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IBM Granite

IBM Granite is a computer science topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand IBM Granite rather than just read about it. In short: IBM Granite is a series of decoder-only AI foundation models created by IBM. It was announced on September 7, 2023, and an initial paper was published 4 days later.

IBM Granite — main illustration
IBM Granite — illustration

Key takeaways

  • IBM Granite belongs to computer science; place it in that map before memorising details.
  • Learn the definition first, then one example that makes the definition concrete.
  • Connect IBM Granite to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of IBM Granite from memory before moving on to harder problems.

Reference excerpt

IBM Granite is a series of decoder-only AI foundation models created by IBM. It was announced on September 7, 2023, and an initial paper was published 4 days later. Initially intended for use in the IBM's cloud-based data and generative AI platform Watsonx along with other models, IBM opened the source code of some code models. Granite models are trained on datasets curated from Internet, academic publishings, code datasets, legal and finance documents.

Foundation models A foundation model is an AI model trained on broad data at scale such that it can be adapted to a wide range of downstream tasks. Granite's first foundation models were Granite.13b.instruct and Granite.13b.chat. The "13b" in their name comes from 13 billion, the amount of parameters they have as models, lesser than most of the larger models of the time. Later models vary from 3 to 34 billion parameters. On May 6, 2024, IBM released the source code of four variations of Granite Code Models under Apache 2, an open source permissive license that allows completely free use, modification and sharing of the software, and put them on Hugging Face for public use. According to IBM's own report, Granite 8b outperforms Llama 3 on several coding related tasks within similar range of parameters.

See also Mistral AI, a company that also provides open source models GPT LLaMA Cyc Gemini

References

External links [1]

GitHub page IBM Granite Playground

Illustrations

IBM Granite illustration
IBM Granite illustration

Worked examples

Example 1 — a first encounter with IBM Granite

Start with the simplest possible case. Write down what IBM Granite claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In computer science, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to IBM Granite before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about IBM Granite ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of IBM Granite

In research
IBM Granite appears in computer science research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry
Engineering practice reuses IBM Granite in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom
IBM Granite is common in secondary-school and first-year university syllabi. It links to neighbouring topics 2023 in artificial intelligence, 2023 software, Artificial neural networks, so understanding it makes those chapters shorter.
In everyday life
Look for IBM Granite outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.

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How to study IBM Granite in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what IBM Granite means in your own words.
  3. Compare your version with the excerpt and mark what you missed.
  4. Work through the three examples above with pen and paper.
  5. Explain IBM Granite out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is IBM Granite in simple terms?

IBM Granite is a series of decoder-only AI foundation models created by IBM. It was announced on September 7, 2023, and an initial paper was published 4 days later.

Why does IBM Granite matter?

Because it connects several computer science ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study IBM Granite?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on IBM Granite.

Tags

  • 2023 in artificial intelligence
  • 2023 software
  • Artificial neural networks
  • Generative pre-trained transformers
  • IBM software
  • Large language models
  • Open-source artificial intelligence
  • Software using the Apache license

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