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- 📊 AI leads Python as top language
📊 AI leads Python as top language
🦾Plus: 🛠️ GitHub and Microsoft open Copilot to rival AI models
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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?
📈Vector Databases Are the Wrong Abstraction
⚙️AI/ML Innovation in the Kubernetes Ecosystem
🛠️ GitHub and Microsoft open Copilot to rival AI models
💼 LinkedIn launches Hiring Assistant to help recruiters
✨ GitHub introduces Spark: Build mini-apps without writing code
💡 AI Tutorial:Create AI-powered study sessions
🤖 AI Tools and Data Tools to checkout
As products and services become more complex, markets become more interconnected and customers become more sophisticated in their choices, a software-oriented organizational strategy must be managed and operated. This blog will explore the Intelligent Operations Solutions and their influence on business and organizational transformation.
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Microsoft's GitHub just announced that it is expanding its AI coding assistant to include models from Anthropic and Google, alongside a series of new updates and features to the platform — breaking from the company’s traditional OpenAI exclusivity.
AI hasn’t replaced developers; it’s actually boosting their work. More developers are joining GitHub globally, building AI models into applications and contributing to open-source projects, many for the first time.
Key takeaways:
Python has overtaken JavaScript on GitHub, driven by AI and data science.",
Global developer growth on GitHub has surged, with India projected to surpass the U.S. by 2028.
Generative AI projects grew by 98% year-over-year, reflecting strong interest worldwide.
GitHub Copilot usage doubled among students and educators, fostering new skills in coding.
Increased contributions are seen from regions like Africa, Latin America, and Asia.
Vector databases were developed as specialized systems to handle large volumes of vector embeddings for text, image, and multi-modal data. And, as the utility of vector embeddings became clearer, many general-purpose databases, like PostgreSQL (with pgvector), MySQL, MongoDB, and even Oracle, added vector search support to their general-purpose offerings either officially or via extensions.
As organizations put artificial intelligence and machine learning (AI/ML) workloads into continuous development and production deployment, they need to have the same levels of manageability, speed, and accountability as regular software code. The popular way to deploy these workloads is Kubernetes, and the Kubeflow and KServe projects enable them there.
👨💻 Data Tools, Libraries
Trench (GitHub Repo)
Trench is an event tracking system that can handle large event volumes and provide real-time analytics. It is no-cookie, GDPR, and PECR compliant.
Zerox OCR (GitHub Repo)
Zerox is an OCR tool that converts documents for AI ingestion.
AI News:
OpenAI is planning to make its own AI chips, working with Broadcom to design them and using TSMC to make the chips by 2026. The company decided not to build its own factories because it would be too expensive and take too long. Instead, OpenAI will work with other companies for its hardware needs. Right now, OpenAI is also adding AMD’s MI300X chips along with Nvidia’s to make sure they have enough supply to meet demand
LinkedIn has launched Hiring Assistant, an AI tool to help recruiters with tasks like writing job descriptions, finding good candidates, scheduling interviews, and answering candidate questions. Right now, it is being tested by some big companies like AMD and Siemens.
GitHub has launched Spark, a new platform that helps users build AI-powered mini-apps using plain language. Announced at GitHub's Universe '24 conference, Spark allows users to create small apps, called "Sparks," which utilize AI and data from other sources—all without needing to understand cloud infrastructure.
Google launched Prompting Essentials -- a course developed by the AI experts at Google and DeepMind -- that teaches users techniques to prompt AI tools effectively. According to Google, this course builds on AI Essentials, launched in April, which has become the most popular generative AI course on Coursera ever.
AI Tutorial
🎧 Create AI-powered study sessions
NotebookLM's new customizable Audio Overview feature lets you transform your study materials into specific discussions between AI hosts, making exam preparation more efficient and enjoyable.
Step-by-step:
Create a new notebook in NotebookLM and upload your study materials (PDFs, notes, slides).
Find the Audio Overview feature and click the customize icon.
Enter a detailed prompt, e.g., "Create a [topic] exam review focusing on [subjects]. Explain as if teaching a new student, include memory tricks and potential exam questions."
Generate and listen to your personalized study session, taking notes as you go.
🔥Top AI tools to increase productivity:
AI/ML API - Access 100+ AI Models with a Single API: Your 24/7 AI Solution
Pathway - leveraging advanced AI to simplify clinical decision-making for healthcare professionals.
TopView.ai is online AI video editor powered by the knowledge of millions of good performance ads videos
AGILayer - Automated AI Agents for ChatGPT
SkimAI is the ultimate AI copilot for mastering your email inbox
CharGen is a revolutionary platform dedicated to bringing your tabletop RPG and D&D Characters to life
Efibot helps you write emails quickly, create amazing photos, and do so much more
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
👀 Thanos in Indian market!
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