Vic The Data Gal

Trusted Data Analytics and BI Career partner. Follow me for all your education tips and career advancement tricks!
Contact me: [email protected]

[spidey @lochan_twt]

the biggest problems of LLM's are, they hallucinate so bad especially when they see unseen data

> prompt engineering, RAG, and finetuning are three very common AI engineering techniques that you can use to adapt a model to your needs.

> Prompt engineering : a technique of optimizing inputs to guide an LLM for specific tasks, it can help to get control over llm's output and hallucinations

> RAG: a technique that connects LLM with an external data source to retrieve relevant responses

> Finetuning : process of training a pretrained LLM with with custom data set for domain specific knowledge, it basically updates models weights for better responses

[Kshitij Mishra | AI & Tech @DAIEvolutionHub]

SQL Basics to Advance Notes 📘

To get it ✅

1. Follow me so that, I can dm.
2. Repost 🌠
3. Comment "SQL"

#SQL

[Kshitij Mishra | AI & Tech @DAIEvolutionHub]

Types of Data Structures 📘💻

Here’s a visual breakdown of Array, Stack, Queue, Tree, Graph, and more — all in one simple chart ⚡
Perfect for anyone learning DSA or preparing for coding interviews 🚀

Also I’ve compiled 1000+ Materials — including DSA, SQL, Python & Programming Notes 💼

To get it 👇
1️⃣ Follow me (@daievolutionhub) so I can DM you
2️⃣ Repost this post 🔁
3️⃣ Comment “DSA” 💬

Follow @daievolutionhub for more Coding, AI & Tech materials ✨

#DSA #DataStructures #Coding #Developers #Programming #Tech

[Vic The Data Gal @VicTheDataGal]

🐍🐍🐍

[Python Programming @PythonPr]

Machine Learning Algorithm

[Aditi @aditilovess]

🚀 Hey @grok

I'm looking to #CONNECT with people interested in 😭😭😭

🎨 Frontend
💼 Backend
👩‍💻 Gen AI
✨ Full Stack
🧑‍💻 DevOps
✅ DSA
🧠 AI/ML
🧱 Web3
📊 Data Science
💸 Freelancing
🐍 Python
🔨 Startups

Let’s grow, learn & build together! 💪🔥

[Job Corner @JOBCORNER247]

Free Certification Courses to Learn Data Science in 2025:

1. Python
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2. SQL
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3. Statistics and R
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27. Supervised Machine Learning: Regression and Classification
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[Shubham Saboo @Saboo_Shubham_]

This is what a Senior AI PM at Google's GitHub profile looks like.

[Vic The Data Gal @VicTheDataGal]

Let me know what you think!

#ChatGPT #claude #gemini #Grok #Copilot

[Vishal @vshlHQ]

Your current favorite LLM, and why?

[Vic The Data Gal @VicTheDataGal]

Learning about #databricks from Joshua Higginbotham! #lexingtondatausergroup

[Ed Hansberry @ehansalytics]

Me watching a co-worker export every visual in a #PowerBI report to a CSV file.

[Microsoft Azure @Azure]

There's value to be gained from migrating your on-premises SQL Server workloads to Azure. Watch to learn more: https://t.co/7MeFgT6YE5

[Mike Driscoll @driscollis]

#Python Pop Quiz 🐍❓

What is the output of the following code?

A) [3, 3]
B) [3, 3] [3, 3]
C) [3]
D) None of the above

[Vic The Data Gal @VicTheDataGal]

“Big data and business analytics will grow at a continuous accelerated growth rate of 13.5.” - allied market research

[Vic The Data Gal @VicTheDataGal]

Lets talk resumes! Go to my Instagram (@victhedatagal) for my additional tips and tricks to help your resume stand out!

[Mike Driscoll @driscollis]

#Python Pop Quiz 🐍❓

What is the result when you run this code?

A) Syntax Error
B) 5 .__mul__
C) 30
D) What is this madness?

[Ben Weissman (he/him) @bweissman]

This is happening today! #betterlatethannever #bicep #azure #postcon @sqldbawithbeard @DataScotland

[Vic The Data Gal @VicTheDataGal]

@cathrinew So exciting that you are getting to attend! and appreciate your vulnerability around your current state. Here is an article I found that helped me a bit with managing some of my own symptoms. I hope you find it helpful too! https://t.co/fQrKRxEEKP

[The New York Times @nytimes]

Breaking News: Amazon plans to lay off approximately 10,000 people starting as soon as this week, in what would be the largest cuts in the company’s history. https://t.co/YP89YdPQV2

[Vic The Data Gal @VicTheDataGal]

@TEK_Louisville @TEKsystems we love sponsoring the SQL Meet up in Louisville!!!! :)