Unite.AI

AUGUST 28, 2023

Neural Networks & Deep Learning : Neural networks marked a turning point, mimicking human brain functions and evolving through experience. Systems like ChatGPT by OpenAI, BERT, and T5 have enabled breakthroughs in human-AI communication.

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Auto-complete ChatGPT Large Language Models AI 240

Heartbeat

AUGUST 2, 2023

Large language models, such as GPT-3 (Generative Pre-trained Transformer 3), BERT, XLNet, and Transformer-XL, etc., Transformer model used for Language-based tasks [ Source ] The encoder consists of a heap of identical layers, containing two sub-layers: a multi-head self-attention mechanism and a position-wise feed-forward neural network.

Large Language Models 52

Large Language Models Prompt Engineer Prompt Engineering OpenAI 52

Snorkel AI

FEBRUARY 13, 2024

The student model could be a simple model like logistic regression or a foundation model like BERT. link] With a little prompt engineering (encouraging the LLM to behave as an expert in banking and giving one example per label), the team boosted the PaLM 2’s F1 score to 69. How does knowledge distillation work?

LLM 52

LLM Data Scientist Neural Network Data Science 52

Snorkel AI

FEBRUARY 13, 2024

The student model could be a simple model like logistic regression or a foundation model like BERT. link] With a little prompt engineering (encouraging the LLM to behave as an expert in banking and giving one example per label), the team boosted the PaLM 2’s F1 score to 69. How does knowledge distillation work?

LLM 52

LLM Data Scientist Neural Network Data Science 52

deepsense.ai

FEBRUARY 6, 2024

This support set is presented to the neural network, and the expectation is for the network to correctly classify unseen examples of the newly introduced concept. Prompt engineering : the provided prompt plays a crucial role, especially when dealing with compound nouns. Text: The model accepts text prompts.

Prompt Engineer 82

Prompt Engineer Prompt Engineering NLP Computer Vision 82

Applied Data Science

DECEMBER 23, 2022

This year is intense: we have, among others, a new generative model that beats GANs , an AI-powered chatbot that discusses with more than 1 million people in a week and prompt engineering , a job that did not exist a year ago. To cover as many breakthroughs as possible we have broken down our review in four parts: ? What happened?

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Neural Network AI AI Data Science 52

Pickl AI

SEPTEMBER 21, 2023

Transformers, like BERT and GPT, brought a novel architecture that excelled at capturing contextual relationships in language. ChatGPT, like its predecessors, relies on a transformer-based neural network. This architecture enables the model to process and generate text in a hierarchical and context-aware manner.

ChatGPT 52

ChatGPT Conversational AI Natural Language Processing Chatbots 52

Snorkel AI

MAY 25, 2023

The potential of these enormous neural networks has both excited and frightened the public; the same technology that promises to help you digest long email chains also threatens to dethrone the essay as the default classroom assignment. All of this made it easy for researchers and practitioners to use BERT.

Large Language Models 52

Large Language Models BERT Neural Network LLM 52

Snorkel AI

MAY 25, 2023

The potential of these enormous neural networks has both excited and frightened the public; the same technology that promises to help you digest long email chains also threatens to dethrone the essay as the default classroom assignment. All of this made it easy for researchers and practitioners to use BERT.

Large Language Models 52

Large Language Models BERT Neural Network LLM 52

AssemblyAI

MAY 23, 2023

Neural Networks and Transformers What determines a language model's effectiveness? The performance of LMs in various tasks is significantly influenced by the size of their architectures, which are based on artificial neural networks. A simple artificial neural network with three layers.

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Large Language Models Neural Network LLM Chatbots 130

Unite.AI

AUGUST 4, 2023

In this article, we will delve deeper into these issues, exploring the advanced techniques of prompt engineering with Langchain, offering clear explanations, practical examples, and step-by-step instructions on how to implement them. Prompts play a crucial role in steering the behavior of a model.

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Prompt Engineer Prompt Engineering Python NLP 245

Mlearning.ai

JANUARY 17, 2024

350x: Application Areas , Companies, Startups 3,000+: Prompts , Prompt Engineering, & Prompt Lists 250+: Hardware, Frameworks , Approaches, Tools, & Data 300+: Achievements, Impacts on Society , AI Regulation, & Outlook 20x: What is Generative AI? Deep learning neural network.

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Generative AI Prompt Engineer Prompt Engineering Large Language Models 98

Snorkel AI

MARCH 2, 2023

It came to its own with the creation of the transformer architecture: Google’s BERT, OpenAI, GPT2 and then 3, LaMDA for conversation, Mina and Sparrow from Google DeepMind. We have adaptation, we have experimentation, and in the training and hyperparameter optimization phases, deploying, monitoring and managing, and prompt engineering.

Large Language Models 52

Large Language Models Prompt Engineer Prompt Engineering Neural Network 52

Snorkel AI

MARCH 2, 2023

It came to its own with the creation of the transformer architecture: Google’s BERT, OpenAI, GPT2 and then 3, LaMDA for conversation, Mina and Sparrow from Google DeepMind. We have adaptation, we have experimentation, and in the training and hyperparameter optimization phases, deploying, monitoring and managing, and prompt engineering.

Large Language Models 52

Large Language Models Prompt Engineer Prompt Engineering Neural Network 52

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.

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Prompt Engineer Prompt Engineering Deep Learning Large Language Models 78

Unite.AI

AUGUST 8, 2023

The Technologies Behind Generative Models Generative models owe their existence to deep neural networks, sophisticated structures designed to mimic the human brain's functionality. By capturing and processing multifaceted variations in data, these networks serve as the backbone of numerous generative models.

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