Founder | Agentic AI...ย โขย 1m
SLM vs LLM โ which AI model is best for you? Iโve explained both in simple steps below. ๐ฆ๐๐ (๐ฆ๐บ๐ฎ๐น๐น ๐๐ฎ๐ป๐ด๐๐ฎ๐ด๐ฒ ๐ ๐ผ๐ฑ๐ฒ๐น) (๐ด๐ต๐ฆ๐ฑ-๐ฃ๐บ-๐ด๐ต๐ฆ๐ฑ) Lightweight AI models built for speed, focus, and on-device execution. 1. ๐๐ฒ๐ณ๐ถ๐ป๐ฒ ๐๐ฝ๐ฒ๐ฐ๐ถ๐ณ๐ถ๐ฐ ๐ด๐ผ๐ฎ๐น โ Set a narrow and clear purpose for the model. 2. ๐๐ผ๐น๐น๐ฒ๐ฐ๐ ๐๐ฎ๐ฟ๐ด๐ฒ๐๐ฒ๐ฑ ๐ฑ๐ฎ๐๐ฎ โ Gather only the most relevant training examples. 3. ๐๐ฎ๐ป๐ฑ๐ฝ๐ถ๐ฐ๐ธ ๐๐ฟ๐ฎ๐ถ๐ป๐ถ๐ป๐ด ๐๐ฎ๐บ๐ฝ๐น๐ฒ๐ โ Use curated, high-quality data for accuracy. 4. ๐๐ถ๐บ๐ถ๐ ๐ธ๐ป๐ผ๐๐น๐ฒ๐ฑ๐ด๐ฒ ๐๐ฐ๐ผ๐ฝ๐ฒ โ Focus learning on one domain or task type. 5. ๐ข๐ฝ๐๐ถ๐บ๐ถ๐๐ฒ ๐๐ฟ๐ฎ๐ถ๐ป๐ถ๐ป๐ด ๐ฝ๐ฟ๐ผ๐ฐ๐ฒ๐๐ โ Fine-tune parameters for fast, efficient learning. 6. ๐๐ผ๐บ๐ฝ๐ฟ๐ฒ๐๐ ๐ฎ๐ป๐ฑ ๐ฟ๐ฒ๐ณ๐ถ๐ป๐ฒ ๐บ๐ผ๐ฑ๐ฒ๐น โ Shrink size to run smoothly on devices. 7. ๐๐ป๐ฎ๐ฏ๐น๐ฒ ๐ฒ๐ฑ๐ด๐ฒ-๐ฏ๐ฎ๐๐ฒ๐ฑ ๐ฒ๐ ๐ฒ๐ฐ๐๐๐ถ๐ผ๐ป โ Deploy directly on phones or small systems. 8. ๐๐ป๐๐๐ฟ๐ฒ ๐น๐ผ๐ ๐น๐ฎ๐๐ฒ๐ป๐ฐ๐ โ Generate instant, real-time responses for users. 9. ๐๐ฒ๐น๐ถ๐๐ฒ๐ฟ ๐๐ฎ๐๐ธ-๐ฑ๐ฟ๐ถ๐๐ฒ๐ป ๐ผ๐๐๐ฝ๐๐ โ Produce short, accurate, goal-specific results. _____________________________________________ ๐๐๐ (๐๐ฎ๐ฟ๐ด๐ฒ ๐๐ฎ๐ป๐ด๐๐ฎ๐ด๐ฒ ๐ ๐ผ๐ฑ๐ฒ๐น) (๐ด๐ต๐ฆ๐ฑ-๐ฃ๐บ-๐ด๐ต๐ฆ๐ฑ) Powerful AI systems trained on massive, multi-domain data for deeper reasoning. โข ๐ฆ๐ฒ๐ ๐ฏ๐ฟ๐ผ๐ฎ๐ฑ ๐ด๐ผ๐ฎ๐น โ Tackle open-ended and complex language problems. โข ๐๐ผ๐น๐น๐ฒ๐ฐ๐ ๐บ๐ฎ๐๐๐ถ๐๐ฒ ๐ฑ๐ฎ๐๐ฎ โ Gather diverse