This is wild😲

Famous paintings reborn

The new Minimax img2vid brings more richness to old paintings.
Music : Vivaldi - Four Seasons 4 Winter mvt 1 Allegro non molto
Paintings from Wikipedia

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UC Berkeley's "Machine Learning" lecture notes

📓 Book

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🚀 If you’re a Data Scientist, you should learn how to deploy models in production.

📚 Here are 3 books, 3 courses, 3 blogs, and 3 podcasts to level up your MLOps skills:


📖 Books:

📕 Designing Machine Learning Systems by Chip Huyen with actual case studies of ML systems in enterprise: https://www.oreilly.com/library/view/designing-machine-learning/9781098107956/
📗 Practical MLOps: Operationalizing Machine Learning Models by Noah Gift & Alfredo Deza: https://www.amazon.com/Practical-MLOps-Operationalizing-Machine-Learning/dp/1098103017
📘 Machine Learning Engineering in Action by Benjamin Wilson: https://www.oreilly.com/library/view/machine-learning-engineering/9781617298714/


🎓 Courses:

💻 Deployment of Machine Learning Models by Soledad Galli and Chris Samiullah: Learn to deploy with FastAPI, containers, and AWS: https://www.udemy.com/course/deployment-of-machine-learning-models/
🧠 Machine Learning Specialization by Noah Gift and Alfredo Deza: A comprehensive MLOps course: https://www.coursera.org/specializations/mlops-machine-learning-duke
🎯 MLOps Specialization by Andrew Ng, Laurence Moroney, Robert Crowe, and Cristian Bartolomé: https://www.deeplearning.ai/courses/machine-learning-in-production/


📝 Blogs:

🚗 Uber Engineering Blog: https://www.uber.com/en-US/blog/engineering/
🏠 Airbnb Engineering and Data Science Blog: https://airbnb.io/
💼 Nubank Engineering Blog: https://building.nubank.com.br/


🎙 Podcasts:

🎧 MLOps Community Podcast: Learn more about MLOps: https://podcast.mlops.community/
🎙 AI Stories Podcast Episodes:
How to get into MLOps with Demetrios Brinkmann, CEO of the MLOps Community: https://www.youtube.com/watch?v=nrmOr98uR1M
MLOps and LLMOps with Noah Gift, MLOps Leader and Author: https://www.youtube.com/watch?v=jZGtmCrgTxk
Model deployment and code best practices with Maria Vechtomova, MLOps Tech Lead: https://www.youtube.com/watch?v=Nnq_2uHBUSo (🎉 Credits: Neil Leiser)

Give some likes ♥️ or ⭐️ bruh!

https://www.instagram.com/reel/DB_VdX9ooXO/?igsh=MWtxd2R1dncxZWl6ag==

This is wild😲

They’re even carrying babies now!🤖

👶 In this mind-blowing future, humanoid robots are taking on roles we never thought possible… nurturing life itself! 🍼✨

From cleaning floors to cradling life, the world is transforming at an incredible pace! 🌐⚡️ Are we prepared for a reality where machines become family? 🧐💭

Is this an exciting leap forward or a step too far? 😮👇 What do you think — are you on board with this future, or does it make you wonder about the boundaries of technology? 🤖

👶 Are you for it, against it, or maybe a little bit of both? 🤔💬

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Stanford just uploaded their new "Building LLMS" lecture. It's a must watch.🔥

"This lecture provides a concise overview of building a ChatGPT-like model, covering both pretraining (language modeling) and post-training (SFT/RLHF).

For each component, it explores common practices in data collection, algorithms, and evaluation methods."
https://www.youtube.com/watch?v=9vM4p9NN0Ts

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Hi All,

We, at Gartner, are hiring for below Data Analyst Roles. If your experience aligns with any of the below mentioned roles, kindly share your updated resume with me on garima.rai@gartner.com

1) Associate Data Analyst
📌 0.5-2 years of experience with strong proficiency in Python language.
📌 SQL/Excel/PowerBI experience is good to have.
📌 Technical Background preferred.

2) Data Analyst
📌 1.5-3 years of experience with strong proficiency in Advanced MS Excel (not limited to experience only with excel functions, pivot table and basic formula).
📌 SQL/Python/PowerBI experience is good to have.
📌 Technical Background preferred.

3) Senior Data Analyst
📌 3-5 years of experience with strong proficiency in PowerBI or Advanced Excel (not limited to experience only with excel functions, pivot table and basic formula).
📌 SQL/Python experience is good to have.
📌 Technical Background preferred.

4) Data Analyst, Lead
📌 5-6 years of experience with strong proficiency in PowerBI.
📌 Able to generate actionable insights and able to share the data through storytelling
📌 Technical Background preferred.

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Prompt Engineering Techniques: Comprehensive Repository for Development and Implementation 🖋️

📓 Github

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#fresher looking for data science and data engineering roles, please send your resume with a brief introduction of your skills and strengths to 💌 priya1.sharma@infogain.com, c to neelima.trehan@infogain.com. Good opportunity in a tough market!!

@Artificial_intelligence_ai

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https://www.instagram.com/reel/DDCSE7BoNPf/?igsh=azlpcjI0MzBtOXdh

Advanced Camera Control is now available for Gen-3 Alpha Turbo. Choose both the direction and intensity of how you move through your scenes for even more intention in every shot. Available now at runwayml.com

@Artificial_intelligence_ai

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it’s genius😳, Tesla Bot lying…

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🚀 We're Hiring: hashtag#Technical_Support_Engineer 🚀
📍 Location: Baner, hashtag#Pune
💼 Experience: 2–4 years
📊 Openings: 2 positions

Join our dynamic team and empower businesses with cutting-edge BI solutions and seamless support!

What You’ll Do:
🌐 Systems & Networking: Manage Linux/Unix systems and ensure seamless data flow.
📊 BI & Analytics: Build and maintain dashboards using tools like Incorta, Power BI, Tableau, and more.
☁️ Cloud Integration: Support cloud platforms (AWS, Azure, GCP).
💾 SQL & Data Integration: Optimize data processes and analytics solutions.

What We’re Looking For:
🔑 Expertise in Linux/Unix systems and networking.
📈 Hands-on experience with BI tools and SQL.
☁️ Familiarity with cloud platforms (AWS, Azure, GCP).
🚀 Bonus: Java application support and data warehousing experience.

💡 Why Join Us?
Collaborate on impactful projects.
Grow with cutting-edge technologies.
Be part of a team that values innovation and problem-solving.
Ready to take your career to the next level? Apply now and let’s make data-driven magic together!

Share your CV at anmolj@ithena.ai

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We are hiring : Data Scientist
Location- Noida (WFO)

Required Skills and Qualifications:
Experience: 3-5 years of experience in Data Science, AI, and Machine Learning.
Proficiency in Python, R, or other relevant programming languages.
Expertise in LLM fine-tuning, prompt engineering, and vector databases.
Experience with frameworks like LangChain, Hugging Face Transformers, or similar tools.
Strong knowledge of retrieval systems and knowledge bases for RAG pipelines.
Hands-on experience in deploying models in cloud environments like AWS, GCP, or Azure.

Interested candidates please share your CV at vaishali.tyagi@kiwitech.com

@Artificial_intelligence_ai

Telegram: https://t.me/Artificial_intelligence_AI