Back

Rahul Agarwal

Founder | Agentic AI...ย โ€ขย 1m

SLM vs LLM โ€” which AI model is best for you? Iโ€™ve explained both in simple steps below. ๐—ฆ๐—Ÿ๐—  (๐—ฆ๐—บ๐—ฎ๐—น๐—น ๐—Ÿ๐—ฎ๐—ป๐—ด๐˜‚๐—ฎ๐—ด๐—ฒ ๐— ๐—ผ๐—ฑ๐—ฒ๐—น) (๐˜ด๐˜ต๐˜ฆ๐˜ฑ-๐˜ฃ๐˜บ-๐˜ด๐˜ต๐˜ฆ๐˜ฑ) Lightweight AI models built for speed, focus, and on-device execution. 1. ๐——๐—ฒ๐—ณ๐—ถ๐—ป๐—ฒ ๐˜€๐—ฝ๐—ฒ๐—ฐ๐—ถ๐—ณ๐—ถ๐—ฐ ๐—ด๐—ผ๐—ฎ๐—น โ€“ Set a narrow and clear purpose for the model. 2. ๐—–๐—ผ๐—น๐—น๐—ฒ๐—ฐ๐˜ ๐˜๐—ฎ๐—ฟ๐—ด๐—ฒ๐˜๐—ฒ๐—ฑ ๐—ฑ๐—ฎ๐˜๐—ฎ โ€“ Gather only the most relevant training examples. 3. ๐—›๐—ฎ๐—ป๐—ฑ๐—ฝ๐—ถ๐—ฐ๐—ธ ๐˜๐—ฟ๐—ฎ๐—ถ๐—ป๐—ถ๐—ป๐—ด ๐˜€๐—ฎ๐—บ๐—ฝ๐—น๐—ฒ๐˜€ โ€“ Use curated, high-quality data for accuracy. 4. ๐—Ÿ๐—ถ๐—บ๐—ถ๐˜ ๐—ธ๐—ป๐—ผ๐˜„๐—น๐—ฒ๐—ฑ๐—ด๐—ฒ ๐˜€๐—ฐ๐—ผ๐—ฝ๐—ฒ โ€“ Focus learning on one domain or task type. 5. ๐—ข๐—ฝ๐˜๐—ถ๐—บ๐—ถ๐˜‡๐—ฒ ๐˜๐—ฟ๐—ฎ๐—ถ๐—ป๐—ถ๐—ป๐—ด ๐—ฝ๐—ฟ๐—ผ๐—ฐ๐—ฒ๐˜€๐˜€ โ€“ Fine-tune parameters for fast, efficient learning. 6. ๐—–๐—ผ๐—บ๐—ฝ๐—ฟ๐—ฒ๐˜€๐˜€ ๐—ฎ๐—ป๐—ฑ ๐—ฟ๐—ฒ๐—ณ๐—ถ๐—ป๐—ฒ ๐—บ๐—ผ๐—ฑ๐—ฒ๐—น โ€“ Shrink size to run smoothly on devices. 7. ๐—˜๐—ป๐—ฎ๐—ฏ๐—น๐—ฒ ๐—ฒ๐—ฑ๐—ด๐—ฒ-๐—ฏ๐—ฎ๐˜€๐—ฒ๐—ฑ ๐—ฒ๐˜…๐—ฒ๐—ฐ๐˜‚๐˜๐—ถ๐—ผ๐—ป โ€“ Deploy directly on phones or small systems. 8. ๐—˜๐—ป๐˜€๐˜‚๐—ฟ๐—ฒ ๐—น๐—ผ๐˜„ ๐—น๐—ฎ๐˜๐—ฒ๐—ป๐—ฐ๐˜† โ€“ Generate instant, real-time responses for users. 9. ๐——๐—ฒ๐—น๐—ถ๐˜ƒ๐—ฒ๐—ฟ ๐˜๐—ฎ๐˜€๐—ธ-๐—ฑ๐—ฟ๐—ถ๐˜ƒ๐—ฒ๐—ป ๐—ผ๐˜‚๐˜๐—ฝ๐˜‚๐˜ โ€“ Produce short, accurate, goal-specific results. _____________________________________________ ๐—Ÿ๐—Ÿ๐—  (๐—Ÿ๐—ฎ๐—ฟ๐—ด๐—ฒ ๐—Ÿ๐—ฎ๐—ป๐—ด๐˜‚๐—ฎ๐—ด๐—ฒ ๐— ๐—ผ๐—ฑ๐—ฒ๐—น) (๐˜ด๐˜ต๐˜ฆ๐˜ฑ-๐˜ฃ๐˜บ-๐˜ด๐˜ต๐˜ฆ๐˜ฑ) Powerful AI systems trained on massive, multi-domain data for deeper reasoning. โ€ข ๐—ฆ๐—ฒ๐˜ ๐—ฏ๐—ฟ๐—ผ๐—ฎ๐—ฑ ๐—ด๐—ผ๐—ฎ๐—น โ€“ Tackle open-ended and complex language problems. โ€ข ๐—–๐—ผ๐—น๐—น๐—ฒ๐—ฐ๐˜ ๐—บ๐—ฎ๐˜€๐˜€๐—ถ๐˜ƒ๐—ฒ ๐—ฑ๐—ฎ๐˜๐—ฎ โ€“ Gather diverse text from global sources