Founder | Agentic AI...ย โขย 3h
3 ways AI systems are deployed today. Iโve explained each method below in simple steps. 1.) ๐๐น๐ผ๐๐ฑ ๐๐ฒ๐ฝ๐น๐ผ๐๐บ๐ฒ๐ป๐ (๐๐๐ฒ๐ฝ-๐ฏ๐-๐๐๐ฒ๐ฝ) ๐๐น๐ผ๐: โข ๐จ๐๐ฒ๐ฟ ๐๐๐ฏ๐บ๐ถ๐๐ ๐ฟ๐ฒ๐พ๐๐ฒ๐๐ - User types a query or command. โข ๐๐น๐ผ๐๐ฑ ๐ฟ๐ผ๐๐๐ถ๐ป๐ด โ Request travels through the internet to servers. โข ๐ค๐๐ฒ๐ฟ๐ ๐ฟ๐ฒ๐ฎ๐ฐ๐ต๐ฒ๐ ๐ฑ๐ฎ๐๐ฎ ๐ฐ๐ฒ๐ป๐๐ฒ๐ฟ โ Request arrives at remote cloud facility. โข ๐๐น๐น๐ผ๐ฐ๐ฎ๐๐ฒ ๐๐ฃ๐จ๐/๐ง๐ฃ๐จ๐ โ Powerful hardware assigned for model processing. โข ๐ ๐ผ๐ฑ๐ฒ๐น ๐ฒ๐ ๐ฒ๐ฐ๐๐๐ถ๐ผ๐ป โ AI model runs and processes input data. โข ๐๐ฒ๐ป๐ฒ๐ฟ๐ฎ๐๐ฒ ๐ฟ๐ฒ๐๐ฝ๐ผ๐ป๐๐ฒ โ Model creates a suitable text or result. โข ๐ฆ๐ฎ๐ณ๐ฒ๐๐ & ๐บ๐ผ๐ฑ๐ฒ๐ฟ๐ฎ๐๐ถ๐ผ๐ป ๐ฐ๐ต๐ฒ๐ฐ๐ธ๐ โ Filters remove unsafe or sensitive content. โข ๐ฃ๐ฟ๐ผ๐ฑ๐๐ฐ๐ฒ ๐ผ๐๐๐ฝ๐๐ ๐๐ผ๐ธ๐ฒ๐ป๐ โ Converts model result into final text output. โข ๐ฅ๐ฒ๐๐ฝ๐ผ๐ป๐๐ฒ ๐ฟ๐ฒ๐๐๐ฟ๐ป๐ฒ๐ฑ ๐๐ผ ๐๐๐ฒ๐ฟ โ Sends final answer back to userโs device. _____________________________________________ 2.) ๐๐ฑ๐ด๐ฒ ๐๐ฒ๐ฝ๐น๐ผ๐๐บ๐ฒ๐ป๐ (๐๐๐ฒ๐ฝ-๐ฏ๐-๐๐๐ฒ๐ฝ) ๐๐น๐ผ๐: โข ๐จ๐๐ฒ๐ฟ ๐ถ๐ป๐ฝ๐๐ ๐ฟ๐ฒ๐ฐ๐ฒ๐ถ๐๐ฒ๐ฑ โ User sends a request via app. โข ๐๐ฑ๐ด๐ฒ ๐ฟ๐ผ๐๐๐ถ๐ป๐ด โ Request goes to the closest edge server. โข ๐ข๐ฝ๐๐ถ๐บ๐ถ๐๐ฒ๐ฑ ๐บ๐ผ๐ฑ๐ฒ๐น ๐น๐ผ๐ฎ๐ฑ๐ถ๐ป๐ด โ Loads a smaller, faster AI model. โข ๐๐ผ๐ฐ๐ฎ๐น ๐บ๐ผ๐ฑ๐ฒ๐น ๐ฒ๐ ๐ฒ๐ฐ๐๐๐ถ๐ผ๐ป โ Model processes data on the edge. โข ๐๐ฎ๐๐ฒ๐ป๐ฐ๐โ๐ฎ๐ฐ๐ฐ๐๐ฟ๐ฎ๐ฐ๐ ๐ฏ๐ฎ๐น๐ฎ๐ป๐ฐ๐ฒ โ Trades some accuracy for quick output. โข ๐ฅ๐ฒ๐๐ฝ๐ผ๐ป๐๐ฒ ๐ด๐ฒ๐ป๐ฒ๐ฟ๐ฎ๐๐ถ๐ผ๐ป โ Edge server creates the final answer. โข ๐๐ฎ๐ฐ๐ต๐ฒ ๐ฟ๐ฒ๐๐๐น๐๐ ๐ณ๐ผ๐ฟ ๐ฟ๐ฒ๐๐๐ฒ โ Saves common results for next time. โข ๐ข๐๐๐ฝ๐๐ ๐ฑ๐ฒ๐น๐ถ๐๐ฒ๐ฟ๐ โ Sends response back to the userโs device. โข ๐ค๐๐ถ๐ฐ๐ธ ๐ฟ๐ฒ๐๐ฝ๐ผ๐ป๐๐ฒ ๐ผ๐ฏ๐๐ฒ๐ฟ๐๐ฒ๐ฑ โ User gets results almost instantly. _____________________________________________ 