Taha Öztürk
@tahaozturk.bsky.social
Associate Data Engineer || AI Enthusiast || Science & Engineering Lover
|| Ex Mechanical Engineer
|| Ex Mechanical Engineer
Did you miss the first thread? Check it out for essential tips! There will be more to come in the next thread! 🚨
How are you addressing these hidden threats? Share your strategies below! 👇
Image by Pete Linforth from Pixabay
How are you addressing these hidden threats? Share your strategies below! 👇
Image by Pete Linforth from Pixabay
March 11, 2025 at 8:49 AM
Did you miss the first thread? Check it out for essential tips! There will be more to come in the next thread! 🚨
How are you addressing these hidden threats? Share your strategies below! 👇
Image by Pete Linforth from Pixabay
How are you addressing these hidden threats? Share your strategies below! 👇
Image by Pete Linforth from Pixabay
3️⃣ Insider Threats: Your employees, intentionally or accidentally, exposing data. 💡 Defense: Limit data access, monitor unusual activity, and provide regular cybersecurity training.
March 11, 2025 at 8:49 AM
3️⃣ Insider Threats: Your employees, intentionally or accidentally, exposing data. 💡 Defense: Limit data access, monitor unusual activity, and provide regular cybersecurity training.
2️⃣ Zero-Day Vulnerabilities: New exploits before patches exist.
💡 Defense: Swift patch management, intrusion detection systems (IDS), and application allowlisting.
💡 Defense: Swift patch management, intrusion detection systems (IDS), and application allowlisting.
March 11, 2025 at 8:49 AM
2️⃣ Zero-Day Vulnerabilities: New exploits before patches exist.
💡 Defense: Swift patch management, intrusion detection systems (IDS), and application allowlisting.
💡 Defense: Swift patch management, intrusion detection systems (IDS), and application allowlisting.
1️⃣ Unsecured APIs: Quietly leaking sensitive info.
💡 Defense: Implement OAuth, rate limits, encryption (TLS 1.2+), and routine audits.
💡 Defense: Implement OAuth, rate limits, encryption (TLS 1.2+), and routine audits.
March 11, 2025 at 8:49 AM
1️⃣ Unsecured APIs: Quietly leaking sensitive info.
💡 Defense: Implement OAuth, rate limits, encryption (TLS 1.2+), and routine audits.
💡 Defense: Implement OAuth, rate limits, encryption (TLS 1.2+), and routine audits.
Stay tuned—more cybersecurity tips are coming in the next threads! 🚨
Have you encountered these threats? Let's discuss! 👇
Image by Cliff Hang from Pixabay
Have you encountered these threats? Let's discuss! 👇
Image by Cliff Hang from Pixabay
March 6, 2025 at 8:19 AM
Stay tuned—more cybersecurity tips are coming in the next threads! 🚨
Have you encountered these threats? Let's discuss! 👇
Image by Cliff Hang from Pixabay
Have you encountered these threats? Let's discuss! 👇
Image by Cliff Hang from Pixabay
3️⃣ Ransomware: Locking your data and demanding money.
💡 Defense: Regular offline backups, multi-factor authentication (MFA), and frequent software updates.
March 6, 2025 at 8:19 AM
3️⃣ Ransomware: Locking your data and demanding money.
💡 Defense: Regular offline backups, multi-factor authentication (MFA), and frequent software updates.
2️⃣ DDoS Attacks: Overwhelming your servers to shut you down.
💡 Defense: Monitor traffic spikes and use specialized DDoS protection services.
💡 Defense: Monitor traffic spikes and use specialized DDoS protection services.
March 6, 2025 at 8:19 AM
2️⃣ DDoS Attacks: Overwhelming your servers to shut you down.
💡 Defense: Monitor traffic spikes and use specialized DDoS protection services.
💡 Defense: Monitor traffic spikes and use specialized DDoS protection services.
1️⃣ SQL Injection: Hackers slip malicious code into forms to steal your data.
💡 Defense: Validate all user inputs, use parameterized queries, and regularly audit your code.
💡 Defense: Validate all user inputs, use parameterized queries, and regularly audit your code.
March 6, 2025 at 8:19 AM
1️⃣ SQL Injection: Hackers slip malicious code into forms to steal your data.
💡 Defense: Validate all user inputs, use parameterized queries, and regularly audit your code.
💡 Defense: Validate all user inputs, use parameterized queries, and regularly audit your code.
Image source: https://buff.ly/4ibb4FZ
Retrieval Augmented Generation - Amazon SageMaker AI
Customize a foundation model with Retrieval Augmented Generation.
docs.aws.amazon.com
February 25, 2025 at 8:49 AM
Image source: https://buff.ly/4ibb4FZ
3️⃣ Where is RAG Used?