online. โ€ข ๐—Ÿ๐—ฒ๐—ฎ๐—ฟ๐—ป ๐—ฎ๐—ฐ๐—ฟ๐—ผ๐˜€๐˜€ ๐—ฑ๐—ผ๐—บ๐—ฎ๐—ถ๐—ป๐˜€ โ€“ Build understanding across many topics and fields. โ€ข ๐—ง๐—ฟ๐—ฎ๐—ถ๐—ป ๐˜„๐—ถ๐˜๐—ต ๐—ฝ๐—ผ๐˜„๐—ฒ๐—ฟ โ€“ Use extensive GPUs for long training cycles. โ€ข ๐—”๐—ฑ๐—ฑ ๐—ฑ๐—ผ๐—บ๐—ฎ๐—ถ๐—ป ๐—ณ๐—ผ๐—ฐ๐˜‚๐˜€ โ€“ Fine-tune for specialized areas like law or health. โ€ข ๐—›๐—ผ๐˜€๐˜ ๐—ผ๐—ป ๐—ฐ๐—น๐—ผ๐˜‚๐—ฑ โ€“ Requires scalable and powerful remote servers. โ€ข ๐—˜๐—ป๐—ฎ๐—ฏ๐—น๐—ฒ ๐—ฝ๐—ฎ๐—ฟ๐—ฎ๐—น๐—น๐—ฒ๐—น ๐—ฝ๐—ฟ๐—ผ๐—ฐ๐—ฒ๐˜€๐˜€๐—ถ๐—ป๐—ด โ€“ Distribute work across multiple compute nodes. โ€ข ๐—š๐—ฒ๐—ป๐—ฒ๐—ฟ๐—ฎ๐˜๐—ฒ ๐—ฐ๐—ฟ๐—ฒ๐—ฎ๐˜๐—ถ๐˜ƒ๐—ฒ ๐—ผ๐˜‚๐˜๐—ฝ๐˜‚๐˜๐˜€ โ€“ Produce context-rich and flexible responses. โ€ข ๐—˜๐˜ƒ๐—ผ๐—น๐˜ƒ๐—ฒ ๐˜„๐—ถ๐˜๐—ต ๐—ณ๐—ฒ๐—ฒ๐—ฑ๐—ฏ๐—ฎ๐—ฐ๐—ธ โ€“ Improve accuracy and reasoning over time. _____________________________________________ ๐—ฃ๐—ฟ๐—ฎ๐—ฐ๐˜๐—ถ๐—ฐ๐—ฎ๐—น ๐—ง๐—ฟ๐—ฎ๐—ฑ๐—ฒ๐—ผ๐—ณ๐—ณ๐˜€ โ€ข ๐—–๐—ผ๐˜€๐˜: SLM low โ† โ†’ LLM high โ€ข ๐—ฆ๐—ฝ๐—ฒ๐—ฒ๐—ฑ: SLM very fast โ† โ†’ LLM slower (network + compute) โ€ข ๐—”๐—ฐ๐—ฐ๐˜‚๐—ฟ๐—ฎ๐—ฐ๐˜† ๐—ผ๐—ป ๐—ป๐—ฎ๐—ฟ๐—ฟ๐—ผ๐˜„ ๐˜๐—ฎ๐˜€๐—ธ: SLM high โ† โ†’ LLM good (but sometimes overkill) โ€ข ๐—š๐—ฒ๐—ป๐—ฒ๐—ฟ๐—ฎ๐—น ๐—ธ๐—ป๐—ผ๐˜„๐—น๐—ฒ๐—ฑ๐—ด๐—ฒ & ๐—ฐ๐—ฟ๐—ฒ๐—ฎ๐˜๐—ถ๐˜ƒ๐—ถ๐˜๐˜†: SLM limited โ† โ†’ LLM strong โ€ข ๐—ฃ๐—ฟ๐—ถ๐˜ƒ๐—ฎ๐—ฐ๐˜†: SLM better โ† โ†’ LLM riskier unless secured ๐—ช๐—ต๐—ถ๐—ฐ๐—ต ๐—ผ๐—ป๐—ฒ ๐—ถ๐˜€ ๐—ฏ๐—ฒ๐˜€๐˜ ๐—ณ๐—ผ๐—ฟ ๐˜†๐—ผ๐˜‚๐—ฟ ๐—ฏ๐˜‚๐˜€๐—ถ๐—ป๐—ฒ๐˜€๐˜€? ๐—ง๐—ฎ๐˜€๐—ธ: Simple/repetitive โ†’ ๐—ฆ๐—Ÿ๐—  | Complex/creative โ†’ ๐—Ÿ๐—Ÿ๐—  ๐—ฅ๐˜‚๐—ป: On-device/offline โ†’ ๐—ฆ๐—Ÿ๐—  | Cloud OK โ†’ ๐—Ÿ๐—Ÿ๐—  ๐—ฆ๐—ฝ๐—ฒ๐—ฒ๐—ฑ: Instant โ†’ ๐—ฆ๐—Ÿ๐—  | Slower OK โ†’ ๐—Ÿ๐—Ÿ๐—  ๐—•๐˜‚๐—ฑ๐—ด๐—ฒ๐˜: Low โ†’ ๐—ฆ๐—Ÿ๐—  | High โ†’ ๐—Ÿ๐—Ÿ๐—  ๐—ฃ๐—ฟ๐—ถ๐˜ƒ๐—ฎ๐—ฐ๐˜†: Must stay local โ†’ ๐—ฆ๐—Ÿ๐—  | Managed data OK โ†’ ๐—Ÿ๐—Ÿ๐—  โœ… Repost for others in your network who can benefit from this.

