🚨Abhishek Sharma has three ducks in this World Cup. Forgetting his jersey in the last game only showed how heavy things might be feeling for him at the moment.
With the Super 8 stage starting, his head must feel like a pressure cooker.
In 2014, after three ducks and on the verge of dropping himself, how did then KKR captain Gautam Gambhir turn it around when everything seemed to be slipping away?
Time for Abhishek to borrow a page from his coach’s book?
@AgeasFederal@GautamGambhir #AbhishekSharma #T20WorldCup
#INDvAUS
Lisa Sthalekar calls for the India-Australia women's series to be called Fitzpatrick-Goswami Trophy or Rolton-Raj Trophy.
That second one has a nice ring to it.
🚨 Govt Should Make Dashcams Mandatory
Let Auto Companies Pre-Install in the Cars
Will Be Helpful in Resolving Accident Cases
Insurance Companies Can Also Use Data
India Badly Needs to Punish Bad Drivers
Stop wasting hours trying to learn AI. 📘📚
I have already done it for you.
With one list. Zero confusion. And no fluff
📹 Videos:
1. LLM Introduction: https://t.co/kyDon6qLrb
2. LLMs from Scratch: https://t.co/2hyMhuKoiI
3. Agentic AI Overview (Stanford): https://t.co/FXu6cAqITC
4. Building and Evaluating Agents: https://t.co/ZigR1tdOFL
5. Building Effective Agents: https://t.co/uYwfwO55mO
6. Building Agents with MCP: https://t.co/4arFTW1b3i
7. Building an Agent from Scratch: https://t.co/eOmveyM9Hz
8. Philo Agents: https://t.co/zLu7x1tx9m
🗂️ Repos
1. GenAI Agents: https://t.co/eXCl2YaRPv
2. Microsoft's AI Agents for Beginners: https://t.co/3CSW4zPAwf
3. Prompt Engineering Guide: https://t.co/GVzvxPYDVO
4. Hands-On Large Language Models: https://t.co/0rgDvhx3pI
5. AI Agents for Beginners: https://t.co/3CSW4zPAwf
6. GenAI Agentshttps://lnkd.in/dEt72MEy
7. Made with ML: https://t.co/9z5KHF9DMe
8. Hands-On AI Engineering:https://t.co/dldAj5Xkr6
9. Awesome Generative AI Guide: https://t.co/U2WZhT4ERV
10. Designing Machine Learning Systems: https://t.co/sYAZX34YdQ
11. Machine Learning for Beginners from Microsoft: https://t.co/NjFxHbC9jZ
12. LLM Course: https://t.co/N34YTPu1OK
🗺️ Guides
1. Google's Agent Whitepaper: https://t.co/bW3Ov3vMW0
2. Google's Agent Companion: https://t.co/wredwWAbBA
3. Building Effective Agents by Anthropic: https://t.co/fxtE4alVrJ.
4. Claude Code Best Agentic Coding practices: https://t.co/lLSwJ9pG7C
5. OpenAI's Practical Guide to Building Agents: https://t.co/xgkEIogGfh
📚Books:
1. Understanding Deep Learning: https://t.co/CjcKpTemmV
2. Building an LLM from Scratch: https://t.co/DaWBxOx8o3
3. The LLM Engineering Handbook: https://t.co/ZA1n0N41Mf
4. AI Agents: The Definitive Guide - Nicole Koenigstein: https://t.co/boLkl1VlKb
5. Building Applications with AI Agents - Michael Albada: https://t.co/H1Xf5EkJLL
6. AI Agents with MCP - Kyle Stratis: https://t.co/JI3ELQZE6a
7. AI Engineering: https://t.co/Xk0JzMIf7o
📜 Papers
1. ReAct: https://t.co/QNqE4UU55w
2. Generative Agents: https://t.co/CwEpoJgY1U.
3. Toolformer: https://t.co/5m9xZd5teZ
4. Chain-of-Thought Prompting: https://t.co/KjVlgdWi77.
🧑🏫 Courses:
1. HuggingFace's Agent Course: https://t.co/7FSUYKxIdG
2. MCP with Anthropic: https://t.co/IkZGiWm2yS
3. Building Vector Databases with Pinecone: https://t.co/2YRoMfLdXd
4. Vector Databases from Embeddings to Apps: https://t.co/23A50ixbHJ
5. Agent Memory: https://t.co/uc3L9BrNF7
Repost for your network ♻️
India needs to move towards One Nation, One Medical Treatment, where access to best medical care is available to all, regardless of income or influence.
That is exactly why I questioned the low health allocation in this Budget and demanded a relook in Parliament. In this Budget, health gets around 2% of total government expenditure, roughly ₹1 lakh crore. But the real gap is bigger.
Under the National Health Policy 2017, India committed to spending 2.5% of GDP on public health. In 2026, we are still at around 0.5% of GDP.We are nowhere near our own target.
Other countries understand the value of health spending. Kyonki jaan hai toh jahaan hai. The US spends around 18% of GDP on healthcare, the UK around 12%, Germany around 13%, and countries like Sweden, Netherlands, Denmark, Japan and Spain spend around 10%.
The consequences are visible. Government hospitals are understaffed and under-equipped. Overworked doctors, too few beds, shortages of machines and medicines, and waiting dates that delay treatment.
When families cannot wait, they are pushed to excruciatingly expensive private hospitals. One health emergency then becomes a debt emergency.
This man will single handedly stop dairy consumption in this country!
Amul / Mother Dairy/ Country Delight all of them failed in hygiene parameters
What is even FSSAI?! 🥲🥲