using Hard-coded Rules- 24447Murphy ≡ DeepGuide
Analyzing Humanitarian Data Unstructured Excel tables with ChatGPT Code Interpreter
Some Initial Exploration with Code Interpreter- 21763Murphy ≡ DeepGuide
Researching a Humanitarian Disaster Situation Report Chatbot – Using GPT-4-Turbo and full-cont
Exploring a Brute Force Technique for Information Retrieval- 26570Murphy ≡ DeepGuide
Predicting metadata for Humanitarian datasets with LLMs part 2 – An alternative to fine-tuning
Using LLM prompting for tagging metadata on humanitarian datasets- 28467Murphy ≡ DeepGuide
Preparing for Climate Change with an AI Assistant
Simplifying complicated data through conversation- 25576Murphy ≡ DeepGuide
Reframing LLM ‘Chat with Data': Introducing LLM-Assisted Data Recipes
A conversational data analysis pattern for increased transparency and safety with reduced costs- 21275Murphy ≡ DeepGuide
A Humanitarian Crises Situation Report AI Assistant: Exploring LLMOps with Prompt Flow
Exploring some techniques for safe deployment of LLM solutions- 28743Murphy ≡ DeepGuide
We look at an implementation of the HyperLogLog cardinality estimati
Using clustering algorithms such as K-means is one of the most popul
Level up Your Data Game by Mastering These 4 Skills
Learn how to create an object-oriented approach to compare and evalu
When I was a beginner using Kubernetes, my main concern was getting
Tutorial and theory on how to carry out forecasts with moving averag