Most Iconic Shot by Virat Kohli against Pakistan. This match is my personal favourite match in the history of cricket ever. Can we again witness that much intense in #INDvsPAK match. #ViratKohli#ICCWorldCup2023#AsiaCup2023
@Rajiv1841 Not a player rather i would say whole indian team in 2011 world cup. Only then I got to realize that something big happening in our country which was quite exciting for a 6 year old boy (back then).
The amount of credit @surya_14kumar deserves for winning the world cup, we never gave him. Thanks to Gambhir and Agarkar for dropping him—now everyone realizes his true worth.
#indvseng@vikrantgupta73
After few good days, market again started to fall.
Nifty is already down by more than 200 points.
Does Iran Us Conflict is the main reason or something else?
The ultimate Full-stack AI Engineering roadmap to go from 0 to 100.
Bookmark this.
This is the exact mapped-out path on what it actually takes to go from Beginner → full-stack AI engineer.
> Start with coding fundamentals.
> Learn Python, Bash, Git, and testing.
> Every strong AI engineer starts with fundamentals.
> Learn how to interact with models by understanding LLM APIs.
> This will teach you structured outputs, caching, system prompts, etc.
> APIs are great, but raw LLMs still need the latest info to be effective.
> Learn how LLMs are usually augmented with more info/patterns.
> This will teach you the basics of fine-tuning, RAG, prompt/context engineering, etc.
> Strong LLMs are useless without context. That’s where Retrieval techniques help.
> Learn about vector DBs, hybrid retrieval, indexing strategies, etc.
> Once retrieval is solid, move into RAG.
> Learn to build retrieval + generation pipelines, reranking, and multi-step retrieval using popular orchestration frameworks.
> Now, step into AI Agents, where AI moves from answering to acting.
> Learn memory, multi-agent systems, human-in-the-loop design, Agentic patterns, etc.
> Learn how to ship in production with Infrastructure.
> This will teach you CI/CD, containers, model routing, Kubernetes, and deployment at scale.
> Focus on observability & evaluation.
> Learn how to create eval datasets, LLM-as-a-judge, tracing, instrumentation, and continuous evaluation pipelines.
> Security is crucial.
> Learn how to implement guardrails, sandboxing, prompt injection defenses, and ethical guidelines.
> Finally, explore advanced workflows.
> This covers voice & vision agents, CLI agents, robotics, agent swarms, and self-refining AI systems.
This is the actual journey to becoming a full-stack AI Engineer and not just "use” AI, but designing full-stack AI systems that can survive in production.
If you need specific resources, I wrote a detailed article that provides a structured learning roadmap for AI engineers in 2026.
It covers prompting, RAG, fine-tuning, agents, MCP, evals, and inference, with guidance on what to prioritize and in what order.
Read it below.
College fees in India are increasing every year but no one in government restrict them to do so.
In fact,the level of education in these institutes aren't upto the mark.
I am not tagging anyone in the government because they won't listen just putting my thoughts.
Thanks
@Singhis98130755@vikrantgupta73 Bhai, He captained India to their first-ever Border-Gavaskar Trophy series win in Australia. That wasn't normal—it was history. His team won't lose a match very often in home. But Now we are losing the series against these teams at our home conditions.