3.) ๐ข๐ป-๐๐ฒ๐๐ถ๐ฐ๐ฒ ๐๐ฒ๐ฝ๐น๐ผ๐๐บ๐ฒ๐ป๐ (๐๐๐ฒ๐ฝ-๐ฏ๐-๐๐๐ฒ๐ฝ) ๐๐น๐ผ๐: โข ๐จ๐๐ฒ๐ฟ ๐ถ๐ป๐ฝ๐๐ ๐ผ๐ป ๐ฑ๐ฒ๐๐ถ๐ฐ๐ฒ โ User asks a question or gives a command. โข ๐๐ฒ๐๐ถ๐ฐ๐ฒ ๐ฟ๐ฒ๐๐ผ๐๐ฟ๐ฐ๐ฒ ๐ฐ๐ต๐ฒ๐ฐ๐ธ โ App checks memory, CPU, and GPU status. โข ๐ฉ๐ฒ๐ฟ๐ถ๐ณ๐ ๐บ๐ฒ๐บ๐ผ๐ฟ๐ ๐ฎ๐๐ฎ๐ถ๐น๐ฎ๐ฏ๐ถ๐น๐ถ๐๐ โ Confirms enough space to load the model. โข ๐๐ต๐ฒ๐ฐ๐ธ ๐๐ฃ๐จ/๐๐ฃ๐จ ๐ฐ๐ฎ๐ฝ๐ฎ๐ฐ๐ถ๐๐ โ Ensures device can handle model tasks. โข ๐๐ผ๐ฐ๐ฎ๐น ๐บ๐ผ๐ฑ๐ฒ๐น ๐ฒ๐ ๐ฒ๐ฐ๐๐๐ถ๐ผ๐ป โ Model runs fully on the device. โข ๐ฅ๐ฒ๐๐ฝ๐ผ๐ป๐๐ฒ ๐ด๐ฒ๐ป๐ฒ๐ฟ๐ฎ๐๐ถ๐ผ๐ป ๐น๐ผ๐ฐ๐ฎ๐น๐น๐ โ Model creates the answer offline. โข ๐๐ถ๐น๐๐ฒ๐ฟ ๐น๐ผ๐ฐ๐ฎ๐น๐น๐ โ Runs safety filters on the device. โข ๐ฃ๐ฟ๐ผ๐ฑ๐๐ฐ๐ฒ ๐ฐ๐ผ๐บ๐ฝ๐ฎ๐ฐ๐ ๐๐ผ๐ธ๐ฒ๐ป๐ โ Generates lightweight output for display. โข ๐ฅ๐ฒ๐๐ฝ๐ผ๐ป๐๐ฒ ๐๐ต๐ผ๐๐ป ๐ถ๐บ๐บ๐ฒ๐ฑ๐ถ๐ฎ๐๐ฒ๐น๐ โ User gets instant, private results offline. โ ๐๐ผ๐ ๐๐ผ ๐ฐ๐ต๐ผ๐ผ๐๐ฒ (๐๐ถ๐บ๐ฝ๐น๐ฒ ๐ฐ๐ต๐ฒ๐ฐ๐ธ๐น๐ถ๐๐)? โข Need maximum accuracy or heavy processing? โ ๐๐น๐ผ๐๐ฑ. โข Need lower latency and regional performance? โ ๐๐ฑ๐ด๐ฒ. โข Need privacy/offline and instant replies? โ ๐ข๐ป-๐ฑ๐ฒ๐๐ถ๐ฐ๐ฒ. โ Repost for others in your network who can benefit from this.

Founder | Agentic AI...ย โขย 3d
4 different ways of training LLM's. I've given a simple detailed explanation below. 1.) ๐๐ฐ๐ฐ๐๐ฟ๐ฎ๐๐ฒ ๐๐ฎ๐๐ฎ ๐๐๐ฟ๐ฎ๐๐ถ๐ผ๐ป (๐๐๐ฒ๐ฝ-๐ฏ๐-๐๐๐ฒ๐ฝ) Prepares clean, consistent, and useful data so the model learns effectively. 1. Collect text
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Founder | Agentic AI...ย โขย 2m
3 ways how most AI systems are built. Iโve explained each one step-by-step. 1) ๐ง๐ฟ๐ฎ๐ฑ๐ถ๐๐ถ๐ผ๐ป๐ฎ๐น ๐๐ (๐๐๐ฒ๐ฝ-๐ฏ๐-๐๐๐ฒ๐ฝ) 1. ๐ฆ๐ฒ๐ ๐๐ฎ๐๐ธ โ Decide what problem the model should solve. 2. ๐๐ผ๐น๐น๐ฒ๐ฐ๐ ๐ฑ๐ฎ๐๐ฎ โ Gather lots of example
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