Phi-3 mini model released under MIT

Phi-3 mini model released under MIT! 🚀 Last Week Llama 3, this week Phi-3 🤯 Microsoft Phi-3 comes in 3 different sizes: mini (3.8B), small (7B) & medium (14B). Phi-3-mini was released , claiming to match Llama 3 8B performance! 🚀

1. What is Phi-3 Mini?

   • Phi-3 Mini is a lightweight language model with 3.8 billion parameters.
   • It belongs to the Phi-3 family and comes in two variants: 4K and 128K context lengths.

2. Training and Fine-Tuning:

   • Trained on a massive 3.3 trillion tokens.
   • Fine-tuned using supervised fine-tuning (SFT) and direct preference optimization (DPO).

3. Performance Metrics:

   • Achieves impressive performance:
     • 68.8% on MMLU (common sense, language understanding, mathematics, coding, etc.)
     • 8.38 on MT Bench (long-term context and logical reasoning).
   • Outperforms models like Mistral 7B and Llama 3 8B Instruct.

4. Availability and Platforms:

   • Available on Hugging Face and in Hugging Chat.
   • Runs on Android and iPhones.

5. Use Cases:

   • Ideal for memory/compute-constrained environments.
   • Strong reasoning capabilities (especially for code, math, and logic).

6. Limitations:

• No base model released.
• English-only intent use (no multilingual support).
• Lack of details on dataset mix and data/benchmark contamination

Demo: https://huggingface.co/chat/models/microsoft/Phi-3-mini-4k-instruct

Models: https://huggingface.co/models?other=phi3&sort=trending&search=microsoft

Reports: https://huggingface.co/papers/2404.14219

Domain specific AI Tools | AI hub

AI ChatBot (e.g., Llama 3, Claude): AI ChatBots like Llama 3 and Claude are revolutionizing customer service. They start by understanding user needs, then simulate conversations, and are deployed on various platforms. Continuous improvement is key, as they learn from interactions to provide better service.

Image Editing (e.g., Freepik): Freepik simplifies graphic design with a vast library of images and templates. Users search and customize graphics to suit their needs, enhancing their projects with high-quality visual content, all without needing advanced design skills.

Data Visualization (e.g., Wand, Tableau): Tools like Wand and Tableau transform raw data into compelling visual stories. They begin by importing data, which is then analyzed and organized into charts and graphs, making complex information accessible and understandable.

Sales Analytics (e.g., Gong, Avoma): Gong and Avoma are AI-driven platforms that enhance sales strategies. They record sales interactions, analyze them for insights, and provide actionable feedback to optimize customer engagement and improve sales outcomes.

Marketing Automation (e.g., Jasper): Jasper automates marketing tasks, from content creation to data analysis. It processes user inputs to generate marketing materials, which users can then review and refine, ensuring that marketing efforts are both efficient and effective.

Coding Assistance (e.g., GitHub Copilot): GitHub Copilot is an AI-powered coding companion. It suggests code snippets based on the developer’s context, helping to speed up the coding process, reduce bugs, and improve overall productivity.

Educational Tools (e.g., Jenni): Jenni offers personalized learning experiences using AI. It adapts to individual learning styles, providing interactive modules that enhance engagement and comprehension, leading to better academic performance.

These AI tools showcase the versatility of artificial intelligence, providing solutions that enhance efficiency and creativity across various domains.

AI Hub

Jupyter Notebooks vs Google Colab

 

1. Jupyter Notebooks:

   • What It Is: Jupyter Notebooks is an open-source web application that allows you to create and share documents that contain live code, equations, visualizations, and narrative text.
   • Local Setup: It runs on your own computer. You need to install Python and any libraries you want to use.
   • Usage: It’s great for experimenting with code and data analysis in Python.

2. Google Colab:

   • What It Is: Google Colab, or “Colaboratory”, is a free service from Google Research.
   • Cloud-Based: It operates on Google’s cloud servers, which means you can access it from anywhere with an internet connection.
   • No Setup Needed: It comes with most of the Python libraries you’ll need pre-installed.
   • GPU Support: It provides free access to GPUs (Graphics Processing Units) which can speed up certain types of computations.
   • Collaboration: You can easily share your Colab notebooks and collaborate with others in real time.
   • Integration with Google Drive: It integrates with Google Drive, making it easy to save your work and access files.

For a Novice to Python:

• Python: It’s a programming language that’s known for its readability and versatility.
• Libraries: These are collections of pre-written code that you can use to add functionality to your Python programs without having to write the code yourself.

