Snorkel AI

MAY 25, 2023

BERT, the first breakout large language model In 2019, a team of researchers at Goole introduced BERT (which stands for bidirectional encoder representations from transformers). By making BERT bidirectional, it allowed the inputs and outputs to take each others’ context into account. BERT), or consist of both (e.g.,

Large Language Models 52

Large Language Models BERT Neural Network LLM 52

AWS Machine Learning Blog

MAY 31, 2023

Actually, you can develop such a system using state-of-the-art language models and a few lines of Python. In 2018, BERT-large made its debut with its 340 million parameters and innovative transformer architecture, setting the benchmark for performance on NLP tasks. Each question should have 4 options.

Automation 72

Automation Python Prompt Engineer Prompt Engineering 72

Chatbots Life

MAY 12, 2023

As everything is explained from scratch but extensively I hope you will find it interesting whether you are NLP Expert or just want to know what all the fuss is about. We will discuss how models such as ChatGPT will affect the work of software engineers and ML engineers.

ChatGPT 100

ChatGPT Software Engineer NLP Prompt Engineer 100

Explosion

MAY 17, 2023

But if you’re working on the same sort of Natural Language Processing (NLP) problems that businesses have been trying to solve for a long time, what’s the best way to use them? However, LLMs are not a direct solution to most of the NLP use-cases companies have been working on. That’s definitely new.

LLM 135

LLM NLP Large Language Models OpenAI 135

Unite.AI

SEPTEMBER 20, 2023

We'll also walk through the essential features of Hugging Face, including pipelines, datasets, models, and more, with hands-on Python examples. Transformers in NLP In 2017, Cornell University published an influential paper that introduced transformers. These are deep learning models used in NLP.

LLM 342

LLM BERT NLP Python 342

AWS Machine Learning Blog

APRIL 17, 2023

Prompt engineering Prompt engineering refers to efforts to extract accurate, consistent, and fair outputs from large models, such text-to-image synthesizers or large language models. For more information, refer to EMNLP: Prompt engineering is the new feature engineering.

Prompt Engineer 83

Prompt Engineer Prompt Engineering Deep Learning Large Language Models 83

Unite.AI

AUGUST 8, 2023

These advanced AI deep learning models have seamlessly integrated into various applications, from Google's search engine enhancements with BERT to GitHub’s Copilot, which harnesses the capability of Large Language Models (LLMs) to convert simple code snippets into fully functional source codes. How Are LLMs Used?

Generative AI 243

Generative AI ChatGPT Neural Network Convolutional Neural Networks 243

AWS Machine Learning Blog

NOVEMBER 1, 2023

TGI is implemented in Python and uses the PyTorch framework. accuracy on the development set, while its counterpart bert-base-uncased boasts an accuracy of 92.7%. Grounding DINO excels as a zero-shot detector, adeptly creating high-quality boxes and labels using free-form text prompts. It’s open-source and available on GitHub.

Auto-classification 97

Auto-classification LLM Auto-complete Generative AI 97