Teach ChatGPT How To Code Like You, AI-Powered Email Automation & Learn A New Language With The Help Of AI
Exciting AI Use Cases Of The Week
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Have you ever wondered if ChatGPT can pick up your coding habits and generate code similar to your style? Let’s find out.
This issue covers the following:
Can You Make ChatGPT Code Your Way?🌟
How to Automate Cold Emails using ChatGPT & Python
Hosting Llama 2 and rocking it through an API 👀
Chatbot creation using Python and the incredible OpenAI library 🔥
Create an AI Language Tutor 🌆
Can You make ChatGPT code your way?🌟
Fine-tuning ChatGPT to match your specific coding style.
No matter your programming language, this trick works like magic. First, ensure you've got access to ChatGPT-4 (sounds fancy, right? 😄), and let's get started.
Approach #1: Give ChatGPT a clear example and explain exactly what you need. For instance, ask it to write unit tests for your C# class using the best practices and specific libraries. Provide a link to a GitHub gist with the style and conventions you want it to follow.
Results? Impressive! ChatGPT generated code almost as you desired, just with some hardcoded values.
Approach #2: Can ChatGPT read your mind by checking out your blog posts? Give it the links to your articles on unit test approaches and coding style.
Boom! It delivered flawless output, following your guidelines without any fuss.
Now, remember that ChatGPT-3.5 might not be as advanced as v4, so the results may vary. If you've got v3.5, give it a shot.
How to automate cold emails using ChatGPT & Python
No more templated, spammy emails, no more wasting time. Just efficient, personalized cold emails that hit the bullseye.
Who's got time to spend hours on Emails? There is a perfect AI-driven Cold Email campaign solution using GPT-4, Resend, and a little Python magic.
Here's the; we've on how to make your email game a breeze:
Step 1: Get content from landing pages. Scrape publicly available info from your lead list's landing pages using BeautifulSoup and tidy it up with Pandas.
Step 2: ChatGPT-3.5 to the rescue! Identify those selling points. We'll ask ChatGPT to whip up 5–10 bullet points based on your offering and the prospect's problems. This sets the stage for GPT-4 to do its magic.
Step 3: Let GPT-4 do the talking. Hand in the instructions; it'll generate personalized emails tailored to each prospect.
Step 4: Refine and clean. The emails are run through GPT, making them even more human-readable and concise.
Step 5: Send and track with Resend. Use Resend's API to send those fantastic emails out into the world.
What do you need before you start doing this?
OpenAI API Key.
Python 3.9+ on your computer.
A Resend Account and API Key
👉Ready to dive deeper? Click here.
Hosting Llama 2 and rocking it through an API 👀
Build something incredible with Llama 2.
"Why Llama 2 instead of Open AI API?" you ask. Well, here are three killer reasons:
1️⃣ Security: Keep sensitive data far from those 3rd party vendors. Your secrets are safe with Llama 2! 🤫🔒
2️⃣ Reliability: Say goodbye to downtime! It guarantees your applications are always up and running smoothly. 🚀💻
3️⃣ Consistency: Get the same rock-solid results whenever you ask a question. No surprises, just pure Llama 2 magic! 🎯✨
So how do we do this?
Step 0: Sign up for an AWS account. We're about to kick things off on Amazon's turf! 🛠️🌐
Step 1: Once in the AWS Dashboard, search for AWS Sagemaker, click on it, and get ready to take the plunge! 🕵️♂️💻
Step 2: Time up your domain on AWS Sagemaker. Get ready to claim your little piece of the cloud! ☁️🏰
Step 3: Start a Sagemaker Studio Session and let the Llama 2 adventure begin! 🚀📝
Step 4: Last but not least, select the Llama-2–7b-chat model. 🦙💬 This is where the magic truly begins!
Chatbot creation using Python and the incredible OpenAI library🔥
Have your very own functional chatbot to interact with users
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