LearnWithHasan

Cognition Labs, the makers of Devin AI, Are Hiring Software Engineers! Stop the Panic and Clickbait Titles. Software Engineering is Way Beyond Running Some AI Agents and Loops!

You can now build AI Tools with Python 10x Faster with SimplerLLM Check SimplerLLM on Github here: https://github.com/hassancs91/SimplerLLM And, here's an example:

Machine Learning Made Simple What is Normalization? It is simply adjusting the numbers in a dataset into a similar scale. It is like converting different currencies into one common currency to compare their values easily. From the SimplerML Open Source Book (Coming Soon)

SimplerML Chap1 is almost done 🔥 ~ 1000 words to go. A little support is appreciated ❤️ In case you don’t know SimplerML is a new free open source project. A creative way in explaining machine learning from scratch without any prerequisites. Or at least, I hope so 😅

SimplerLLM Beta is Live! Look how easy it is to summarize a blog post now with SimplerLLM Try it out: 👉 pip install SimplerLLM

I started working on a new project: SimplerML🔥 Trying to help anyone from any background learn Machine learning in a creative way and without any prerequisites. Hope what's going in my mind turns into reality soon 😇 Will keep you updated!

Not bad for the last 30 days. I think I should work on my CTR

Want to get the best out of ChatGPT? Try this:

#SimplerLLM Coming Soon! Stay Tuned With One line of code, you can generate JSON From Any #LLM !

The Power Behind GPT Models are Transformers! And The Power Behind transformers is: The Self-Attention Mechanism ✅ I will help you understand this in the easiest possible way! Here is what happens behind the scenes: Step 1: Each word in the sentence is converted into a list of numbers (vector). Step 2: The transformer processes these vectors using the self-attention mechanism. For example: I arrived at the bank after crossing the river. For the word "bank," the model doesn't just consider the word itself. It looks at the other words in the sentence like "arrived," "crossing," and "river" which help in understanding the context. The self-attention mechanism assigns more weight to these relevant words, which strongly suggests that "bank" here refers to the side of a river. And not something else. In Short, the self-attention mechanism allows the model to consider the entire sentence and the relationships between words when interpreting the meaning of each word.

I just finished a prototype on how To get Structured JSON Response from any #LLM WITHOUT function calling! Here is a breakdown of what I did: Step 1: Force the Language model to generate JSON in the output with some #promptengineering techniques. For example, by adding "provide a response in a structured JSON format that matches the following Pydantic model. {json_model}" Step 2: Get The response and Extract the JSON from the output Using Regex. Step 3: Convert the Extracted JSON Text into a JSON Model and Validate it to match the Pydantic model. Step 4: Return to the user if Valid; if not, I Implemented a Retry mechanism. ----------- It worked perfectly, and now trying to implement and test it in more complex scenarios. I will be sharing the codes and all the details soon.

If you are starting a new business and using Stripe as a payment gateway, make sure to the following : 1. Setup strict review rules in stripe. 2. Setup an automation wenever you get a review and send 2-3 emails to the customer to verify the payment. 3. Thank me later 😎

Working on SimplerLLM An open source #python library that will make your life way easier when working with #LLMs Stay Tuned! I will update you soon

Who relates😂

𝗗𝗢𝗡𝗧 𝗗𝗢 𝗧𝗛𝗜𝗦! If this is what you wrote in your latest marketing email: "𝗛𝗲𝗿𝗲’𝘀 𝟮𝟬% 𝗼𝗳𝗳 𝘆𝗼𝘂𝗿 𝗻𝗲𝘅𝘁 𝗼𝗿𝗱𝗲𝗿." This is probably what your customers read: 𝘛𝘩𝘦 𝘴𝘰𝘭𝘦 𝘱𝘶𝘳𝘱𝘰𝘴𝘦 𝘰𝘧 𝘵𝘩𝘪𝘴 𝘦𝘮𝘢𝘪𝘭 𝘪𝘴 𝘵𝘰 𝘵𝘳𝘺 𝘢𝘯𝘥 𝘴𝘦𝘭𝘭 𝘺𝘰𝘶 𝘮𝘺 𝘱𝘳𝘰𝘥𝘶𝘤𝘵. However, this is what you want your customers to read: 𝘏𝘦𝘳𝘦’𝘴 𝘴𝘰𝘮𝘦 𝘷𝘢𝘭𝘶𝘢𝘣𝘭𝘦 𝘪𝘯𝘧𝘰𝘳𝘮𝘢𝘵𝘪𝘰𝘯 𝘵𝘩𝘢𝘵 𝘺𝘰𝘶’𝘳𝘦 𝘪𝘯𝘵𝘦𝘳𝘦𝘴𝘵𝘦𝘥 𝘪𝘯. 𝘖𝘩, 𝘢𝘯𝘥 𝘰𝘶𝘳 𝘱𝘳𝘰𝘥𝘶𝘤𝘵 𝘫𝘶𝘴𝘵 𝘩𝘢𝘱𝘱𝘦𝘯𝘴 𝘵𝘰 𝘣𝘦 𝘵𝘩𝘦 𝘱𝘦𝘳𝘧𝘦𝘤𝘵 𝘴𝘰𝘭𝘶𝘵𝘪𝘰𝘯 𝘧𝘰𝘳 𝘪𝘵. So, while you want to send as many emails as possible from your brand, you don’t want to be overly promotional with it. Make sure to generate curiosity and create a personal touch with your audience. 𝗔𝘀𝗸 𝘆𝗼𝘂𝗿𝘀𝗲𝗹𝗳: What are some burning questions that people have in your industry? For example, If you’re in the diet niche, one of the burning questions people have is what to eat and not to eat.

