Logo

The Data Daily

Images Powered by Shutterstock
Characterizing Emergent Phenomena in Large Language Models

Characterizing Emergent Phenomena in Large Language Models

The field of natural language processing (NLP) has been revolutionized by language models trained on large amounts of text data. Scaling up the size of language models often...

GitHub - cohere-ai/sandbox-topically: Topic modeling helpers using managed language models from Cohere. Name text clusters using large GPT models.

GitHub - cohere-ai/sandbox-topically: Topic modeling helpers using managed language models from Cohere. Name text clusters using large GPT models.

Topic modeling helpers using managed language models from Cohere. Name text clusters using large GPT models. Insights cohere-ai/sandbox-topically This commit does not belong to...

Vitalik Buterin on better ways to fund public goods, the blockchain’s failures so far, & how it could yet change the world

Vitalik Buterin on better ways to fund public goods, the blockchain’s failures so far, & how it could yet change the world

5 Related episodes Bees have evolved very clever decentralised mechanisms for aggregating knowledge and making collective decisions, for example when choosing where to build a...

Metatrend #3: AI-Human Collaboration Will Skyrocket Across All Professions

Metatrend #3: AI-Human Collaboration Will Skyrocket Across All Professions

How will YOU collaborate with AI to improve your work and business? This third Metatrend (out of 20) is all about AI-human collaboration. The rise of “AI as a Service” (AIaaS)...

GitHub - karpathy/minGPT: A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training

GitHub - karpathy/minGPT: A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training

A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training License Insights karpathy/minGPT This commit does not belong to any branch on...

How I learn machine learning

How I learn machine learning

“Almost all advice is contextual, yet it is rarely delivered with any context”, writes Justin in this post of things he’s learned in 20 years as a developer. The context for...

Do Modern ImageNet Classifiers Accurately Predict Perceptual Similarity?

Do Modern ImageNet Classifiers Accurately Predict Perceptual Similarity?

The task of determining the similarity between images is an open problem in computer vision and is crucial for evaluating the realism of machine-generated images. Though there...

What are the Best Ways to Solve a Machine-Learning Problem?

What are the Best Ways to Solve a Machine-Learning Problem?

Wanna become a data scientist within 3 months, and get a guaranteed job? Then you need tocheck this out! Solving machine learning problems can be complicated, especially if...

Data Engineer Skills for 2022

Data Engineer Skills for 2022

Δ 8. DevOps. A year ago, we recognized this key foundational piece for the Data Engineers knowledge as part of programming. This year it is broken into its own multi-piece area....

Machines of Loving Understanding

Machines of Loving Understanding

Brautigan’s poem inspires and terrifies me at the same time. It’s a reminder of how creepy a world full of devices that blur the line between life and objects could be, but...

GitHub - mlverse/tfevents: Write events for TensorBoard

GitHub - mlverse/tfevents: Write events for TensorBoard

Write events for TensorBoard Insights mlverse/tfevents This commit does not belong to any branch on this repository, and may belong to a fork outside of the...

How To Start With Deep Learning using TensorFlow

How To Start With Deep Learning using TensorFlow

Machine Learning | AI | Data Science Step:1 Setup Your Anaconda Environment using VSCode Step:2 Now we will start working with FASHION-MNIST Dataset Fashion-MNIST is a dataset...