Starting with Jupyter Notebooks:

1. Install Python: Download and install Python from the official website.
2. Install Jupyter: Use pip, Python’s package manager, to install Jupyter by running pip install jupyter in your command line.
3. Launch Jupyter: Run jupyter notebook in your command line to start Jupyter and use it in your web browser.

Starting with Google Colab:

1. Google Account: Make sure you have a Google account.
2. Access Colab: Go to the Google Colab website and log in with your Google account.
3. Create a New Notebook: Click on ‘New Notebook’ to start coding in Python right away.

Both environments are excellent for learning and doing data science with Python. They allow you to write and run Python code, see the results, and explain what you did in a document-like format.

AI Image creation

The AI image creation tool by Freepik is an innovative platform that allows users to generate images from text descriptions using artificial intelligence. Here’s a brief overview of how it works and its features:

Real-Time Generation: The tool can create images in real time based on the prompts you provide. This means you can see the results almost immediately after entering your description1.

Simple Prompts: You don’t need to write long or complex prompts. The tool is designed to work with straightforward terms, and you can use preset styles, colors, and camera angles to guide the image generation process1.

High-End Textures and Realism: The AI is capable of generating images with high-quality textures and realistic details, including accurate skin tones1.

Permutation Prompts: You can generate multiple variations of images by using permutation prompts. For example, by writing “A (woman|man) standing in a (park|beach),” the AI will create images for every possible combination of these options1.

Photorealistic Pictures: There’s a ‘photo’ style option within the generator that allows you to create images that are so detailed and realistic, they can be hard to distinguish from actual photographs1.

User-Friendly Interface: Freepik’s AI image generator is designed to be easy to use, with an interface that guides you through the creation process without the need for external platforms2.

Versatility: The tool can be used for a variety of purposes, whether you need an image for personal use or professional projects. It offers flexibility in terms of editing and modifying the generated images2.

Freepik’s AI image generator is part of a suite of AI tools that aim to enhance creativity and productivity, making it easier for users to bring their ideas to life2.

AI image creation tool 

Example prompt: Elephent in front of taj mahal

Linux directory structure

 

Meet Your New Assistant: Meta AI, Built With Llama 3

 

Takeaways

• A better assistant: Thanks to our latest advances with Meta Llama 3, we believe Meta AI is now the most intelligent AI assistant you can use for free – and it’s available in more countries across our apps to help you plan dinner based on what’s in your fridge, study for your test and so much more.
• More info: You can use Meta AI in feed, chats, search and more across our apps to get things done and access real-time information, without having to leave the app you’re using. 

• Faster images: Meta AI’s image generation is now faster, producing images as you type, so you can create album artwork for your band, decor inspiration for your apartment, animated custom GIFs and more.

https://about.fb.com/news/2024/04/meta-ai-assistant-built-with-llama-3/

Top 10 Non Coding IT Jobs And 10 Highest Paying Jobs In 2024 | No Coding IT Jobs 2024 | Simplilearn

✅ IT Project Manager

As an IT Project Manager, you'll find yourself overseeing teams, budgets, and timelines. Your ability to juggle multiple tasks and keep everyone on the same page will be your greatest asset.

✅ Business Analyst

Business Analysts are like the detectives of the IT world. They investigate processes, identify inefficiencies, and recommend solutions to improve business operations. 

✅ Cybersecurity Analyst

In this role, you'll monitor networks, identify vulnerabilities, and implement security measures to safeguard sensitive data. It's a high-stakes job that doesn't require coding but demands a keen eye for detail.

✅ Data Analyst

Data Analysts collect, clean, and analyze data to help organizations make data-driven decisions. Your ability to spot trends, create visualizations, and communicate your findings will be your superpowers in this role. 

✅ User Experience (UX) Designer

UX Designers put themselves in the shoes of users to create intuitive and enjoyable digital experiences. You'll be responsible for wireframing, prototyping, and conducting user research. 

How AI is Changing Coaching and Data Analysis

AI is making a big difference in many areas, not just sports! It's helping people do their jobs better and achieve amazing results.

How AI Helps Different People

- Athletes: AI helps them train smarter and perform better.  

- Coaches: It helps them create winning strategies.  

- Teachers: AI tools make learning easier and more personalized for students.  

- Data Experts: AI simplifies analyzing large amounts of data to make better decisions.

Personal AI Helpers  

AI can also be customized for individual interests:  

- For someone who loves marine biology, AI can guide them in exploring ocean life 🐠🌊.  

- For someone passionate about photography, AI can offer tips and inspiration 📸.  