Always being marked as SPAM? It's a huge obstacle that A LOT of email marketers face. So, to solve it one thing you can do is increase your email's sending score. An Email’s Sending Score is a rating used to evaluate the reputation of your email’s IP address. It is a critical metric used by email service providers to determine the likelihood of an email being marked as spam or delivered successfully to recipients' inboxes. Here are 3 steps you should take to achieve that: Setup SPF (Sender Policy Framework): An SPF record is a TXT record that is added to your Domain DNS Zone and allows you to set the mail servers that are allowed to send emails using your domain. Messages sent from a server that isn’t included in the SPF record will be marked as spam or rejected. 👇Here's how to set it up: Create a TXT record in your DNS settings with a value that specifies which mail servers are authorized to send emails on behalf of your domain. Example: "v=spf1 include:_spf.google.com ~all" for a domain using Google's mail servers. Setup DKIM (DomainKeys Identified Mail): Similar to SPF, DKIM also works to prevent spammers from impersonating you using your domain. A DKIM record is also a text record in your DNS that holds a public authentication key. This key will be validated using a private key saved inside your server. 👇Here's how to set it up: Generate a DKIM key pair (public and private keys), configure your email server to sign outgoing messages with the private key, and add a TXT record in your DNS with the public key. The record name typically includes a selector prefix, e.g., "selector._domainkey", and the value contains the public key. Setup DMARC (Domain-based Message Authentication, Reporting & Conformance): DMARC allows you as an email sender to specify how to handle emails that were not authenticated using SPF or DKIM. So, you can opt to send those emails to the junk folder or have them blocked altogether. Make sure to set up SPF and DKIM before setting it up. 👇Here's how to set it up: Add a TXT record in your DNS for _dmarc.yourdomain.com with a value that defines your policy and reporting preferences. Example: "v=DMARC1;p=none;rua=mailto:report@yourdomain.com" to receive reports without enforcing DMARC policy. That's a wrap⌛️

Google Chrome has 176,459+ extensions. But you need only a few. Here are 6 Chrome extensions that you cannot miss: 𝟭/ 𝗦𝗶𝗺𝗶𝗹𝗮𝗿𝗪𝗲𝗯 It provides traffic data and analytics for any website. It offers insights into a website's traffic volume, sources, and user engagement, helping users understand the popularity and reach of any site they visit. 𝟮/ 𝗩𝗲𝗲𝗣𝗡 It is a free VPN that enables users to securely access the internet while protecting their privacy. It has a free plan allowing you to choose several locations you can use, making it beneficial for anyone needing a VPN and still with no stable income stream. 𝟯/ 𝗚𝗿𝗮𝗺𝗺𝗮𝗿𝗹𝘆 It helps users improve their writing by checking for grammar, punctuation, and style errors. It offers suggestions and corrections in real-time as you type. It has helped me A LOT with writing whether on my socials, blog posts, newsletter, etc... 𝟰/ 𝗚𝘂𝗶𝗱𝗱𝗲 This extension is designed for creating and sharing short, instructional videos and guides directly within the browser. It is really helpful where you can easily create tutorials or guides for software, websites, and more. 𝟱/ 𝗧𝘄𝗲𝗲𝘁 𝗛𝘂𝗻𝘁𝗲𝗿 𝗦𝗶𝗱𝗲𝗯𝗮𝗿 It is perfect for all X users, giving you access to trending topics and any user's top posts. It can significantly help you enhance their X experience and reach. 𝟲/ 𝗛𝗮𝗿𝗽𝗮 𝗔𝗜 It is an AI-driven extension including features like summarizing YouTube videos, answering questions, helping with your research, etc... It has A LOT of AI-powered features that enhance productivity and information gathering.