Reply
2
12

More like this

Recommendations from Medial

Rahul Agarwal

Founder | Agentic AI...ย โ€ขย 1m

2 ways AI systems today generate smarter answers. Iโ€™ve explained both in simple steps below. ๐—ฅ๐—”๐—š (๐—ฅ๐—ฒ๐˜๐—ฟ๐—ถ๐—ฒ๐˜ƒ๐—ฎ๐—น-๐—”๐˜‚๐—ด๐—บ๐—ฒ๐—ป๐˜๐—ฒ๐—ฑ ๐—š๐—ฒ๐—ป๐—ฒ๐—ฟ๐—ฎ๐˜๐—ถ๐—ผ๐—ป) (๐˜ด๐˜ต๐˜ฆ๐˜ฑ-๐˜ฃ๐˜บ-๐˜ด๐˜ต๐˜ฆ๐˜ฑ) RAG lets AI fetch and use real-time external information to ge

See More
Reply
1
7

Rahul Agarwal

Founder | Agentic AI...ย โ€ขย 25d

Your AI sucks because itโ€™s stuck at Level 1. You can easily take it to Level 3. I've explained below. ๐—ฆ๐˜๐—ฒ๐—ฝ 1 โ€“ ๐—•๐—ฎ๐˜€๐—ถ๐—ฐ ๐—Ÿ๐—Ÿ๐—  (๐——๐—ผ๐—ฐ๐˜‚๐—บ๐—ฒ๐—ป๐˜ ๐—ฃ๐—ฟ๐—ผ๐—ฐ๐—ฒ๐˜€๐˜€๐—ถ๐—ป๐—ด) โ€ข This is the simplest level of AI systems. โ€ข You give input text or a docu

See More
Reply
1
6
Image Description

Rahul Agarwal

Founder | Agentic AI...ย โ€ขย 23d

2 main frameworks powering todayโ€™s AI workflows. Iโ€™ve explained both in simple steps below. ๐—ก๐Ÿด๐—ก (๐—Ÿ๐—ถ๐—ป๐—ฒ๐—ฎ๐—ฟ ๐—”๐—ด๐—ฒ๐—ป๐˜ ๐—™๐—น๐—ผ๐˜„) (๐˜ด๐˜ต๐˜ฆ๐˜ฑ-๐˜ฃ๐˜บ-๐˜ด๐˜ต๐˜ฆ๐˜ฑ) N8N lets AI follow a ๐˜€๐˜๐—ฟ๐—ฎ๐—ถ๐—ด๐—ต๐˜, ๐˜ƒ๐—ถ๐˜€๐˜‚๐—ฎ๐—น ๐˜„๐—ผ๐—ฟ๐—ธ๐—ณ๐—น๐—ผ๐˜„, moving step-by-step

