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ChatGPT & Advanced Prompt Engineering: Driving the AI Evolution

Unite.AI

OpenAI has been instrumental in developing revolutionary tools like the OpenAI Gym, designed for training reinforcement algorithms, and GPT-n models. Prompt design and engineering are growing disciplines that aim to optimize the output quality of AI models like ChatGPT. Imagine you're trying to translate English to French.

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Text-to-Music Generative AI : Stability Audio, Google’s MusicLM and More

Unite.AI

Initially, the attempts were simple and intuitive, with basic algorithms creating monotonous tunes. These deep-learning algorithms dissect individual preferences based on various musical elements such as tempo and mood to craft personalized song suggestions. Creating music using artificial intelligence began several decades ago.

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Generative Everything: An Exploration of Breakthroughs in 2023, Impacts, and Future Insights Across Industries with AI

Unite.AI

By utilizing machine learning algorithms , it produces new content, including images, text, and audio, that resembles existing data. Another breakthrough is the rise of generative language models powered by deep learning algorithms. Generative AI is an evolving field that has experienced significant growth and progress in 2023.

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Must-Have Prompt Engineering Skills for 2024

ODSC - Open Data Science

The role of prompt engineer has attracted massive interest ever since Business Insider released an article last spring titled “ AI ‘Prompt Engineer Jobs: $375k Salary, No Tech Backgrund Required.” It turns out that the role of a Prompt Engineer is not simply typing questions into a prompt window.

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How To Make a Career in GenAI In 2024

Towards AI

Black box algorithms such as xgboost emerged as the preferred solution for a majority of classification and regression problems. The introduction of attention mechanisms has notably altered our approach to working with deep learning algorithms, leading to a revolution in the realms of computer vision and natural language processing (NLP).

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Generative AI use cases for the enterprise

IBM Journey to AI blog

Generative AI uses advanced machine learning algorithms and techniques to analyze patterns and build statistical models. The quality of outputs depends heavily on training data, adjusting the model’s parameters and prompt engineering, so responsible data sourcing and bias mitigation are crucial.

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A Guide to Mastering Large Language Models

Unite.AI

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.