Mining insights in data science, machine learning, analytics, and AI • Edited by @mattmayo13 • KD stands for "knowledge discovery"
San Juan, PR
Joined February 2009
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Learn which five Docker containers make a reliable home AI lab, from Ollama and Open WebUI to Qdrant, n8n and Portainer CE, what job each one does, and the first mistake to avoid with each. f.mtr.cool/hr46wkgbhk
Learn how to get started with the OpenRouter API to call multiple AI models through one API, compare responses, switch models, and set up automatic fallbacks. f.mtr.cool/66qn18gyxr
[Oct 29 Webinar] The Agentic Operating Model with LangChain
bit.ly/4e04D9d
📊 Your AI agents are only as reliable as the data behind them.
As organizations adopt agentic AI, modern data infrastructure becomes increasingly important.
How can businesses connect their data, build trusted workflows, and prepare for AI at scale?
Explore these challenges at Google Cloud's Trusted Agents, Real Outcomes online event.
📅 November 5 | 10 AM CET (EMEA)
🔗 Register here:
cloudonair.withgoogle.com/ev…
#DataEngineering #AgenticAI #GoogleCloud
A local language model is one whose actual weights, the enormous file of learned numbers that constitutes the trained model, you download and run entirely on your own hardware. f.mtr.cool/0xu3a160kp
Can a free, open-source AI humanizer beat paid tools? We tested a 12B model locally and compared the results against AI detectors to see if the hype is real. f.mtr.cool/4uaw947pt8
Gemini Omni is a member of Google's Gemini generative model family, built specifically to create output from any combination of input types, starting with video. f.mtr.cool/8t0xjkjzi5
Build your first AI agent in Python with the OpenAI Agents SDK, adding web search, Python tools, conversation memory, and tracing in a simple end-to-end workflow. f.mtr.cool/22seoih7k8
88% of AI pilots never reach production (CIO.com). See what the other 12% do differently in this report from @Matillion, which analyzes 10 successful AI pilots in the data org.
bit.ly/4shY8Ew
🤖 AI agents are getting smarter. But can enterprises trust them with real workflows?
Building reliable AI agents requires more than powerful models. It also takes trusted data, governance, and the right infrastructure.
Join Google Cloud's upcoming online event to explore how Agentic Data Cloud supports the next generation of enterprise AI.
📅 November 5 | 10 AM CET (EMEA)
🔗 Save your spot:
cloudonair.withgoogle.com/ev…
#AIAgents #GoogleCloud #EnterpriseAI
A four-stage technical roadmap for becoming a computer vision engineer, from spatial mathematics and ViTs through 3D neural rendering and edge deployment optimization. f.mtr.cool/o1b58ztgkg
Learn seven design patterns for data science code, from Strategy and Adapter to Command and Proxy, each matched to the pressure it solves, with the Python shape it takes and the caveat that keeps it honest. f.mtr.cool/snpbvagap1
What employers actually mean when job postings list "AI experience" as a requirement. f.mtr.cool/xheztm5lu3
Access powerful open-source and proprietary models through OpenCode Zen, Gemini’s free quota, Kilo Gateway, Cline Provider, and Charm Hyper without paying for API access upfront. f.mtr.cool/zmsa9ktfp7
🤖 AI agents are getting smarter. But can enterprises trust them with real workflows?
Building reliable AI agents requires more than powerful models. It also takes trusted data, governance, and the right infrastructure.
Join Google Cloud's upcoming online event to explore how Agentic Data Cloud supports the next generation of enterprise AI.
📅 November 5 | 10 AM CET (EMEA)
🔗 Save your spot:
cloudonair.withgoogle.com/ev…
#AIAgents #GoogleCloud #EnterpriseAI
I loaded a large JSON file in Python and watched memory jump from 43 MB to 808 MB. Here’s what happened and how streaming changed everything. f.mtr.cool/9v64jih2wb
Google's Harness² lets AI agents improve their prompts, tools, memory, and scripts through two recursive loops without touching model weights. Learn more, including how to run the free demo yourself. f.mtr.cool/wb8u56k339
Build standardized custom NER pipelines in a few simple steps, powered by the reasoning capabilities of LLMs. f.mtr.cool/rcueu57tq6
Explore five popular AI agent skill collections that help coding agents plan, test, debug, review, and build better software. f.mtr.cool/k6yb851wz5
