Towards AI

FEBRUARY 3, 2024

My journey with AI Makerspace’s LLMOps cohort (learn more here) has been instrumental in shaping my approach to these topics. By Author In this post, you’ll learn about creating synthetic data, evaluating RAG pipelines using the Ragas tool, and understanding how various retrieval methods shape your RAG evaluation metrics.

AI 120

AI AI Database Machine Learning 120

How to Learn Machine Learning

APRIL 23, 2023

But it has a limitation: It cannot respond to abstract questions that demand detailed responses. It can provide exact information only for non-abstract questions. For instance, if they are asked an abstract question like, “What would be the essence of life?”

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence AI AI 52

DrivenData Labs

DECEMBER 10, 2023

Team / participant Features Models Data sources NASAPalooza Paper search, paper recommendation, doc upload, paper summarization, chatbot, people search, keyword extraction, topic trends, dataset analysis GPT-3.5 bge-small-en-v1.5 bge-small-en-v1.5 bge-small-en-v1.5

AI 147

AI AI Natural Language Processing Artificial Intelligence 147

Hacker News

FEBRUARY 2, 2023

The fifth one at first seemed quite mysterious—and somehow more abstract in its goals than the others: What story was the filmstrip on its cover telling? The closest it gets is a chapter on CP violation (AKA time-reversal violation)—a longtime favorite topic of mine—but from a very particle-physics point of view. Then the third.

Machine Learning 161

Machine Learning Machine Learning Algorithm Analytics 161

ML Review

MAY 3, 2018

This topic, when broached, has historically been a source of contention among linguists, neuroscientists and AI researchers. We will continue to experiment with scope and timelines, to understand how best to convey topics to the reader. Deep Learning est en train de mourir. Vive Differentiable Programming! [27]

Deep Learning 52

Deep Learning Deep Learning Natural Language Processing Machine Learning 52