Free interactive tools for AI practitioners: https://xitter.cf/t.co/PbwrJyks0C. I consolidated my X accounts and now just post from @AnnieCushing.
New York, NY
Joined August 2009
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I'm going to consolidate my X accounts and just post from my @AnnieCushing account moving forward.
Meetings are messy. Timelines shouldn't be. Use this prompt to convert a transcript to a schedule.
bit.ly/4pOn9Vh
#AI #prompt
Ever wonder about how to effectively use the Temperature and Top P hyperparameters to optimize an AI model's output? My new explainer video demystifies both (with a 🎩⤵️ to Top K) by simplifying some of the sophisticated mathematical concepts.
bit.ly/temp-top-p
#AI
If MCP and A2A were characters from a fantasy flick, MCP would be the enchanter imbuing everyday objects with the ability to connect to forgotten systems, and A2A would be the strategist coordinating the group so they don’t waste spells, duplicate attacks, or summon chaos. (1/2)
This post is a 📷 behind the curtain to see how each protocol solves a different architectural problem, how they turn a jumble of tools and agents into a coordinated production, and why you need both—or appropriate alternatives. (2/2)
bit.ly/mcp-a2a
#AI #AIAgent #MCP
2nd time using #Claude today. Earlier I had 3 fact checks for my fun facts. This time I asked it a question and it started writing a ridiculous amount of code I didn't need. When I stopped it, I got a useless rate exceeded page and am now blocked. (1/2)
Tip for my fellow Python developers: Use docstrings to make your code more explainable and don't let AI tools—which all share a tendency toward lazy coding—remove them.
bit.ly/docstring-strat
#Python #Coding #Developer
Here's something that surprised me: I was building a predictive model with 21 different features, and the most powerful one wasn't in my original dataset at all.
I created it by converting customer call dates into seasons. (1/3)
That simple transformation of taking raw timestamps and grouping them into seasons became the strongest predictor in the entire model.
Whether you're running predictive analytics or not, sometimes the best insights come from asking... (2/3)
"What story is this data really trying to tell?"
I've put together real examples you can filch for your own projects. (3/3)
bit.ly/3Ki0GAG
#Data #MachineLearning #DataModeling #DataModels #DataVisualization #AI
This prompt turns boring spreadsheets into executive-ready stories: "Turn this data/spreadsheet into a narrative story that a non-technical executive would understand, with the key insight as the headline."
Learn more: bit.ly/data-storytime
#ai #aiprompting #data #datascience
Ever tried coordinating multiple AI models? Without a framework, you're managing API calls, conversation state, message routing... it's a mess. Here's how AutoGen changed everything for me. (1/3)
Built a utility analysis system: Technical Analyst (GPT-4) → Compliance Reviewer (Mistral) → Strategic Planner (Claude). Each agent isolated, no context bleeding. The UserProxy pattern handles all coordination automatically. (2/3)
Result: Complex multi-agent workflows that actually work. No spaghetti code. No state management headaches. Just configure your agents and let #AutoGen handle the orchestration. (3/3)
bit.ly/autogen-post
#AI #AIAgent #DataScience
My AI Timeline hit 1,500 entries yesterday. Almost half (748) of those are announcements from sundry model creators and AI tools (select 'announcement' from the tag filter to follow announcements).
bit.ly/ai-timeline-app
#AI #Data #DataScience
I built a dashboard that demonstrates making AI metrics accessible to non-technical stakeholders. No more "ROC AUC = 0.85" 🤷♀️
Tooltips, plain English. Because if they can't understand it, they won't trust it.
Demo app: bit.ly/4mQDjwF
Post: bit.ly/4mFYq4I
#AI
Here's a #Python tip for visualizing your codebase for a project.
Code in the post.
bit.ly/3UW7o19
