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AI & Quantum Future Fit

Be part of our journey to help you become AI and Quantum technology future ready with our podcasts, and interesting content we find across the Internet.

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Open Source Large Language Models

Meta's Llama 3

Meta’s Llama 3, the next iteration of the open-access Llama family, is now released and available at Hugging Face.

Llama 3 comes in two sizes: 8B for efficient deployment and development on consumer-size GPU, and 70B for large-scale AI native applications. Both come in base and instruction-tuned variants. In addition to the 4 models, a new version of Llama Guard was fine-tuned on Llama 3 8B and is released as Llama Guard 2 (safety fine-tune).

General Learning Materials

Introduction to Generative AI Learning Path by Google Cloud

This learning path provides an overview of generative AI concepts, from the fundamentals of large language models to responsible AI principles.

General Learning Materials

Generative AI Fundamentals by Microsoft Azure

Take this learning path to get started with generative AI. In it, you'll:

  • Understand how large language models form the foundation of generative AI

  • Describe how Azure OpenAI Service provides access to the latest generative AI technology

  • Understand how generative AI applications, such as copilots, support efficiencies

  • Describe how prompts and responses can be fine-tuned

  • Describe how Microsoft's responsible AI principles drive ethical AI advancements

General Learning Materials

Quantum Fundamentals by

Q-CTRL

Dive in to discover the fundamental concepts of quantum physics powering the most advanced technology of the 21st century.

General Learning Materials

Fundamentals of Quantum Algorithms by IBM

This unit explores computational advantages of quantum information, including what we can do with quantum computers and their advantages over classical computers. The unit begins with quantum query algorithms, which offer simple proof of concept demonstrations for quantum algorithms, and then moves on to quantum algorithms for problems including integer factorization and unstructured search.

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