📚 AI Assistants → Answering user queries with accurate, real-world data
🩺 Healthcare & Law → Always pulling the latest research & regulations
📊 Finance & News → Keeping up with real-time market trends
RAG makes AI smarter without constant retraining.
📚 AI Assistants → Answering user queries with accurate, real-world data
🩺 Healthcare & Law → Always pulling the latest research & regulations
📊 Finance & News → Keeping up with real-time market trends
RAG makes AI smarter without constant retraining.
February 25, 2025 at 8:49 AM
3️⃣ Where is RAG Used?
📚 AI Assistants → Answering user queries with accurate, real-world data
🩺 Healthcare & Law → Always pulling the latest research & regulations
📊 Finance & News → Keeping up with real-time market trends
RAG makes AI smarter without constant retraining.
📚 AI Assistants → Answering user queries with accurate, real-world data
🩺 Healthcare & Law → Always pulling the latest research & regulations
📊 Finance & News → Keeping up with real-time market trends
RAG makes AI smarter without constant retraining.
2️⃣ Fine-Tuning vs RAG
Fine-tuning requires retraining the model with new data. It’s costly & time-consuming.
RAG? No need for retraining! It simply retrieves the latest info dynamically. ⚡
Fine-tuning requires retraining the model with new data. It’s costly & time-consuming.
RAG? No need for retraining! It simply retrieves the latest info dynamically. ⚡
February 25, 2025 at 8:49 AM
2️⃣ Fine-Tuning vs RAG
Fine-tuning requires retraining the model with new data. It’s costly & time-consuming.
RAG? No need for retraining! It simply retrieves the latest info dynamically. ⚡
Fine-tuning requires retraining the model with new data. It’s costly & time-consuming.
RAG? No need for retraining! It simply retrieves the latest info dynamically. ⚡
1️⃣ LLMs vs RAG
A standard LLM (like GPT-4) only generates text based on its training. No external data.
A RAG-powered model? It fetches relevant info in real-time, improving accuracy! ✅
A standard LLM (like GPT-4) only generates text based on its training. No external data.
A RAG-powered model? It fetches relevant info in real-time, improving accuracy! ✅
February 25, 2025 at 8:49 AM
1️⃣ LLMs vs RAG
A standard LLM (like GPT-4) only generates text based on its training. No external data.
A RAG-powered model? It fetches relevant info in real-time, improving accuracy! ✅
A standard LLM (like GPT-4) only generates text based on its training. No external data.
A RAG-powered model? It fetches relevant info in real-time, improving accuracy! ✅
How is RAG different from fine-tuning or normal chat models? Let’s break it down! 🧵👇
February 25, 2025 at 8:49 AM
How is RAG different from fine-tuning or normal chat models? Let’s break it down! 🧵👇
6️⃣ These roles work together like a relay team:
🏗️ Engineers provide clean data →
📊 Analysts extract insights →
🧠 Scientists build models →
🚀 ML Engineers deploy at scale
Want to dive deeper? I wrote a detailed guide on this! 📖 Link in my next post. ⬇️
🏗️ Engineers provide clean data →
📊 Analysts extract insights →
🧠 Scientists build models →
🚀 ML Engineers deploy at scale
Want to dive deeper? I wrote a detailed guide on this! 📖 Link in my next post. ⬇️
February 19, 2025 at 8:49 AM
6️⃣ These roles work together like a relay team:
🏗️ Engineers provide clean data →
📊 Analysts extract insights →
🧠 Scientists build models →
🚀 ML Engineers deploy at scale
Want to dive deeper? I wrote a detailed guide on this! 📖 Link in my next post. ⬇️
🏗️ Engineers provide clean data →
📊 Analysts extract insights →
🧠 Scientists build models →
🚀 ML Engineers deploy at scale
Want to dive deeper? I wrote a detailed guide on this! 📖 Link in my next post. ⬇️
5️⃣ Machine Learning Engineers 🚀
They deploy & scale ML models. It’s all about APIs, Kubernetes, MLOps, and making AI work in production.
They turn models into real-world applications. If you like coding & optimizing AI systems, this is your spot!
They deploy & scale ML models. It’s all about APIs, Kubernetes, MLOps, and making AI work in production.
They turn models into real-world applications. If you like coding & optimizing AI systems, this is your spot!
February 19, 2025 at 8:49 AM
5️⃣ Machine Learning Engineers 🚀
They deploy & scale ML models. It’s all about APIs, Kubernetes, MLOps, and making AI work in production.
They turn models into real-world applications. If you like coding & optimizing AI systems, this is your spot!
They deploy & scale ML models. It’s all about APIs, Kubernetes, MLOps, and making AI work in production.