See More
1 Reply
6
Image Description
Image Description

Rahul Agarwal

Founder | Agentic AI...ย โ€ขย 3m

3 ways how most AI systems are built. Iโ€™ve explained each one step-by-step. 1) ๐—ง๐—ฟ๐—ฎ๐—ฑ๐—ถ๐˜๐—ถ๐—ผ๐—ป๐—ฎ๐—น ๐—”๐—œ (๐˜€๐˜๐—ฒ๐—ฝ-๐—ฏ๐˜†-๐˜€๐˜๐—ฒ๐—ฝ) 1. ๐—ฆ๐—ฒ๐˜ ๐˜๐—ฎ๐˜€๐—ธ โ€“ Decide what problem the model should solve. 2. ๐—–๐—ผ๐—น๐—น๐—ฒ๐—ฐ๐˜ ๐—ฑ๐—ฎ๐˜๐—ฎ โ€“ Gather lots of example

See More
1 Reply
8
18
1

Rahul Agarwal

Founder | Agentic AI...ย โ€ขย 29d

If you know TOON, youโ€™re ahead of 99% of people. JSON is dead. TOON is for modern AI systems. If youโ€™re still sending JSON to your LLMsโ€ฆ youโ€™re wasting money. ๐—ง๐—ข๐—ข๐—ก (๐—ง๐—ผ๐—ธ๐—ฒ๐—ป-๐—ข๐—ฟ๐—ถ๐—ฒ๐—ป๐˜๐—ฒ๐—ฑ ๐—ข๐—ฏ๐—ท๐—ฒ๐—ฐ๐˜ ๐—ก๐—ผ๐˜๐—ฎ๐˜๐—ถ๐—ผ๐—ป) is the new standard

See More
Reply
3
5
Image Description

Rahul Agarwal

Founder | Agentic AI...ย โ€ขย 1m

2 frameworks powering next generation of AI apps. Hereโ€™s how LangGraph and LangChain make it happen. ๐—Ÿ๐—”๐—ก๐—š๐—š๐—ฅ๐—”๐—ฃ๐—› (๐˜€๐˜๐—ฒ๐—ฝ-๐—ฏ๐˜†-๐˜€๐˜๐—ฒ๐—ฝ) LangGraph is a graph-driven framework for building dynamic, multi-agent AI workflows. 1. ๐——๐—ฒ๐—ณ๐—ถ๐—ป๐—ฒ

See More
1 Reply
15
21
Image Description

Rahul Agarwal

Founder | Agentic AI...ย โ€ขย 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 More
1 Reply
6

Rahul Agarwal

Founder | Agentic AI...ย โ€ขย 1m

Get RAG-ready data from any unstructured document. This is crazy for AI companies. I've explained below. ๐—ฆ๐˜๐—ฒ๐—ฝ 1 โ€“ ๐—จ๐—ป๐˜€๐˜๐—ฟ๐˜‚๐—ฐ๐˜๐˜‚๐—ฟ๐—ฒ๐—ฑ ๐——๐—ผ๐—ฐ๐˜‚๐—บ๐—ฒ๐—ป๐˜๐˜€ (๐—ง๐—ต๐—ฒ ๐—ฆ๐—ผ๐˜‚๐—ฟ๐—ฐ๐—ฒ) โ€ข Real-world PDFs and documents are messy. Tables, images, signa

See More
Reply
1
5
Image Description

Pathik Sarkar

ย โ€ขย 

itch.ioย โ€ขย 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 More
1 Reply
2

Bharti Maan

Hey I am on Medialย โ€ขย 9m

"๐— ๐—ผ๐˜€๐˜ ๐—ฝ๐—ฒ๐—ผ๐—ฝ๐—น๐—ฒ ๐—ฆ๐—ง๐—œ๐—Ÿ๐—Ÿ ๐—บ๐—ถ๐˜€๐˜‚๐—ป๐—ฑ๐—ฒ๐—ฟ๐˜€๐˜๐—ฎ๐—ป๐—ฑ ๐—”๐—œ โ€” ๐—›๐—ฒ๐—ฟ๐—ฒโ€™๐˜€ ๐˜„๐—ต๐—ฎ๐˜ ๐—ถ๐˜ ๐—ฟ๐—ฒ๐—ฎ๐—น๐—น๐˜† ๐—น๐—ผ๐—ผ๐—ธ๐˜€ ๐—น๐—ถ๐—ธ๐—ฒ! โฌ‡๏ธ Everyone talks about AI, but AI is not just "one thing" (and also not just ChatGPT)! Artificial Intelligence is often m

See More
Reply
1
3

Download the medial app to read full posts, comements and news.