Sri Charan

@godofprompt AI

Google's Gemini 1.5 Pro is extremely powerful. But most people don't know how to use it. That's why I created this list of prompts to help you grow personally and professionally. Like + Comment "AI' and I'll DM you the file for free. (Must be following)

@godofprompt AI

Want to make money online with AI? Creating custom GPTs is a hot new side hustle. People are making $10,000 a month selling GPTs. I’ve put together a prompt to help you create and sell your own. Like + reply "AI" and I’ll send it your way. (Must be following me)

@godofprompt Send

Twitter creators are making more than $10,000 a month. But 99.9% of you don't know how to create content. That's why we made the 'Tweet Generator Mega Prompt' to help you out. Comment "Send" + Like this and I'll DM you the file. (Must be following me)

@godofprompt Send

LinkedIn is the best platform for building your professional brand. I’ve made a ChatGPT prompt that crafts a 30-day LinkedIn content plan. Watch your connections and opportunities multiply. To get it, simply: • Like & Comment • Reply 'Send' • Follow me so I can DM you

AI hallucinations in images #meta #llama

@svpino Is there a specific reason for not having Gemini in this poll?

At the end of 2025 (18 months from now), the best LLM will be from:

I started my career in Data Science back in 2016 ⏳ Being self-taught, YouTube has been a great source of learning for me! Here are some of the channels I've ardently followed:

Critical Thinking cheat sheet #AcademicTwitter #AcademicChatter

@lax97981 Resume

This Resume has an ATS score of more than 92 🤯 This Resume helped many in getting an interview calls from companies like Google, Microsoft, Amazon, and many more. 💼 I have personally used this single-column resume in my job hunting and got amazing results I am sharing the exact similar editable ATS Friendly Resumes templates! To get it: 1. Follow me @lax97981 (So that I can DM) 2. Like & Repost 3. Reply "Resume" Follow me so I will dm immediately 💯

Today was not a security or cyber incident. Our customers remain fully protected. We understand the gravity of the situation and are deeply sorry for the inconvenience and disruption. We are working with all impacted customers to ensure that systems are back up and they can deliver the services their customers are counting on. As noted earlier, the issue has been identified and a fix has been deployed. There was an issue with a Falcon content update for Windows Hosts. For the latest information that we will continuously update, please refer to the CrowdStrike website (crowdstrike.com/blog/statement…), my posts on LinkedIn, and my posts on X.  I will continue to provide updates to our community and the industry as they become available.

Did you know your phone uses AI to unlock with facial recognition? AI is already in so many everyday things! #AI #ArtificialIntelligence

Thinking Skills

If a man neglects education, he walks lame to the end of his life. - Plato

Insightful basics about linear regression. Thanks Regression with Interactions can be added on top of these. Interactions: interaction terms is about examining the relationship between target and independent variable w.r.t another independent variable.

Behalf of my frnd. Bad experience with @lufthansa the ticket has been cancelled at last minute without email notification. Customer service weren’t supportive as they did not provide another ticket/refund. I had to book new ticket with different airlines. I don’t reco Lufthansa.

Overfitting (Lesson 4 of 24): It took me 6 weeks to learn overfitting. I'll share in 6 minutes (business case study included). Let's dive in: 1. Overfitting is a common issue in machine learning and statistical modeling. It occurs when a model is too complex and captures not only the underlying pattern in the data but also the noise. 2. Key Characteristics of Overfitting: High Performance on Training Data, Poor Performance on Test Data, Overly Complex with many parameters, Sensitive to minor fluctuations in training data (not robust). 3. How to Avoid Overfitting (and Underfitting): The goal is to get a model trained to the point where it's robust (not overly sensitive) and generalizes well to new data (unseen during model training). How we do this is to balance bias and variance tradeoff. Common techniques: K-Fold Cross Validation, Regularization (penalizing features), and even simplifying the model. 4. How I learned about overfitting (business case): I was making a forecast model using linear regression. The model had dozens of features: lags, external regressors, economic features, calendar features... You name it, I included it. And the model did really well (on the training data). The problem came when I put my first forecast model into production... 5. Lack of Stability (is a nice way to put it): My model went out-of-wack. The linear regression predicted demand for certain products 100X more than it's recent trends. And luckily the demand planner called me out on it before the purchase orders went into effect. 6. I learned a lot from this: Linear regression models can be highly sensitive. I switched to penalized regression (elastic net) and the model became much more stable. Luckily my organization knew I was onto something, and I was given more chances to improve. 7. The end result: We actually called the end of the Oil Recession of 2016 with my model, and workforce planning was ready to meet the increased demand. This saved us 3 months of inventory time and put us in a competitive advantage when orders began ramping up. Estimated savings: 10% of sales x 3 months = $6,000,000. Pretty shocking what a couple data science skills can do for a business. === Ready to learn Data Science for Business? I put together a free on-demand workshop that covers the 10 skills that helped me make the transition to Data Scientist: learn.business-science.io/free-rtrack-ma… And if you'd like to speed it up, I have a live workshop where I'll share how to use ChatGPT for Data Science: learn.business-science.io/registration-c… If you like this post, please reshare ♻️ it so others can get value.

AI vs. AGI AI is a software that perform tasks that would require human intelligence. Artificial general intelligence (AGI) is an ability to understand, learn, and apply knowledge on wide range of tasks. It is an advanced & versatile form of intelligence than AI. #ai #tech #AGI

@akshay_pachaar How is “The cartoon guide to statistics”? Can someone help for a beginner? Thanks

100k is not far!! ✨ And we are back with a giveaway! 🙌 To make it extra special, in addition to the books, my favorite keyboard, the Logitech MX Keys is also up for grabs! 🔥 I'll be giving 7 followers the item of their choice!! 📚 This is how you can participate: 1. Like & RT this tweet 2. Follow → @akshay_pachaar 3. Comment name of the Item👇