Founder | Agentic AI...ย โขย 2m
Top 3 AI Models: But How Do They Differ? Iโve given a simple breakdown of each one. ๐ฉ ๐ข๐ฝ๐ฒ๐ป๐๐ ๐๐ฃ๐ง GPT learns from massive datasets and human feedback to deliver accurate, logical, and well-balanced answers. 1. Collect diverse data โ merge
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Full stack engineer ...ย โขย 4m
Claude code + cursor is better than senior engineers if you know how to use them well. Programmers are in the dilemma and soon will have the biggest setback coz of the bubble of self proclaimed proudness they live in. Most of them can't code well o
See MoreSmart solutions, exp...ย โขย 7m
๐ง GitOps Just Got Smarter โ Meet Argo CD MCP Server + AI 93% of teams now use GitOps. But how many can talk to it? Insertlines Technologies introduces the Argo CD MCP Server-an AI-powered extension that lets you interact with Argo CD using natural
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Hey I am on Medialย โขย 7m
Build Your Own Open-Source Cursor Alternative (No Coding Experience Needed) Youโre going to build a mini-Cursor from scratch. Not a replica of every detail, but enough to read code, understand context, answer questions, run scripts, and help you wr
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Medialย โขย 6m
๐ ๐๐ฝ๐ฒ๐ป๐ ๐ฐ+ ๐ต๐ผ๐๐ฟ๐ ๐ฟ๐ฒ๐๐ฎ๐๐ฐ๐ต๐ถ๐ป๐ด ๐๐ฎ๐ฟ๐ฝ๐ฎ๐๐ต๐โ๐ ๐ฌ๐ ๐ธ๐ฒ๐๐ป๐ผ๐๐ฒ. And I realized โ weโve been looking at LLMs the wrong way. Theyโre not just โAI models.โ Theyโre a new kind of computer. โข LLM = CPU โข Context window = mem
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Founder | Agentic AI...ย โขย 3d
Most people even today don't know these skills. I've explained in very simple below. 1. ๐ฃ๐ฟ๐ผ๐บ๐ฝ๐ ๐๐ป๐ด๐ถ๐ป๐ฒ๐ฒ๐ฟ๐ถ๐ป๐ด Learning how to give clear, structured, and goal-driven instructions to AI models to get accurate and useful outputs. Eg: Ch
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Founder | Agentic AI...ย โขย 2m
2 core ways AI learns and when to use each. Iโve explained each in a simple, detailed way below. ๐ฃ๐ผ๐ถ๐ป๐ 1: ๐๐ ๐๐ฒ๐ฟ๐ป๐ฎ๐น ๐๐ป๐ผ๐๐น๐ฒ๐ฑ๐ด๐ฒ ๐ฅ๐๐ โข Pulls information from outside sources like APIs, PDFs, or databases โข Answers are based on
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Gigaversity.inย โขย 9m
We recently integrated an AI chatbot into our website to improve user support and engagement. Initial tests showed everything was working fine โ responses were fast, well-structured, and accurate. But once it went live, we started noticing something
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