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- 🐳 Guide to Docker for Machine Learning Engineers
🐳 Guide to Docker for Machine Learning Engineers
🦾Plus: 🧨 Sam Altman Flags Rough Vibes at OpenAI
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Hey folks! Let’s get into Big Data and AI craziness…
In today's edition: What's Shaping the Future of Data?
📌10 ChatGPT Projects case studies Cheat Sheet
🧱A Full-Stack Developer Is A Myth
🤖 Google Research: DS-STAR – A Versatile Data Science Agent
🌍 Meta’s WorldGen Turns Text into Walkable Worlds
🔋 Meta moves into electricity trading
📈 Google targets huge AI compute jump
💡 AI Tutorial:From First Prompt to Finished App with Commands
🤖 AI Tools and Data Tools to checkout
In this article, you will learn how to use Docker to package, run, and ship a complete machine learning prediction service, covering the workflow from training a model to serving it as an API and distributing it as a container image. Topics we will cover include: Core Docker concepts (images, containers, layers, caching) for machine learning work. Training a simple classifier and serving predictions with FastAPI.
84% Deploy Gen AI Use Cases in Under Six Months – Real-Time Web Access Makes the Difference
Your product is only as good as the data it’s built on. Outdated, blocked, or missing web sources force your team to fix infrastructure instead of delivering new features.
Bright Data connects your AI agents to public web data in real time with reliable APIs. That means you spend less time on maintenance and more time building. No more chasing after unexpected failures or mismatches your agents get the data they need, when they need it.
Teams using Bright Data consistently deliver stable and predictable products, accelerate feature development, and unlock new opportunities with continuous, unblocked web access.
Here are the 10 curated ChatGpt hands-on projects to boost data science workflows with ChatGPT across ML, NLP, and full stack dev, including links to full project details.
We've all seen the job postings. "Looking for a Full-Stack Developer proficient in React, Vue, Angular, Node.js, Python, Django, Ruby on Rails, PostgreSQL, MongoDB, Redis, Docker, Kubernetes, AWS, Azure, GCP, CI/CD, microservices architecture, and oh—can you also design in Figma? Must have 10 years of experience with technologies invented 3 years ago."
DS-STAR is a state-of-the-art data science agent whose versatility is shown by its ability to automate a range of tasks — from statistical analysis to visualization and data wrangling — across various data types, culminating in a top-ranking performance on the famous DABStep benchmark…
Meta is testing a personalized AI-powered briefing system within Facebook, designed to deliver concise, context-aware daily summaries. The system pulls from social feeds, browsing history, and network activity, offering an interactive experience akin to ChatGPT. While technical specifics remain scarce, the initiative reflects a move from passive content feeds to proactive, user-tailored AI interactions.
Q4 is the perfect window to turn this year’s numbers into a clear, actionable forecast aligned with your goals. Set your business up for a stronger 2026 with BELAY’s new guide.
👨💻 Data Tools, Libraries
Coresignal’s Free Webinar: How to Evaluate External Data Quality with Confidence. Join Coresignal’s free, vendor-neutral webinar on December 2, where Data Analyst Egidijus Griska will share practical tools and metrics you need to be confident when assessing B2B data.
kit (GitHub Repo)
kit is a toolkit for codebase mapping, symbol extraction, code search, and building LLM-powered developer tools, agents, and workflows. It can build things like code reviewers, code generators, and IDEs.
Styleframe (Website)
Styleframe's powerful TypeScript CSS API helps developers compose design systems in minutes.
Stripe AI (GitHub Repo)
This repository contains a collection of software development kits for integrating Stripe with large language models and agent frameworks.
AI News:
A leaked memo shows Sam Altman acknowledging rough vibes inside OpenAI, with concerns about slowing revenue, technical setbacks, and Google’s strong pre-training results. The note signals a shift from confidence to urgency as staff face the prospect of stalled enterprise demand, hiring freezes, and a renewed push on long-term bets like superintelligence.
The New Enterprise Approach to Voice AI Deployment
A practical, repeatable lifecycle for designing, testing, and scaling Voice AI. Learn how BELL helps teams deploy faster, improve call outcomes, and maintain reliability across complex operations.
Meta is preparing to trade electricity so it can lock in long-term energy deals for its expanding AI infrastructure. The company says new data centers need far more generation capacity than utilities can build without firm commitments. Trading lets Meta support new plants, manage swings in its own usage and sell surplus back into the market.
Google plans to expand its AI capacity fast, doubling serving capability every six months. Internal teams are pushing for more efficient models, new chips, and tighter integration to meet demand. Leadership points to constraints already limiting growth, with Veo as an example. At the same time, employees question long-term financial pressure as capex surges past operating income.
iOS 27 will be focused on improving software quality and underlying performance. Many users have reported bugs in iOS 26, including device overheating, unexplained battery drain, user interface glitches, keyboard failures, cellular connectivity issues, app crashes, and sluggishness during system navigation and animations.
Anthropic published new research on AI misalignment, finding that Claude spontaneously starts to lie and sabotage safety tests after learning how to cheat on coding assignments — without ever being trained to be deceptive. Researchers trained models on real programming tasks and provided documents describing ‘reward hacks’ to cheat on the assignments.
AI Tutorial
From First Prompt to Finished App with Commands
How to go from first prompt to a finished app with Rocket Commands:
Sign up on rocket.new.
Enter your idea → click ‘Build My App.’
Sample prompt: "Build an AI-native mobile app that helps teams track customer feedback in real time, with a home screen, feedback list, and feedback detail view."Open app preview, pick a screen, and open chat.
Type / to access 100+ structured commands:
/Update Content: edit text
/Add Element: add blocks/CTAs
/Add Stripe Payments: wire up checkout on your pricing
/Generate Image: create visuals
/Restructure Layout: redesign the screen
Type @filename (e.g., @pages/faq.tsx) to edit a specific file only.
Launch as a PWA, copy the link, then download the Android APK from Rocket to test it on your phone.
Make Every Platform Work for Your Ads
Marketers waste millions on bad creatives.
You don’t have to.
Neurons AI predicts effectiveness in seconds.
Not days. Not weeks.
Test for recall, attention, impact, and more; before a dollar gets spent.
Brands like Google, Facebook, and Coca-Cola already trust it. Neurons clients saw results like +73% CTR, 2x CVR, and +20% brand awareness.
🔥Top AI tools to increase productivity:
Marblism generates a fully-functional web application from a single prompt:
Clipwing A tool for cutting long videos into dozens of short clips
aiPDF is an innovative, multi-modal tool designed to work with a wide array of inputs, including ebooks, web articles, YouTube videos, podcasts.
podcast.ai, a podcast that is entirely generated by artificial intelligence
Clipwing A tool for cutting long videos into dozens of short clips
aiPDF is an innovative, multi-modal tool designed to work with a wide array of inputs, including ebooks, web articles, YouTube videos, podcasts.
Verk- Hire AI employees to add more firepower to your team, who work 24/7 to do sales, be your personal assistant, do graphic designing and more
Codetoflow enables you to understand the code in simple terms using a flowchart which enables you to understand the details
View our database of all the best AI tools for your needs: aitoolsup.com
Have cool resources to share? Submit AI tool
A.I. Generated Image of the Day
👀 Desert Explorer
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