These AI mentors act like helpful guides, giving advice and encouragement.

Why AI is Amazing

- AI adds excitement to everyday life.  

- It helps us learn new things in fun and smart ways.  

- The possibilities with AI are endless—it's like having a super-smart buddy to guide you. ✨🤖💡 

AI is changing the world and making learning and working easier and more exciting for everyone!

Elon Musk's intriguing prediction —"AI will be smarter than the smartest human within two years"

Elon Musk’s recent prediction that artificial intelligence (AI) will surpass human intelligence within two years has ignited debates and excitement. AGI, with human-like cognitive abilities, could revolutionize various domains, but challenges remain.

🚀 Fact: Musk suggests AGI could arrive by 2025, outperforming our brightest minds. 

🔍 Challenges: Ethical dilemmas, chip shortages, and power demands hinder AGI development. 

🌟 Outlook: AGI could accelerate medicine, sustainability, and space exploration. 

🤖 Importance: Beyond tech, it’s a philosophical shift—redefining intelligence and consciousness.

While the timeline remains uncertain, the journey toward AGI promises both awe and responsibility. 🌐🧠🌎

GPT-4 on the top with latest release

The recent ascent of GPT-4-Turbo-2024-04-09 to the top of the Chatbot Arena Leaderboard signifies OpenAI’s continued innovation. It boasts enhanced vision capabilities, streamlined function calling, and improved instruction following. Meanwhile, smaller, cost-effective models like Claude 3 Sonnet and Claude 3 Haiku compete fiercely. Mistral AI’s Mixtral-8x22B is hailed as a powerful open model. Looking ahead, the next revolution may involve Large World Models (LWMs), extending beyond text to encompass our physical and digital realities. As for sovereignty, Japan collaborates with NVIDIA to upskill its workforce and develop Japanese language models, emphasizing the importance of Sovereign AI. The future awaits, and the next sovereign model remains a captivating mystery. 🌟🤖

Free Courses to Learn AI (Artificial Intelligence) in 2024

 AI For Everyone– Coursera

Provider- deeplearning.ai

Rating- 4.8/5

Time to Complete- 6 Hours

Level- Beginner

This is a Free to Audit course which means all the content is available freely but for the certificate, you have to pay.

As the name sounds, “AI for Everyone”, so yes, this course is for everyone who wants to learn Artificial Intelligence. This course is taught by Andrew Ng the Co-founder of Coursera, and an Adjunct Professor of Computer Science at Stanford University.

This course is a perfect first step for complete beginners in Artificial Intelligence. If you are a beginner and want to learn Artificial intelligence, then start your AI journey with this course.

This course provides a comprehensive overview of Artificial Intelligence. But this course is very basic, only for beginners.

Who Should Enroll?

• Those who are complete beginners and want to learn the Basics of Artificial Intelligence.

Interested to Enroll?

AI For Everyone

Free Courses to Learn AI (Artificial Intelligence) in 2024

Intro to Artificial Intelligence– Udacity

Time to Complete- 4 Months

Level- Intermediate

This is a completely free course to learn artificial intelligence. In this course, you will learn the basics of artificial intelligence( Statistics, Uncertainty, Bayes networks, Machine learning, Logic, and planning).

You will also learn the application of artificial intelligence( Image processing, computer vision, robotics, and robot motion planning, Natural language processing, and information retrieval).

Who Should Enroll?

• Those who have understanding of probability theory.

Interested to Enroll?

Intro to Artificial Intelligence

 

Artificial Intelligence (AI) beyond the realms of Machine Learning (ML) and Deep Learning (DL).

1. AI (Artificial Intelligence):

   • Definition: AI encompasses technologies that enable machines to mimic cognitive functions associated with human intelligence.
   • Examples:
     • 🗣️ Natural Language Processing (NLP): AI systems that understand and generate human language. Think of chatbots, virtual assistants (like Siri or Alexa), and language translation tools.
     • 👀 Computer Vision: AI models that interpret visual information from images or videos. Applications include facial recognition, object detection, and self-driving cars.
     • 🎮 Game Playing AI: Systems that play games like chess, Go, or video games using strategic decision-making.
     • 🤖 Robotics: AI-powered robots that can perform tasks autonomously, such as assembly line work or exploring hazardous environments.

2. Rule-Based Systems:

   • Definition: These are AI systems that operate based on predefined rules or logic.
   • Examples:
     • 🚦 Traffic Light Control: Rule-based algorithms manage traffic lights by following fixed patterns (e.g., green for a specific duration, then yellow, then red).
     • 📜 Expert Systems: These systems use rules to make decisions in specialized domains (e.g., medical diagnosis, tax planning).