text from global sources online. โข ๐๐ฒ๐ฎ๐ฟ๐ป ๐ฎ๐ฐ๐ฟ๐ผ๐๐ ๐ฑ๐ผ๐บ๐ฎ๐ถ๐ป๐ โ Build understanding across many topics and fields. โข ๐ง๐ฟ๐ฎ๐ถ๐ป ๐๐ถ๐๐ต ๐ฝ๐ผ๐๐ฒ๐ฟ โ Use extensive GPUs for long training cycles. โข ๐๐ฑ๐ฑ ๐ฑ๐ผ๐บ๐ฎ๐ถ๐ป ๐ณ๐ผ๐ฐ๐๐ โ Fine-tune for specialized areas like law or health. โข ๐๐ผ๐๐ ๐ผ๐ป ๐ฐ๐น๐ผ๐๐ฑ โ Requires scalable and powerful remote servers. โข ๐๐ป๐ฎ๐ฏ๐น๐ฒ ๐ฝ๐ฎ๐ฟ๐ฎ๐น๐น๐ฒ๐น ๐ฝ๐ฟ๐ผ๐ฐ๐ฒ๐๐๐ถ๐ป๐ด โ Distribute work across multiple compute nodes. โข ๐๐ฒ๐ป๐ฒ๐ฟ๐ฎ๐๐ฒ ๐ฐ๐ฟ๐ฒ๐ฎ๐๐ถ๐๐ฒ ๐ผ๐๐๐ฝ๐๐๐ โ Produce context-rich and flexible responses. โข ๐๐๐ผ๐น๐๐ฒ ๐๐ถ๐๐ต ๐ณ๐ฒ๐ฒ๐ฑ๐ฏ๐ฎ๐ฐ๐ธ โ Improve accuracy and reasoning over time. _____________________________________________ ๐ฃ๐ฟ๐ฎ๐ฐ๐๐ถ๐ฐ๐ฎ๐น ๐ง๐ฟ๐ฎ๐ฑ๐ฒ๐ผ๐ณ๐ณ๐ โข ๐๐ผ๐๐: SLM low โ โ LLM high โข ๐ฆ๐ฝ๐ฒ๐ฒ๐ฑ: SLM very fast โ โ LLM slower (network + compute) โข ๐๐ฐ๐ฐ๐๐ฟ๐ฎ๐ฐ๐ ๐ผ๐ป ๐ป๐ฎ๐ฟ๐ฟ๐ผ๐ ๐๐ฎ๐๐ธ: SLM high โ โ LLM good (but sometimes overkill) โข ๐๐ฒ๐ป๐ฒ๐ฟ๐ฎ๐น ๐ธ๐ป๐ผ๐๐น๐ฒ๐ฑ๐ด๐ฒ & ๐ฐ๐ฟ๐ฒ๐ฎ๐๐ถ๐๐ถ๐๐: SLM limited โ โ LLM strong โข ๐ฃ๐ฟ๐ถ๐๐ฎ๐ฐ๐: SLM better โ โ LLM riskier unless secured ๐ช๐ต๐ถ๐ฐ๐ต ๐ผ๐ป๐ฒ ๐ถ๐ ๐ฏ๐ฒ๐๐ ๐ณ๐ผ๐ฟ ๐๐ผ๐๐ฟ ๐ฏ๐๐๐ถ๐ป๐ฒ๐๐? ๐ง๐ฎ๐๐ธ: Simple/repetitive โ ๐ฆ๐๐ | Complex/creative โ ๐๐๐ ๐ฅ๐๐ป: On-device/offline โ ๐ฆ๐๐ | Cloud OK โ ๐๐๐ ๐ฆ๐ฝ๐ฒ๐ฒ๐ฑ: Instant โ ๐ฆ๐๐ | Slower OK โ ๐๐๐ ๐๐๐ฑ๐ด๐ฒ๐: Low โ ๐ฆ๐๐ | High โ ๐๐๐ ๐ฃ๐ฟ๐ถ๐๐ฎ๐ฐ๐: Must stay local โ ๐ฆ๐๐ | Managed data OK โ ๐๐๐ โ Repost for others in your network who can benefit from this.

