machine learning

BOULDER, COLORADO! I’m hosting a small meetup tonight, June thirteenth, at West End Tavern from 6-8pm. Drop in for casual conversation about AI, emerging tech, e/acc, or simply to say hello! RSVP...

guarantees of retrieval-augmented generation (RAG) is that it allows AI systems to reply questions using up-to-date or domain-specific information, without retraining the model. But most RAG pipelines still treat documents and knowledge as...

Good morning. It’s Wednesday, June eleventh.On this present day in tech history: In 1978Intel launched the 8086a 16-bit processor that became the inspiration of the x86 architecture. Adopted in the primary IBM PCs,...

Sponsored by Good morning. It’s Monday, June ninth.On at the present time in tech history: In 1986the Pittsburgh Supercomputer Center was established to support the National Science Foundation's NSFNET, a precursor...

systems powered by large language models (LLMs), are rapidly reshaping how we construct software and solve problems. Once confined to narrow chatbot use cases or for content generation, they at the moment are...

machine learning algorithms can’t handle categorical variables. But decision trees (DTs) can. Classification trees don’t require a numerical goal either. Below is an illustration of a tree that classifies a subset of Cyrillic...

Intro This project is about recuperating zero-shot Classification of images and text using CV/LLM models without spending money and time fine-tuning in training, or re-running models in inference. It uses a novel dimensionality reduction technique...

is magical — until you’re stuck trying to come to a decision which model to make use of in your dataset. Do you have to go along with a random forest or logistic regression? What...