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Shubham Saboo Profile
Shubham Saboo

@Saboo_Shubham_

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Following
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Daily tips and tutorials on LLMs, RAG and AI Agents | Author of books on GPT-3 & Neural Search in Production | DM open for collaboration

AI Agents & RAG Tutorials →
Joined June 2020
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@Saboo_Shubham_
Shubham Saboo
15 days
This is crazy! . Just made it to top trending developers list on @github. Building in public and Opensource AI is the way to go. While others charge $10,000+ for AI courses. I opensourced 100+ AI Agents, MCP Agents, and RAG tutorials for free.
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@Saboo_Shubham_
Shubham Saboo
5 hours
RT @Saboo_Shubham_: Grok 4 builds a multi-agent VC team that provides feedback on the startup pitch deck just by looking at Awesome LLM App….
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@Saboo_Shubham_
Shubham Saboo
9 hours
100+ free step-by-step tutorials with code covering:. 🚀 AI Agents.📀 RAG Systems.🗣️ Voice AI Agents.🌐 MCP AI Agents.🤝 Multi-agent Teams.🎮 Autonomous Game Playing Agents. P.S: Don't forget to subscribe for FREE to access future tutorials.
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@Saboo_Shubham_
Shubham Saboo
9 hours
Stay tuned for more such posts, follow me → @Saboo_Shubham_. I have created 100+ AI Agents and RAG tutorials, 100% free and opensource. P.S: Don't forget to star the repo to show your support 🌟.
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@Saboo_Shubham_
Shubham Saboo
9 hours
To build this, follow the simple steps:. 1. Go to the Awesome LLM Apps GitHub Repo: 2. Replace 'github' in the url by 'uithub'. 3. Prompt @grok 4 to create the AI Agent you like. 4. Go to @replit to run the app and deploy it in minutes.
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@Saboo_Shubham_
Shubham Saboo
9 hours
Grok 4 builds a multi-agent VC team that provides feedback on the startup pitch deck just by looking at Awesome LLM Apps GitHub Repo. Replit lets me run, test, and deploy that agent team directly from the browser. All of this in less than 2 mins. Let that sink in!
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@Saboo_Shubham_
Shubham Saboo
20 hours
@Kimi_Moonshot 100+ free step-by-step tutorials with code covering:. 🚀 AI Agents.📀 RAG Systems.🗣️ Voice AI Agents.🌐 MCP AI Agents.🤝 Multi-agent Teams.🎮 Autonomous Game Playing Agents. P.S: Don't forget to subscribe for FREE to access future tutorials.
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@Saboo_Shubham_
Shubham Saboo
20 hours
@Kimi_Moonshot Stay tuned for more details, follow me → @Saboo_Shubham_. I have created 100+ AI Agents and RAG tutorials, 100% free and opensource. P.S: Don't forget to star the repo to show your support 🌟.
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@Saboo_Shubham_
Shubham Saboo
20 hours
@Kimi_Moonshot Also available as an API:. - $0.15 / million input tokens (cache hit) .- $0.60 / million input tokens (cache miss) .- $2.50 / million output tokens. Almost ~5x cheaper than Claude 4 Sonnet and Gemini 2.5 Pro. GitHub Repo:
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@Saboo_Shubham_
Shubham Saboo
20 hours
@Kimi_Moonshot Kimi K2 runs directly in your terminal. It understands your environment, decides what actions to take, and executes them seamlessly. It just built a 3D Minecraft web version from a single prompt.
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@Saboo_Shubham_
Shubham Saboo
20 hours
@Kimi_Moonshot Another coding example: 3D Particle Galaxy Simulation built with Kimi k2.
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@Saboo_Shubham_
Shubham Saboo
20 hours
@Kimi_Moonshot Great for Agentic workflows. Kimi K2 performed 16 tool calls to generate statistics, visualizations, and an interactive webpage. Complete analysis from raw data to insights in seconds.
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@Saboo_Shubham_
Shubham Saboo
20 hours
@Kimi_Moonshot Kimi K2 beats Claude Sonnet 4 and GPT-4.1 across coding benchmarks. 65.8% on SWE-bench Verified vs Claude's 50.2% and GPT's 40.8%. SOTA performance in math, coding, and AI Agent tasks among non-thinking models.
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@Saboo_Shubham_
Shubham Saboo
20 hours
@Kimi_Moonshot Kimi k2 comes in two variants: . → K2-Base for researchers who want full control for fine-tuning and custom solutions. → K2-Instruct for drop-in general-purpose chat and AI Agent experiences.
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@Saboo_Shubham_
Shubham Saboo
20 hours
Kimi k2 by @Kimi_Moonshot is a SOTA AI coding model that gives amazing 1 shot results at coding prompts.
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@Saboo_Shubham_
Shubham Saboo
20 hours
It's here now 🚀.
@Saboo_Shubham_
Shubham Saboo
20 hours
After DeepSeek R1, there's new Claude 4 level model from China that outperforms DeepSeek v3, Qwen and OpenAI GPT-4.1. Meet Kimi k2 - 1 trillion parameter model purpose-built for agentic workflows with native MCP integration. 100% Opensource and FREE to try. Let that sink in.
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@Saboo_Shubham_
Shubham Saboo
20 hours
After DeepSeek R1, there's new Claude 4 level model from China that outperforms DeepSeek v3, Qwen and OpenAI GPT-4.1. Meet Kimi k2 - 1 trillion parameter model purpose-built for agentic workflows with native MCP integration. 100% Opensource and FREE to try. Let that sink in.
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@Saboo_Shubham_
Shubham Saboo
1 day
This is a bad take. Claude Code is miles ahead for actual development work. Superior context awareness, better code understanding, and seamless workflow integration. Grok CLI might be flashy but Claude Code gets the job done.
@KaranVaidya6
Karan Vaidya
2 days
Grok CLI >>> Cursor and Claude Code. We wanted an IDE for @xai's @grok so we did something meta: we prompted the newly released Grok 4 to create. Grok CLI itself!. Grok CLI can:.1. Modify local files and use the shell.2. Go through huge codebases and fix them.3. Persist for
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@Saboo_Shubham_
Shubham Saboo
1 day
Grok 4 Fire Enrich - AI-Powered Data Enrichment Tool GitHub.
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@Saboo_Shubham_
Shubham Saboo
1 day
100+ free step-by-step tutorials with code covering:. 🚀 AI Agents.📀 RAG Systems.🗣️ Voice AI Agents.🌐 MCP AI Agents.🤝 Multi-agent Teams.🎮 Autonomous Game Playing Agents. P.S: Don't forget to subscribe for FREE to access future tutorials.
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@Saboo_Shubham_
Shubham Saboo
1 day
Stay tuned for more such interesting posts → @Saboo_Shubham_. I have created 100+ AI Agents and RAG tutorials, 100% free and opensource. P.S: Don't forget to star the repo to show your support 🌟.
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