Brad Trnavsky
27.6K posts

Brad Trnavsky
@bmtrnavsky
I run distribution centers for a living. Also write about supply chain, warehouse automation, and the business case behind the technology. MBA | MISM | Veteran
Longview, TX Katılım Nisan 2008
3K Takip Edilen5.2K Takipçiler
Brad Trnavsky retweetledi

🚨 Anthropic's own Team just released a free 24-minute prompting workshop.
Taught by the team that built Claude.
40 techniques. No fluff. No paywall.
You've been using Claude at 20% this whole time.
This fixes that.
Khairallah AL-Awady@eng_khairallah1
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Brad Trnavsky retweetledi

People pay $10,000+ for these courses. I’m giving them away free.
One link. Lifetime access to:
→ Data Science
→ Python
→ Artificial Intelligence
→ Big Data
→ Data Analytics
→ Google Cloud Platform
→ IT Training
→ MBA
→ Cybersecurity
→ And much more
Tutorials. Books. Courses. Full trainings.
FREE for 48 hrs only.
Like + RT + comment ‘Link’ and I’ll DM it.
Follow me so the DM goes through.

English
Brad Trnavsky retweetledi

12 GitHub repos to improve at AI engineering (categorized):
𝗟𝗟𝗠𝘀, 𝗥𝗔𝗚 & 𝗔𝗴𝗲𝗻𝘁𝗶𝗰 𝗦𝘆𝘀𝘁𝗲𝗺𝘀
1) Guides to build RAG, agents, vector search
↳ lucode.co/ai-developer-h…
2) RAG patterns
↳ github.com/NirDiamant/RAG…
3) E2E guide for building agents
↳ github.com/NirDiamant/age…
𝗔𝗜 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 𝗙𝗼𝘂𝗻𝗱𝗮𝘁𝗶𝗼𝗻𝘀
4) Prompt engineering
↳ github.com/dair-ai/Prompt…
5) Hands-on ML + deep learning
↳ github.com/ageron/handson…
6) Neural networks
↳ github.com/karpathy/nn-ze…
𝗖𝘂𝗿𝗮𝘁𝗲𝗱 𝗥𝗲𝘀𝗼𝘂𝗿𝗰𝗲 𝗟𝗶𝘀𝘁𝘀
7) Examples building with openAI
↳ github.com/openai/openai-…
8) Ready to run templates
↳ github.com/Shubhamsaboo/a…
9) ML frameworks, libs, & software
↳ github.com/josephmisiti/a…
10) Data Science resources
↳ github.com/academic/aweso…
𝗛𝗮𝗻𝗱𝘀-𝗢𝗻 𝗣𝗿𝗼𝗷𝗲𝗰𝘁𝘀
11) 100+ projects
↳ github.com/patchy631/ai-e…
12) E2E project with Claude Code
↳ github.com/shareAI-lab/le…
If you're serious about AI engineering, this repo is worth bookmarking (star it): lucode.co/ai-developer-h…
It’s not just theory; you’ll find:
• Full AI apps and reference implementations
• Jupyter notebooks for RAG, agents, and vector search
• Practical guides on agent architecture and memory systems
If you found this list useful, star the repo so you can come back to it later (and support more content like this)
What other AI GitHub repos should be on the list?
——
♻️ Repost to help others learn AI engineering.
🙏 Thanks to @Oracle for sponsoring this post.
➕ Follow me ( Nikki Siapno ) to improve at AI engineering.

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Exactly why I added 4 local models to my Hermes stack. #localai #ollama #ai towardsdatascience.com/i-replaced-gpt…
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Claude + Amazon + internet connection + 60 minutes a day = $10,000 per month.
How? AI Publishing.
Usually, I'd charge $199 for this guide, but today I'm giving it away 100% FREE.
Like + comment 'AI' and I'll send you my in-depth guide for FREE.
Must follow me to get DM.
FREE for first 500 people

English

@KnotFadeAway2 @selinatasnim1 I believe so. Definitely had the key stuff. Introduction job history education etc but I can’t remember if skills and stuff was in there.
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@bmtrnavsky @selinatasnim1 When you did that did it include your entire LinkedIn profile - all sections?
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@KnotFadeAway2 @selinatasnim1 When I did this to mine I downloaded my profile as a pdf. There is a button in the upper right corner.
English

@selinatasnim1 @selinatasnim1 how to you add your LinkedIn profile into the prompt section? Copy and paste the link? Or do you need to copy and paste the text of each section?
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Brad Trnavsky retweetledi

Is the Tail Wagging the Dog? modernanalyst.com/Resources/Arti… #systemsanalisys #businessanalist #programming
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Choosing the right transport mode isn't just about cost it’s about operational agility. 🚛🚢
From air freight speed to sea freight volume, each mode has a specific role in your strategy.
Read the full operational guide: bit.ly/4avZ9S6
#SupplyChain #Logistics #Freight
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Skip the "all-or-nothing" hype. Modular, hybrid systems allow you to scale throughput without the "big bang" shutdown risks.
Smart insights on intralogistics here: bit.ly/3vL9X9J
#Automation #Logistics #WMS #S2BI
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Warehouse AI is only as good as your floor data. 📊
"Physical AI" must solve for OTIF and labor productivity, or it is just expensive hype.
Insightful piece via @SCMR: bit.ly/49XWq8W
#WMS #Operations #DataQuality #S2BI
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Brad Trnavsky retweetledi







