Master Chain-of-Thought Reasoning with IBM Granite 3.3-8b Instruct!
12Unlock the full potential of large language models (LLMs) by diving into IBM's latest tutorial on Chain-of-Thought (CoT) prompting using the powerful Granite 3.38b Instruct model. This hands-on guide walks you through enabling step-by-step reasoning in AI, allowing models to "think out loud" and tackle complex tasks with enhanced accuracy and transparency.
What You'll Learn:
— The fundamentals of CoT prompting and how it mirrors human-like reasoning.
— Setting up and utilizing the Granite 3.3 8B Instruct model for advanced reasoning tasks.
— Comparing standard prompting with CoT to understand performance improvements.
— Implementing CoT in your projects using Python and Replicate.
Whether you're an AI enthusiast, developer, or researcher, this tutorial equips you with the tools to enhance your AI models' reasoning capabilities.
🔗 Check out the full tutorial: https://www.ibm.com/think/tutorials/llm-chain-of-thought-reasoning-granite
🔗 Check out the GitHub notebook: https://github.com/ibm-granite-community/granite-snack-cookbook/blob/main/recipes/Intrinsics/Granite_Reasoning.ipynb
🔗 Check out the model: https://huggingface.co/ibm-granite/granite-3.3-8b-instruct
For more technical tutorials, articles, and learning resources, check out IBM Developer: https://ibm.biz/ibm-developer-yt
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