https://t.co/3m0pPbuqto
If you think that action should be taken against education minister for leaking NEET exam of our children, sign this petition.
#ugc_काला_कानून_वापस_लो
This is nonsense, all students should be protected from caste discrimination, not 85%. SC is 17% of pop, ST 8%, OBC 40%, minorities 20%, total 85%, are you saying 15% discriminate against the 85%. Where is this discrimination? Where is this data? There are 4.3 cr students in colleges. How many cases are there?
Sc did not put these regulations- only asked @ugc_india to have a look and they went overboard. This has to go! Grossly discriminating. Protect all students from discrimination. @dpradhanbjp@AmitShah
🚨 BIG BREAKING
UGC to issue a CLARIFICATION on the NEW rule.
Modi government will form a HIGH-LEVEL committee comprising EDUCATION EXPERTS, officials, and UGC to review the matter.
झूठी शिकायत क्यों स्वीकार हो ? और झूठी शिकायत करने वाला क्यों दंडित ना हो ? वह किसी जाति का हो,वर्ग का हो ,समाज का हो, अगड़े का हो, पिछड़े का हो, दलित हो आद��वासी हो जो झूठी शिकायत करे उसे तो दंड मिलना ही चाहिए। "वो clause हटा दिया.." यानी दुरुपयोग के लिए यह व्यवस्था हाईवे पर आ गई,,, दुरुपयोग के एक्सेस वे पर आ गई, यहां कोई गति अवरोधक है ही नहीं।
जिसका जो मन आए वह चाहे किसी के खिलाफ शिकायत ठोंक दे,, मान लो शिकायत फर्जी भी निकली तो अपना पान खाए और मस्त घूमे। क्योंकि उसके खिलाफ तो कुछ हो नहीं सकता।
इसके पीछे लगता है कुछ माइंडसेट भी काम कर रहा है एक अलग किस्म का�� सारी चीजें यदि यथा स्थिति पर भी मान लें तो भी यदि इतना ही होता बहुत स्पष्ट ढंग से कि झूठी पाई गई शिकायत तो खैर नहीं। यदि यह होता तो भी हम मान लेते कि चलो ठीक है।
@Aamitabh2 🔥
#UGC_RollBack
#DesiGaay #NationalGirlChildDay
🏗️ The 11 Steps of Agentic Architecture
1. User / Application Layer
The entry point. Whether it’s a Chat UI or an API, this is where the raw intent is captured. In the example, the user wants a full "Robot-themed party plan."
2. AI Gateway
Before the LLM even sees the request, the Gateway handles the "adulting":
• Auth & Rate Limiting: Protecting your infra.
• Policy & PII Filtering: Ensuring no sensitive data leaks out.
3. Model Router / LLM Access
Not every task needs GPT-4o or Claude 3.5 Sonnet. The Router chooses the best model based on cost, latency, or specific capability (e.g., small models for summarization, large models for complex reasoning).
4. Planner / Reasoning Layer
This is the "Brain." Instead of answering immediately, the agent decomposes the big request into smaller tasks:
• Task 1: Search for robot games.
• Task 2: Find cake recipes.
• Task 3: Draft the guest list.
5. Memory & Cache
Agents need context.
• Short-term: What did we just talk about?
• Long-term: User preferences (e.g., "The user hates the color red").
6. RAG Pipeline
The agent reaches into your private data. It uses Vector DBs and Hybrid Search to pull relevant context that wasn't in its original training data.
7. MCP - Tool Access Layer (The Game Changer)
The Model Context Protocol (MCP) allows agents to actually do things. It connects the agent to SQL databases, Slack, Jira, or Google Search.
8. A2A & Recovery
• Agent-to-Agent: One agent might be a "Researcher" while another is a "Critic." They talk to each other to refine the output.
• Recovery: If a tool call fails, the system triggers a retry or a fallback strategy rather than just crashing.
9. Execution Runtime
This is the sandbox where the code actually runs. It manages the state and handles parallel calls to speed up the process.
10. Guardrails
The "Safety Referee." Before the plan reaches the user, it’s checked for:
• Factuality: Is the information real or a hallucination?
• Tone: Does it align with the brand voice?
11. Response Generation & Delivery
The final plan is packaged with citations and UI artifacts (like a PDF or a calendar invite) and delivered back to the user.
📊 Why this matters?
Moving to an agentic workflow means shifting from Prompt Engineering to System Engineering. You aren't just writing text; you're managing state, orchestrating microservices, and building feedback loops.
The stack is evolving. Are you?
Which part of this architecture are you currently struggling with most?
• A) Planning & Reasoning
• B) Tool Integration (MCP)
• C) Evaluation & Guardrails
Let’s discuss in the comments! 👇
#AI #GenerativeAI #SoftwareEngineering #LLM #AgenticAI #MachineLearning #SystemDesign
Entity named “Trade Karo” operating illegal advisory
#NSE has issued attached press releases cautioning the investors not to deal with aforesaid person/entities.