AWS Machine Learning Blog

JANUARY 7, 2025

The solution proposed in this post relies on LLMs context learning capabilities and prompt engineering. When using the FAISS adapter, translation units are stored into a local FAISS index along with the metadata. The request is sent to the prompt generator. You should see a noticeable increase in the quality score.

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Large Language Models Prompt Engineer Prompt Engineering Metadata 97

Marktechpost

MAY 30, 2024

Google plays a crucial role in advancing AI by developing cutting-edge technologies and tools like TensorFlow, Vertex AI, and BERT. Inspect Rich Documents with Gemini Multimodality and Multimodal RAG This course covers using multimodal prompts to extract information from text and visual data and generate video descriptions with Gemini.

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Artificial Intelligence Artificial Intelligence BERT Computer Vision 130

Unite.AI

SEPTEMBER 25, 2023

An illustration of the pretraining process of MusicLM: SoundStream, w2v-BERT, and Mulan | Image source: here Moreover, MusicLM expands its capabilities by allowing melody conditioning.

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Generative AI Deep Learning Algorithm AI 291

Unite.AI

JANUARY 23, 2024

Prompt engineering is crucial to steering LLMs effectively. Techniques like Word2Vec and BERT create embedding models which can be reused. BERT produces deep contextual embeddings by masking words and predicting them based on bidirectional context. LLMs utilize embeddings to understand word context.

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Large Language Models Prompt Engineer Prompt Engineering LLM 100

AWS Machine Learning Blog

JUNE 25, 2024

Advantages of adopting generative approaches for NLP tasks For customer feedback analysis, you might wonder if traditional NLP classifiers such as BERT or fastText would suffice. Operational efficiency Uses prompt engineering, reducing the need for extensive fine-tuning when new categories are introduced.

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Automation Prompt Engineer Prompt Engineering Categorization 116

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 Engineering Prompt Engineer Python NLP 245

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.

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Large Language Models Prompt Engineer Prompt Engineering Neural Network 52