Remove 11 model-explainability
article thumbnail

2021 Data/AI Salary Survey

O'Reilly Media

In June 2021, we asked the recipients of our Data & AI Newsletter to respond to a survey about compensation. There was a lot of uncertainty about stability, particularly at smaller companies: Would the company’s business model continue to be effective? C++, C#, and C were further back in the list (12%, 12%, and 11%, respectively).

AI 145
article thumbnail

Fast and cost-effective LLaMA 2 fine-tuning with AWS Trainium

AWS Machine Learning Blog

Large language models (LLMs) have captured the imagination and attention of developers, scientists, technologists, entrepreneurs, and executives across several industries. About the Llama 2 model Similar to the previous Llama 1 model and other models like GPT, Llama 2 uses the Transformer’s decoder-only architecture.

professionals

Sign Up for our Newsletter

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

article thumbnail

Finding the Words to Say: Hidden State Visualizations for Language Models

Jay Alammar

By visualizing the hidden state between a model's layers, we can get some clues as to the model's "thought process". Figure: Finding the words to say After a language model generates a sentence, we can visualize a view of how the model came by each word (column). Each row is a model layer. Layer 0 is at the top.

BERT 72
article thumbnail

ML and NLP Research Highlights of 2021

Sebastian Ruder

2021) 2021 saw many exciting advances in machine learning (ML) and natural language processing (NLP). The model is pre-trained on diverse multilingual speech data using a self-supervised wav2vec 2.0-style The trained model can then be fine-tuned on different speech tasks (Babu et al., style loss. What happened?  

NLP 52
article thumbnail

Explainable AI and ChatGPT Detection

Mlearning.ai

Entrepreneurs began to think of potential business ideas around generative text models. In this article, I am to break down some of these issues around model-based chatbot detection. First, I’ll address some of the issues that simply stem from model inadequacies and can be fixed with more training and tuning.

article thumbnail

Understanding BERT

Mlearning.ai

Pre-training of Deep Bidirectional Transformers for Language Understanding BERT is a language model that can be fine-tuned for various NLP tasks and at the time of publication achieved several state-of-the-art results. Masked Language Model -III.3.2 Preliminaries: Transformers and Unsupervised Transfer Learning II.1 1 Architecture III.2

BERT 52
article thumbnail

Introduction to Autoencoders

Flipboard

Dimensionality Reduction Feature Learning Anomaly Detection Denoising Images Image Inpainting Generative Modeling Recommender Systems Sequence-to-Sequence Learning Image Segmentation How Are Autoencoders Different from GANs? This model was created by researchers from the University of Cambridge’s Computer Vision Group.