Founder | Agentic AI...ย โขย 1m
2 ways AI systems today generate smarter answers. Iโve explained both in simple steps below. ๐ฅ๐๐ (๐ฅ๐ฒ๐๐ฟ๐ถ๐ฒ๐๐ฎ๐น-๐๐๐ด๐บ๐ฒ๐ป๐๐ฒ๐ฑ ๐๐ฒ๐ป๐ฒ๐ฟ๐ฎ๐๐ถ๐ผ๐ป) (๐ด๐ต๐ฆ๐ฑ-๐ฃ๐บ-๐ด๐ต๐ฆ๐ฑ) RAG lets AI fetch and use real-time external information to ge
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Founder | Agentic AI...ย โขย 25d
Your AI sucks because itโs stuck at Level 1. You can easily take it to Level 3. I've explained below. ๐ฆ๐๐ฒ๐ฝ 1 โ ๐๐ฎ๐๐ถ๐ฐ ๐๐๐ (๐๐ผ๐ฐ๐๐บ๐ฒ๐ป๐ ๐ฃ๐ฟ๐ผ๐ฐ๐ฒ๐๐๐ถ๐ป๐ด) โข This is the simplest level of AI systems. โข You give input text or a docu
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Founder | Agentic AI...ย โขย 23d
2 main frameworks powering todayโs AI workflows. Iโve explained both in simple steps below. ๐ก๐ด๐ก (๐๐ถ๐ป๐ฒ๐ฎ๐ฟ ๐๐ด๐ฒ๐ป๐ ๐๐น๐ผ๐) (๐ด๐ต๐ฆ๐ฑ-๐ฃ๐บ-๐ด๐ต๐ฆ๐ฑ) N8N lets AI follow a ๐๐๐ฟ๐ฎ๐ถ๐ด๐ต๐, ๐๐ถ๐๐๐ฎ๐น ๐๐ผ๐ฟ๐ธ๐ณ๐น๐ผ๐, moving step-by-step
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Founder | Agentic AI...ย โขย 3m
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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Founder | Agentic AI...ย โขย 29d
If you know TOON, youโre ahead of 99% of people. JSON is dead. TOON is for modern AI systems. If youโre still sending JSON to your LLMsโฆ youโre wasting money. ๐ง๐ข๐ข๐ก (๐ง๐ผ๐ธ๐ฒ๐ป-๐ข๐ฟ๐ถ๐ฒ๐ป๐๐ฒ๐ฑ ๐ข๐ฏ๐ท๐ฒ๐ฐ๐ ๐ก๐ผ๐๐ฎ๐๐ถ๐ผ๐ป) is the new standard
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Founder | Agentic AI...ย โขย 1m
2 frameworks powering next generation of AI apps. Hereโs how LangGraph and LangChain make it happen. ๐๐๐ก๐๐๐ฅ๐๐ฃ๐ (๐๐๐ฒ๐ฝ-๐ฏ๐-๐๐๐ฒ๐ฝ) LangGraph is a graph-driven framework for building dynamic, multi-agent AI workflows. 1. ๐๐ฒ๐ณ๐ถ๐ป๐ฒ
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Founder | Agentic AI...ย โขย 7d
8 common LLM types used in modern agent systems. 1) GPT (Generative Pretrained Transformer) Core model for many agents, strong in language understanding, generation, and instruction following. 2) MoE (Mixture of Experts) Routes tasks to specialized
See MoreFounder | Agentic AI...ย โขย 1m
Get RAG-ready data from any unstructured document. This is crazy for AI companies. I've explained below. ๐ฆ๐๐ฒ๐ฝ 1 โ ๐จ๐ป๐๐๐ฟ๐๐ฐ๐๐๐ฟ๐ฒ๐ฑ ๐๐ผ๐ฐ๐๐บ๐ฒ๐ป๐๐ (๐ง๐ต๐ฒ ๐ฆ๐ผ๐๐ฟ๐ฐ๐ฒ) โข Real-world PDFs and documents are messy. Tables, images, signa
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ย โขย
itch.ioย โขย 1m
Imagine playing an RPG game where NPCs r integrated with an AI API, so they can actually talk to u while staying in character. This isn't a future thing actually. I worked with this kind of stuff before with "Jarvis Desktop". And for real this is
See MoreHey I am on Medialย โขย 9m
"๐ ๐ผ๐๐ ๐ฝ๐ฒ๐ผ๐ฝ๐น๐ฒ ๐ฆ๐ง๐๐๐ ๐บ๐ถ๐๐๐ป๐ฑ๐ฒ๐ฟ๐๐๐ฎ๐ป๐ฑ ๐๐ โ ๐๐ฒ๐ฟ๐ฒโ๐ ๐๐ต๐ฎ๐ ๐ถ๐ ๐ฟ๐ฒ๐ฎ๐น๐น๐ ๐น๐ผ๐ผ๐ธ๐ ๐น๐ถ๐ธ๐ฒ! โฌ๏ธ Everyone talks about AI, but AI is not just "one thing" (and also not just ChatGPT)! Artificial Intelligence is often m
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