Ever feel like showing up on camera just isn't your thing? What if I told you there's a digital version of you that can?"
🧠 "Welcome to the world of AI avatars — digital personalities that look like you, talk like you, and can even mimic your voice."
📲 "Tools like Synthesia ..
When your data pipeline fails at 2am because someone changed the schema without telling you…
What is your worst pipeline failure story?
#DataEngineering#Meme
Airflow vs Prefect: Which orchestration tool is better?
1️⃣Airflow: Mature, widely used, great for complex DAGs.
2️⃣Prefect: Modern, Pythonic, easier for dynamic workflows.
What’s your pick and why?
#dataengineering#orchestration
Apache Spark 4.0 is on the horizon.
With new features like improved Python support and adaptive query execution, it is set to make big data processing even smoother.
What Spark feature are you most excited about?
#BigData#ApacheSpark
Data Engineering Tip:
Always version your data pipelines. Tools like Git for code and DVC for data versioning can save you from pipeline disasters. What is your go-to versioning strategy as a Data Engineer?
#DataEngineering#DataPipelines"
GPT-4 is awesome, but...
...during these times, I like to remind myself that we are just at the beginning. There is so much to improve.
One approach I have been relying on is implementing ideas from scratch. One of my favorite examples is the nanoGPT github.com/karpathy/nanoG……
Yesterday's GPT-4 launch was **crazy** 🔥
After discussing w/ colleagues and taking some time to collect my thoughts,
Here are the top 3 things GPT-4 enables that were previously impossible or extremely difficult to achieve – including examples 👇
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