Unite.AI

AUGUST 1, 2023

GPT-4: Prompt Engineering ChatGPT has transformed the chatbot landscape, offering human-like responses to user inputs and expanding its applications across domains – from software development and testing to business communication, and even the creation of poetry. Imagine you're trying to translate English to French.

Prompt Engineer 246

Prompt Engineer Prompt Engineering ChatGPT Convolutional Neural Networks 246

AWS Machine Learning Blog

JANUARY 7, 2025

The solution proposed in this post relies on LLMs context learning capabilities and prompt engineering. The following sample XML illustrates the prompts template structure: EN FR Prerequisites The project code uses the Python version of the AWS Cloud Development Kit (AWS CDK). The indexing process can take a few minutes.

Large Language Models 112

Large Language Models Prompt Engineer Prompt Engineering Metadata 112

Unite.AI

AUGUST 28, 2023

Systems like ChatGPT by OpenAI, BERT, and T5 have enabled breakthroughs in human-AI communication. Current Landscape of AI Agents AI agents, including Auto-GPT, AgentGPT, and BabyAGI, are heralding a new era in the expansive AI universe. Their primary focus is to minimize the need for human intervention in AI task completion.

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Auto-complete ChatGPT Large Language Models Neural Network 240

Marktechpost

APRIL 16, 2024

The book covers the inner workings of LLMs and provides sample codes for working with models like GPT-4, BERT, T5, LLaMA, etc. It explains the fundamentals of LLMs and generative AI and also covers prompt engineering to improve performance. The book covers topics like Auto-SQL, NER, RAG, Autonomous AI agents, and others.

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Large Language Models Auto-complete Prompt Engineer Prompt Engineering 103

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 Machine Learning 103

The MLOps Blog

SEPTEMBER 26, 2024

Effective mitigation strategies involve enhancing data quality, alignment, information retrieval methods, and prompt engineering. Self-attention is the mechanism where tokens interact with each other (auto-regressive) and with the knowledge acquired during pre-training. In 2022, when GPT-3.5

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LLM Prompt Engineer Prompt Engineering Auto-complete 72

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. Others, toward language completion and further downstream tasks. Then comes prompt engineering. People just basically try different prompts.

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Large Language Models Prompt Engineer Prompt Engineering Neural Network 52