
Priyanka Vergadia
@pvergadia • 49,927 subscribers
15 Years building AI and Cloud @Google @Microsoft @Intel | #1 Visual Storyteller in Tech | TED Speaker | DM for Collabs | Opinions = mine
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This girl literally explains the AI Bubble in 12 mins! (Who is this girl?!😀)
Priyanka Vergadia77,166 просмотров • 9 месяцев назад

BREAKING: Microsoft just launched its own AI model family and the coding model inside GitHub Copilot. MAI-Code-1-Flash. Shipped to every Copilot tier. I just tested it to build an app. Check out the video 👇 85.8% benchmark score. 256K context. 60% token reduction on hard tasks. Here are the other models. → MAI-Code-1-Flash (coding, free) → MAI-Thinking-1 (reasoning, 35B params) → MAI-Image-2.5 (image generation) → MAI-Transcribe-1.5 (speech, 43 languages)
Priyanka Vergadia37,018 просмотров • 4 месяцев назад

JP Morgan revealed the exact architecture behind "Ask David" their investment research AI agent. Supervisor. Subagents. Judge. Human. Here's the whole stack. → 1 supervisor agent routes and orchestrates → Specialized subagents handle retrieval, structured data, and analytics separately → LLM-as-judge reflection runs before any answer leaves the system → Human-in-the-loop patches the last mile accuracy gap AI can't solve alone Every serious agent team is converging on this pattern. JP Morgan just confirmed it works at enterprise scale. Build accordingly. worth watching 👇
Priyanka Vergadia17,119 просмотров • 5 месяцев назад

DO NOT Install Clawdbot/Moltbot until you watch this!
Priyanka Vergadia22,326 просмотров • 9 месяцев назад

This video literally explains AI Agents in 19 minutes.
Priyanka Vergadia19,868 просмотров • 9 месяцев назад

In my recent interactions with CTOs and Eng managers, this is coming up a lot: The SDLC is changing shape. We are moving from the "Middle Heavy: Coding" era to the Hourglass. Let me explain! Here is the breakdown of the Agentic SDLC: 🔻 THE TOP: INTENT (Heavy) The "Source Code" is no longer the syntax; it’s the specs, the docs, and the customer signals. Why: AI executes literally. Vague intent = Broken product. The Job: Context Engineering. 🔺 THE MIDDLE: BUILD (Collapsed) The actual coding phase is becoming invisible infrastructure. Why: AI Agents handle the syntax, the grind, and the boilerplate. The Job: Supervision, not translation. 🔺 THE BOTTOM: VERIFICATION (Heavy) This is the new constraint. Traditional Peer Reviews cannot keep up with AI speed. Why: You can't manually review 1,000 lines of generated code in 10 minutes. The Job: Building automated guardrails and safety checks. The Bottom Line: Treat your Project Management workspace like your compiler. If the input (intent) is buggy, the output (software) will be broken—faster than ever before. #EngineeringManagement #CTO #AI #SoftwareDevelopment #Agile #SDLC
Priyanka Vergadia18,085 просмотров • 9 месяцев назад

Andrej Karpathy spent a weekend building something the world wasn't ready for. The idea: don't trust one model. Make them debate each other. He called it LLM Council. GPT, Claude, Gemini, Grok, same prompt. Every model critiquing each other. A "Chairman" AI synthesizing truth from their disagreements. He called it a "vibe coded hack." It went viral within the hour. Because everyone already knew he was right. MIT proved it, accuracy jumps from 70% to 95% when models debate instead of answer alone. The problem? It runs locally. You need Python. A terminal. Most people can't or won't set it up. So they went back to doing it manually: → Ask ChatGPT. Get an answer. → Paste into Claude. Different answer. → Paste into Gemini. Another. → Compare. Lose your train of thought. Give up. I discovered Cuey, which is literally Karpathy's insight (LLM Council) made accessible for EVERYONE! 👍 It's a Chrome extension 👍 You write just one prompt 👍 30+ models debate in the background 👍 No terminal. No setup. No copy-pasting. We need more solutions like this that allows more people to get the most from AI without coding. Give it a try →
Priyanka Vergadia12,246 просмотров • 5 месяцев назад

Here is a quick look at the newly announced #DuetAI for Google Cloud which is an always-on AI collaborator that uses generative AI to: 👍 provide contextual code completion 👍 generate entire functions in real-time 👍 provide suggestions tuned to your code base 👍 assist you with code reviews and inspections 👉 learn more 👉 Wanna try? Sign up #GenAI #GoogleIO
Priyanka Vergadia12,809 просмотров • 3 лет назад
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