Another recording from a live event hosted by DeepLearning.ai, A subject near/dear to my heart, since you’all know I’m running Guanaco locally.
Continue readingGenerative AI with LLMs class, a peek under the hood.
A pragmatic look at harnessing the power of LLMs as a development tool, including ways to temper resource costs without sacrificing data integrity.
Continue readingICYMI: Mastering RLHF with AWS Workshop Video
If you missed the event, the lovely folks at DeepLearning have posted the video: It’s an overview of what’s covered in their Generative AI with Large Language Models offered on Coursera. I’m taking the course and while it’s considered intermediate, so far the material is not overwhelming. I’ll post my thoughts on the class after… Continue reading
On the Generative AI Train, watch AWS’ Hello World videos
A short post to bring your attention to AWS’ videos on Generative AI.
Continue readingGoogle’s Generative AI Learning Path: Smooth then a Wall
A review of Google’s GenAI course, covering fundamental concepts of AI and ML, and GenAI models, with a shift in difficulty halfway through.
Continue readingTry a LLM all your own. Pour me a Guanaco, please.
Recall when you are sending prompts to ChatGPT, your words are traveling into the someone else’s ether. You can have “private” conversations with your own LLM running locally.
Continue readingPutting ChatGPT to use. Right here 👇.
Discover how using ChatGPT and a SEO plugin helps optimize content, from generating titles to improving meta descriptions.
Continue readingMore classes: A DeepLearning dive.
Discover DeepLearning.ai’s short courses on prompt engineering for developers. Learn chatbot prompting and building AI customer service agents with code examples and an active community.
Continue readingPlay in a world of your choice?
A bit off-topic, but I couldn’t resist sharing something fun.
Continue readingExploring Vanderbilt University’s Class: A Review
I just finished the Vanderbilt University class offered by Coursera. The course includes 6 modules that each explain different ‘patterns’ of prompting..
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