Newsletter Subject

Prompt Engineering for LLMs

From

maven.com

Email Address

maven@list.maven.com

Sent On

Thu, Feb 29, 2024 04:46 PM

Email Preheader Text

Prompt engineering is the new skill every engineer will learn as part of their software engineering

Prompt engineering is the new skill every engineer will learn as part of their software engineering education. I truly believe this, but it's early, and it will take time for everyone to learn it. For now, you can be far ahead of the curve by learning how to apply the latest prompting techniques, improve LLM performance and reliability, and build products with LLMs. Why take a course on this instead of just trying it out yourself? Time. No matter what, you’ll have to spend some time testing and learning on your own. However, the number one value of courses on Maven is efficiency. You’re busy, and you want to get up to speed without dozens of hours of wasted effort. Elvis Saravia has built a course directly for you. Elvis makes sure there are many real-world use cases so you have a practical understanding of how to leverage prompt engineering. You can also learn how he combines LLMs with external tools to support more advanced LLM applications. This is his 8th cohort. His latest cohorts have had a 9.1 and 9.4 rating, so he’s really nailed the material. The course starts on Mar 4 (this upcoming Monday), so it it’s ready for you to join and get started ASAP. [Count me in]( ^ Use this link for $160 off Elvis has had 250+ students go through his course. Here are some of the reviews we’ve received from his alumni:  Many insightful techniques were shared. The exposure to an experienced Prompt Engineer improved my own prompting tremendously! - Josh (VP, Engineering at TTEC Digital)  Good up-to-date content. Informative instruction. Knowledgeable and experienced instructor. Well worth the time. - Sean (Senior Data Scientist at Fivecast) Helpful insights, I especially appreciated the resources for evaluations. Elvis was great; responsive to students and tailored the course based on our cohort. I really enjoyed the demos, and was able to follow along with most despite no formal training with Python. - Kelly (Content Developer at Central Reach) This was a really helpful introduction to prompt engineering for LLMs. With how quickly the field is evolving, it's clear that Elvis is on the cutting edge. I've already applied the learnings to R&D at our organization. I would recommend the course to anyone who has explored LLMs on their own and has specific questions. - Hannah (Director of Clinical Product at Moneta Health) [Count me in]( ^ Get $160 off - three days left to enroll Gagan CEO, Maven     Over 30,000 professionals have leveled up with Maven Maven Learning, Inc., 10900 Research Blvd 160C, PM3086, Austin, Texas 78759, USA [Unsubscribe]()Â

Marketing emails from maven.com

View More
Sent On

07/11/2024

Sent On

31/10/2024

Sent On

17/10/2024

Sent On

10/10/2024

Sent On

01/10/2024

Sent On

19/09/2024

Email Content Statistics

Subscribe Now

Subject Line Length

Data shows that subject lines with 6 to 10 words generated 21 percent higher open rate.

Subscribe Now

Average in this category

Subscribe Now

Number of Words

The more words in the content, the more time the user will need to spend reading. Get straight to the point with catchy short phrases and interesting photos and graphics.

Subscribe Now

Average in this category

Subscribe Now

Number of Images

More images or large images might cause the email to load slower. Aim for a balance of words and images.

Subscribe Now

Average in this category

Subscribe Now

Time to Read

Longer reading time requires more attention and patience from users. Aim for short phrases and catchy keywords.

Subscribe Now

Average in this category

Subscribe Now

Predicted open rate

Subscribe Now

Spam Score

Spam score is determined by a large number of checks performed on the content of the email. For the best delivery results, it is advised to lower your spam score as much as possible.

Subscribe Now

Flesch reading score

Flesch reading score measures how complex a text is. The lower the score, the more difficult the text is to read. The Flesch readability score uses the average length of your sentences (measured by the number of words) and the average number of syllables per word in an equation to calculate the reading ease. Text with a very high Flesch reading ease score (about 100) is straightforward and easy to read, with short sentences and no words of more than two syllables. Usually, a reading ease score of 60-70 is considered acceptable/normal for web copy.

Subscribe Now

Technologies

What powers this email? Every email we receive is parsed to determine the sending ESP and any additional email technologies used.

Subscribe Now

Email Size (not include images)

Font Used

No. Font Name
Subscribe Now

Copyright © 2019–2025 SimilarMail.