They turn models into real-world applications. If you like coding & optimizing AI systems, this is your spot!
4️⃣ Data Scientists 🤖
They take things further—using statistics & machine learning to predict trends and solve business problems.
Python, Scikit-learn, and TensorFlow are their best friends. Want to build predictive models? This is your lane.
They take things further—using statistics & machine learning to predict trends and solve business problems.
Python, Scikit-learn, and TensorFlow are their best friends. Want to build predictive models? This is your lane.
February 19, 2025 at 8:49 AM
4️⃣ Data Scientists 🤖
They take things further—using statistics & machine learning to predict trends and solve business problems.
Python, Scikit-learn, and TensorFlow are their best friends. Want to build predictive models? This is your lane.
They take things further—using statistics & machine learning to predict trends and solve business problems.
Python, Scikit-learn, and TensorFlow are their best friends. Want to build predictive models? This is your lane.
3️⃣ Data Engineers ⚙️
They build and maintain the pipelines that move, clean, and store data. Think ETL/ELT, Spark, Airflow, Snowflake, and SQL.
Without them, data would be a mess. If you like building scalable systems, this is for you.
They build and maintain the pipelines that move, clean, and store data. Think ETL/ELT, Spark, Airflow, Snowflake, and SQL.
Without them, data would be a mess. If you like building scalable systems, this is for you.
February 19, 2025 at 8:49 AM
3️⃣ Data Engineers ⚙️
They build and maintain the pipelines that move, clean, and store data. Think ETL/ELT, Spark, Airflow, Snowflake, and SQL.
Without them, data would be a mess. If you like building scalable systems, this is for you.
They build and maintain the pipelines that move, clean, and store data. Think ETL/ELT, Spark, Airflow, Snowflake, and SQL.
Without them, data would be a mess. If you like building scalable systems, this is for you.
2️⃣ Data Analysts 📊
They uncover insights from data using SQL, BI tools (like Tableau, Power BI), and Excel. Their reports help businesses make decisions.
If you love finding patterns, creating dashboards, and explaining trends, this might be your path!
They uncover insights from data using SQL, BI tools (like Tableau, Power BI), and Excel. Their reports help businesses make decisions.
If you love finding patterns, creating dashboards, and explaining trends, this might be your path!
February 19, 2025 at 8:49 AM
2️⃣ Data Analysts 📊
They uncover insights from data using SQL, BI tools (like Tableau, Power BI), and Excel. Their reports help businesses make decisions.
If you love finding patterns, creating dashboards, and explaining trends, this might be your path!
They uncover insights from data using SQL, BI tools (like Tableau, Power BI), and Excel. Their reports help businesses make decisions.
If you love finding patterns, creating dashboards, and explaining trends, this might be your path!
6️⃣ Final Thoughts:
AI agents are here to stay, and they’re changing how we work online.
What’s a real-world task you’d love an AI agent to handle for you? Drop your ideas below! 👇
#AI #MachineLearning #Automation #TechTrends #AIagents
AI agents are here to stay, and they’re changing how we work online.
What’s a real-world task you’d love an AI agent to handle for you? Drop your ideas below! 👇
#AI #MachineLearning #Automation #TechTrends #AIagents
February 14, 2025 at 8:13 PM
6️⃣ Final Thoughts:
AI agents are here to stay, and they’re changing how we work online.
What’s a real-world task you’d love an AI agent to handle for you? Drop your ideas below! 👇
#AI #MachineLearning #Automation #TechTrends #AIagents
AI agents are here to stay, and they’re changing how we work online.
What’s a real-world task you’d love an AI agent to handle for you? Drop your ideas below! 👇
#AI #MachineLearning #Automation #TechTrends #AIagents
5️⃣ Want to Build One? Start Here!
🔹 Hugging Face Agents Course – Beginner-friendly & hands-on 🚀
🔹 LangChain – Needs some Python but is powerful 💻
🔹 Relevance AI & Dify – No-code tools for non-tech users ⚡
🔹 Hugging Face Agents Course – Beginner-friendly & hands-on 🚀
🔹 LangChain – Needs some Python but is powerful 💻
🔹 Relevance AI & Dify – No-code tools for non-tech users ⚡
February 14, 2025 at 8:13 PM
5️⃣ Want to Build One? Start Here!
🔹 Hugging Face Agents Course – Beginner-friendly & hands-on 🚀
🔹 LangChain – Needs some Python but is powerful 💻
🔹 Relevance AI & Dify – No-code tools for non-tech users ⚡
🔹 Hugging Face Agents Course – Beginner-friendly & hands-on 🚀
🔹 LangChain – Needs some Python but is powerful 💻
🔹 Relevance AI & Dify – No-code tools for non-tech users ⚡