Remove topics online-food
article thumbnail

Meet the winners of the Pale Blue Dot challenge

DrivenData Labs

Steve Crawford, Senior Program Executive for Scientific Data and Computing at NASA Background ¶ Our world is facing many urgent challenges, such as climate change, water insecurity, and food insecurity. These data sources spanned an impressive range of topics and formats. What motivated you to choose this topic?

Power BI 264
article thumbnail

Is ChatGPT Coming for Your Kitchen?

Flipboard

It wins mainly against food chains, and occasionally other recipes, because it throws in more complex ingredients. Mainly food chains. I think some of it has to do with actually cooking it at home, and giving attention to the food, versus just assembling the food at a fast food chain.

AI 123
professionals

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

How I Leveraged the Alpaca Dataset to Fine-Tune the Llama2 Model Based On Contrastive/Few-Shot…

Heartbeat

Image Src In this article, I will explain how I leveraged the industry standard Alpaca dataset towards building a quality dataset for fine-tuning food-based LLMs. These 52K instructions span different domains such as text summarization, fashion, maths, food, etc., And I wanted to build an LLM about the 'food' domain.

ML 52
article thumbnail

10 Spectacular Big Data Sources to Streamline Decision-making

Smart Data Collective

We are living at a time when there is heavy reliance on big data, which often comes from online information. Due to the benefits online data provides, you should strive even more to find or share factual information. For any data you need covering health topics, you will readily find it here. HealthData.gov. Sounds familiar?

Big Data 130
article thumbnail

Open Earth Observation Data for the Pale Blue Dot: Visualization Challenge

DrivenData Labs

Our world is facing many urgent challenges, like climate change, water insecurity, and food insecurity. This blog post outlines some key public Earth observation datasets that are useful for working on climate change, water insecurity, and food insecurity. Navigating all of the available data sources can be very daunting.

Python 162
article thumbnail

Introduction to Causality in Machine Learning

PyImageSearch

Home Table of Contents Introduction to Causality in Machine Learning Correlation and Causation Case Study 1: A “Marvelous” Problem Scenario 1: A Direct Cause Scenario 2: Reversing the Cause and Effect Scenario 3: Investigating a Hidden Cause Causal Thinking Case Study 2: Food App Conundrum Quiz Time! And that’s exactly what I do.

article thumbnail

The best Reddit alternatives worth trying

Dataconomy

In the quest for the best Reddit alternative, numerous online platforms have come to light, each with their own unique features and communities. Just like Reddit, these sites offer spaces for open dialogue, discovery, and a sharing of ideas on countless topics. This interaction helps enhance your standing within the community.

91