Mlearning.ai

JUNE 8, 2023

Vector Embeddings for Developers: The Basics | Pinecone Used geometry concept to explain what is vector, and how raw data is transformed to embedding using embedding model. Pinecone Used a picture of phrase vector to explain vector embedding. What are Vector Embeddings? using its Spectrogram ). All we need is the vectors for the words.

Machine Learning 52

Machine Learning BERT Neural Network OpenAI 52

The Stanford AI Lab Blog

MAY 31, 2022

Language Model Pretraining Language models (LMs), like BERT 1 and the GPT series 2 , achieve remarkable performance on many natural language processing (NLP) tasks. To achieve this, we first chunk each document into segments of roughly 256 tokens, which is half of the maximum BERT LM input length. Link-aware LM Pretraining.

BERT 40

BERT Natural Language Processing NLP Neural Network 40

Flipboard

MARCH 27, 2023

Project Structure Accelerating Convolutional Neural Networks Parsing Command Line Arguments and Running a Model Evaluating Convolutional Neural Networks Accelerating Vision Transformers Evaluating Vision Transformers Accelerating BERT Evaluating BERT Miscellaneous Summary Citation Information What’s New in PyTorch 2.0?

Neural Network 117

Neural Network Convolutional Neural Networks BERT Computer Vision 117

Bugra Akyildiz

DECEMBER 18, 2022

Before going further, a new announcement for embeddings also came from OpenAI: openai.com/blog/new-and-i… nnIt is cross-modal, and it is 1/500th of the price of the old embedding model DaVinci. ","username":"bugraa","name":"Bugra Dragon can be used as a drop-in replacement for BERT.

Neural Network 52

Neural Network ChatGPT Machine Learning Deep Learning 52

Bugra Akyildiz

FEBRUARY 5, 2023

Emergent abilities of Large Language Models paper and blog post talks about some of these emergent capabilities where emergent capabilities as abilities that are not present in small models but are present in larger models. Google has a post on Federated Learning and how it protects Privacy. Unified, open, and flexible.

Large Language Models 52

Large Language Models Neural Network Machine Learning BERT 52

Sebastian Ruder

AUGUST 15, 2021

" I've also written a longer blog post that provides a broader overview of different perspectives, challenges, and potential solutions to improve benchmarking in NLP. More recently, in 2022, Benjamin Marie has written additional posts where he analysed shortcomings in the MT evaluation of prominent papers. Mind Your Outliers!

NLP 52

NLP Explainability Neural Network Natural Language Processing 52

Jay Alammar

OCTOBER 3, 2022

V2 Nov 2022 : Updated images for more precise description of forward diffusion. Let’s start to look under the hood because that helps explain the components, how they interact, and what the image generation options/parameters mean. The released Stable Diffusion model uses ClipText (A GPT-based model ), while the paper used BERT.

Neural Network 98

Neural Network Explainability Computer Vision BERT 98

Heartbeat

NOVEMBER 17, 2023

Considerations for Choosing a Distance Metric for Text Embeddings: Scale or Magnitude : Embeddings from models like Word2Vec, FastText, BERT, and GPT are often normalized to unit length. In the context of this code, it seems to be applied to vectors by determining the proportion of differing vector elements. ", " *bd{2}-d{2}-d{4}b.*"])

Data Scientist 52

Data Scientist Deep Learning Algorithm LLM 52

Heartbeat

JANUARY 9, 2024

LLMs received a lot of media attention when ChatGPT was released in December 2022. BERT and GPT are examples. Editorially independent, Heartbeat is sponsored and published by Comet, an MLOps platform that enables data scientists & ML teams to track, compare, explain, & optimize their experiments.

Large Language Models 52

Large Language Models Natural Language Processing LLM Machine Learning 52

ODSC - Open Data Science

FEBRUARY 14, 2023

Since its release on November 30, 2022 by OpenAI , the ChatGPT public demo has taken the world by storm. Some examples of large language models include GPT (Generative Pre-training Transformer), BERT (Bidirectional Encoder Representations from Transformers), and RoBERTa (Robustly Optimized BERT Approach).

ChatGPT 124

ChatGPT Large Language Models OpenAI Conversational AI 124

Sebastian Ruder

JANUARY 24, 2022

6] such as W2v-BERT [7] as well as more powerful multilingual models such as XLS-R [8]. Consequently, 2021 saw much discussion of best practices and ways in which we can reliably evaluate such models going forward, which I cover in this blog post. In speech, new models have been built based on wav2vec 2.0 [6] Why is it important?  

NLP 52

NLP ML BERT Computational Linguistics 52

Explosion

MAY 17, 2023

In 2014 I started working on spaCy , and here’s an excerpt of how I explained the motivation for the library: Computers don’t understand text. In my opinion the best things to read on this are articles from when the developments were relatively fresh, such as Sebastian Ruder’s 2018 blog post NLP’s ImageNet moment has finally arrived.

LLM 135

LLM NLP Large Language Models OpenAI 135