Remove Demo Remove Natural Language Processing Remove Supervised Learning
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5 Jobs That Will Use Prompt Engineering in 2023

ODSC - Open Data Science

Natural Language Processing Engineer Natural Language Processing Engineers who specialize in prompt engineering are linguistic architects when it comes to AI communication. As AI models become more sophisticated and versatile, the demand for tailored, context-aware interactions grows.

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What it’s Like to be a Prompt Engineer

ODSC - Open Data Science

They read research papers, watch demos, attend conferences, and participate in online forums. Depending on the position, and company, it can require a strong understanding of natural language processing, computer science, linguistics, and software engineering.

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The Ascent of ChatGPT

ODSC - Open Data Science

Since its release on November 30, 2022 by OpenAI , the ChatGPT public demo has taken the world by storm. It is the latest in the research lab’s lineage of large language models using Generative Pre-trained Transformer (GPT) technology. ChatGPT is a next-generation language model (referred to as GPT-3.5) Google-killer?

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SyntaxNet in context: Understanding Google's new TensorFlow NLP model

Explosion

SyntaxNet provides an important module in a natural language processing (NLP) pipeline such as spaCy. The thing that’s really significant is how quickly the speed and accuracy of natural language processing technologies is advancing. It already did. But I definitely think there’s still much more to come.

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Retrieval augmented generation (RAG): a conversation with its creator

Snorkel AI

As humans, we learn a lot of general stuff through self-supervised learning by just experiencing the world. Where we are right now in the field is that there’s been this kind of “demo disease,” as we call it at Contextual AI. Everybody wants to build a cool demo. Everybody wants to build a cool demo.

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Retrieval augmented generation (RAG): a conversation with its creator

Snorkel AI

As humans, we learn a lot of general stuff through self-supervised learning by just experiencing the world. Where we are right now in the field is that there’s been this kind of “demo disease,” as we call it at Contextual AI. Everybody wants to build a cool demo. Everybody wants to build a cool demo.

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How ChatGPT really works and will it change the field of IT and AI??—?a deep dive

Chatbots Life

Such models can also learn from a set of few examples The process of presenting a few examples is also called In-Context Learning , and it has been demonstrated that the process behaves similarly to supervised learning. Follow me on LinkedIn if you like my stories.

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