Joined March 2018
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- Following 318
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348 Photos and videos
Jun 11
We just published a new guide: Anthropic Cybersecurity Skills — Full Tutorial
#aisecurity #cybersecurity #claude #cursor #copilot
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Jun 11
✅ DFIR, threat hunting, and cloud incident response walkthroughs
✅ Skill anatomy, verification workflows, and compliance use cases
If you're building AI-powered security workflows, SOC automation, DFIR assistants, or agentic cybersecurity tools, this guide is worth exploring
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Jun 10
Most people think machine learning looks like this:
Pick an algorithm → call .fit() → ship
#machinelearning #ML #mlmodels #algorithm
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Jun 10
In this visual walkthrough, we break down the 6 stages every production ML project goes through:
✅ Define the problem
✅ Prepare the data
✅ Choose the model
✅ Train & iterate
✅ Evaluate honestly
✅ Deploy & monitor
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Jun 10
The algorithm is often only 15–25% of the work.
If you're learning ML, don't just focus on training models. Learn how to get them into production and keep them working after launch.
Check out the full tutorial here: medium.com/@techlatest.net/b…
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Hermes vs OpenClaw
Both can power AI agents across Telegram, WhatsApp, Discord, and more—but they take very different approaches.
#hermes #openclaw #aiagents #opensource
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OpenClaw focuses on a polished gateway experience, skills, dashboards, and messaging automation.
Hermes focuses on evolving skills, procedural memory, multi-agent workflows, and self-improvement through its Curator system.
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In this hands-on comparison, we cover:
✅ Architecture differences
✅ Skills & memory systems
✅ Gateway and channel support
✅ Local LLM integration
✅ OpenClaw → Hermes migration
✅ When to choose each platform
Check out the full guide here: medium.com/@techlatest.net/h…
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Most AI agents forget what they learned last week.
Hermes Agent is different — it builds a learning loop into the stack.
This image is the ecosystem map we use when setting it up:
#hermesagent #aiagent #opensource
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① Install Hermes CLI / Gateway
② Stack Skills & Plugins (procedural memory)
③ Add Tools & Utilities (GUIs, SkillClaw, ops)
④ Wire Integrations (MCP, memory bridges)
⑤ Enable Multi-Agent orchestration
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⑥ Let the Curator grade & prune skills every 7 days
⑦ Connect your LLM provider → the agent gets smarter each session
One install. Layer the ecosystem. Don’t dump 100 repos on day one.
Full tutorial ecosystem here: medium.com/@techlatest.net/g…
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Most teams repeat the same instructions to Claude Code every session.
There’s a better pattern: commit a `.claude/` folder to your repo.
#claudecode #claudelemieux #claudecowork #claudeai #claude
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One model session. Shared team config. Personal overrides stay local.
The GIF shows the flow:
→ CLAUDE.md rules load
→ settings.json gates tools
→ skills handle repeatable work
→ agents handle deep review in isolation
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If you’re setting up Claude Code for a real codebase, start here — not with a giant one-off prompt.
Full Tutorial Link: medium.com/@techlatest.net/c…
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We just published a new hands-on guide: Your AI on WhatsApp — Fully Local, Powered by Gemma4
#RAG #Gemma4 #Openclaw #aiassistant #opensource
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The guide walks through setting up OpenClaw, Gemma 4 E2B, Agentic RAG, and connecting everything into a local-first AI assistant stack—without relying on cloud LLMs.
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Perfect for developers exploring AI agents, local LLMs, RAG, and automation workflows.
Guide Link: medium.com/@techlatest.net/y…
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