--- title: Unraveling prompt engineering description: "Join our next webinar on Unraveling Prompt Engineering! Let's take the \"art\" of prompt engineering and unravel it into best practices and methodologies." image: https://go.superwise.ai/hubfs/social-suggested-images/Unraveling%20prompt%20engineering_Social%20share.png --- [![Colors - Logo_Superwise - Standard](https://go.superwise.ai/hubfs/Colors%20-%20Logo_Superwise%20-%20Standard.svg "Colors - Logo_Superwise - Standard")](http://superwise.ai) [![White - Logo_Superwise - Standard](https://go.superwise.ai/hs-fs/hubfs/White%20-%20Logo_Superwise%20-%20Standard.png?width=809&height=174&name=White%20-%20Logo_Superwise%20-%20Standard.png "White - Logo_Superwise - Standard")](http://superwise.ai) ![menu-1](https://f.hubspotusercontent20.net/hubfs/6667626/menu-1.svg) ## Unraveling prompt engineering ![3 logos for landing page](https://6667626.fs1.hubspotusercontent-na1.net/hub/6667626/hubfs/3%20logos%20for%20landing%20page.png?width=1154&height=86&name=3%20logos%20for%20landing%20page.png)   ## **Oct 17th | 2:00 PM EST** On the face of things, prompting seems intuitive and straightforward. With that said, you'd be hard-pressed to find a developer who'll say that it's easy. This webinar will focus on unraveling the "art" of prompt engineering into best practices and methodologies. ### Key topics - LLM compatibility: considerations in use case, task, model, infrastructure, and prompting selection and matching. - The much-overlooked basics of prompting: understanding model tendencies and biases, chaining, mega prompts, and multi-calls, and adhering to prompt formats. - Breakthroughs in prompting techniques: such as Chain-of-Though, Tree-of-Thoughts, Thought frameworks (React), and Chain-of-Density. - Bug-driven development for LLMs + some hands-on examples of prompt engineering best practices **Come with questions!** But be advised that this is not an intro session to prompt engineering - we won't be covering basic prompt patterns and concepts such as zero-shot or temperature. ### Advised pre-reading [Prompt Engineering Guide](https://www.promptingguide.ai/) [Eight Prompt Engineering Templates](https://cobusgreyling.medium.com/eight-prompt-engineering-implementations-fc361fdc87b) [Design Patterns In Prompt Engineering](https://www.tensorops.ai/post/design-patterns-in-prompt-engineering-a-practical-approach)     ### Our speakers  - Gad Benran, founder and CTO at [TensorOps](https://tensorops.ai/) - Gabriel Goncalves, Machine Learning Engineer at [TensorOps](https://tensorops.ai/) - David Kramer, Lead Innovation Engineer at [Blattner Technologies](https://blattnertech.com/) & [Superwise](https://superwise.ai/)   [![White - Logo_Superwise - Standard](https://go.superwise.ai/hs-fs/hubfs/White%20-%20Logo_Superwise%20-%20Standard.png?width=809&height=174&name=White%20-%20Logo_Superwise%20-%20Standard.png "White - Logo_Superwise - Standard")](http://superwise.ai) All rights reserved to Superwise 2026 - - -