Blog: Learn Machine Learning from a Google AI Engineer
Documenting Your Prompts a Best Practice for Success
Let’s be real; documenting stuff isn’t the most exciting part of any job. But when it comes to prompt engineering and AI Agents, it’s an absolute lifesaver. I know it can feel like extra work, but trust me, it’ll save you from major headaches later on.
This is the 4th blog of the series: Prompt engineering for business applications. Prompt Engineering is complex and requires careful planning and refinement to achieve desired results from AI models. As a software engineer @Google with experience in prompt engineering for major businesses, I will share practical learnings in a blog series to help others unlock the power of AI beyond simple tasks.
Beyond the Basics How to Choose and Configure Your LLM for Maximum Impact
When it comes to AI prompt engineering, the choice of language model (LLM) is crucial. Each promp...
The Foundation Understanding LLMs and Prompt Engineering, and Why It All Matters
Let’s get down to basics and talk about how Large Language Models (LLMs) actually work. Think of ...
Demystifying Prompt Engineering for the Enterprise
Prompt engineering for AI business applications isn’t as simple as asking a question. It’s a comp...
Podcast Shaping the Future Generative AI and Large Language Models
Podcast Shaping the future Generative AI and Large Language Models (LLMs), such as ChatGPT and Ba...