3. Symbolic AI:

   • Definition: Symbolic AI represents knowledge using symbols and rules.
   • Examples:
     • 🌐 Knowledge Graphs: Representing relationships between entities (e.g., Wikipedia infoboxes).
     • 🧠 Logic Programming: Using formal logic to infer conclusions (e.g., Prolog).

4. Genetic Algorithms:

   • Definition: AI techniques inspired by natural selection and genetics.
   • Examples:
     • 🧬 Optimization Problems: Genetic algorithms evolve solutions over generations (e.g., optimizing flight schedules).

5. Swarm Intelligence:

   • Definition: AI models inspired by collective behavior in natural systems.
   • Examples:
     • 🐝 Ant Colony Optimization: Mimicking ant foraging behavior to solve optimization problems.
     • 🦋 Particle Swarm Optimization: Simulating bird flocking to find optimal solutions.

Remember, AI is a vast field, and these examples showcase its diversity beyond ML and DL! 🚀🤓

Difference between AI (Artificial Intelligence) and Machine Learning (ML)

 🤖 AI (Artificial Intelligence):

• Definition: AI refers to creating machines or software that can perform tasks that typically require human intelligence.
• Example: Think of AI as the brain of a robot. It allows the robot to make decisions, learn from its environment, and adapt to new situations.
• Emoji: 🤖

🧠 Machine Learning (ML):

• Definition: ML is a subset of AI. It’s like teaching a computer to learn from data without explicitly programming it.
• Example: Imagine you’re teaching a pet dog to recognize different toys. You show the dog examples of a ball, a bone, and a frisbee. Over time, the dog learns to identify these objects on its own.
• Emoji: 🧠

🤖 vs. 🧠:

• AI is the big concept—the idea of creating smart machines.
• ML is the practical implementation within AI—it’s how we teach those machines to learn and improve.

Remember, AI is like the dream of creating intelligent beings, and ML is the practical way we make that dream come true! 🛠️🚀

Differences between Azure OpenAI, GPT-4, and GPT-4 Turbo

 

1. Azure OpenAI:

   • Azure OpenAI Service is a cloud-based platform provided by Microsoft.
   • It integrates OpenAI’s powerful language models into Azure services.
   • Azure OpenAI Service offers various models, including GPT-4 and GPT-4 Turbo, for natural language understanding and generation.
   • It provides advanced security features, network isolation, and custom authentication for private access to models.

2. GPT-4:

   • GPT-4 is a large multimodal model developed by OpenAI.
   • It accepts both text and image inputs and generates text as output.
   • GPT-4 improves upon GPT-3.5 and has a broader general knowledge and advanced reasoning capabilities.
   • It is optimized for chat and traditional completions tasks.

3. GPT-4 Turbo:

   • GPT-4 Turbo is an enhanced version of GPT-4.
   • It balances advanced capabilities with faster response times.
   • Suitable for interactive applications, it provides accurate responses while maintaining efficiency.

In summary, Azure OpenAI integrates GPT-4 and GPT-4 Turbo models, offering powerful language capabilities for various applications. GPT-4 Turbo is particularly well-suited for chat interactions and complex problem-solving. 🛠️🚀

Azure OpenAI Service models - Azure OpenAI | Microsoft Learn

Generative AI : tool-calling-with-langchain

tool-calling-with-langchain 

Application of Generative AI

 

Application of Generative AI

 

Application of Generative AI

 

Application of Generative AI

 Generative AI is like a magical text artist. Imagine it as a creative wizard that can whip up new stuff—images, music, even 3D models—without needing a human to spell out every detail. 🌟✨

Here’s the lowdown in simple terms:

1. What Is Generative AI?

   • It’s like a Picasso of code. 🎨
   • Instead of just predicting stuff, it creates new things.
   • Imagine it as a language-savvy robot that learns from existing data and then invents fresh content. 🤖📝

2. How It Works: The Magic Recipe

   • Generative models (fancy AI recipes) learn patterns from data.
   • They peek at existing stuff (like images, text, or music) and say, “Hey, I got this!”
   • Then they whip up new content that looks like the original. Voilà! 🎩🐇

3. Generative Models: The Cool Crew

   • GANs (Generative Adversarial Networks): These are like rival artists. One creates, the other judges. They battle it out until the art is mind-blowing. 🎨🤝
   • VAEs (Variational Autoencoders): These are the dreamers. They learn to encode and decode data, making cool new stuff. 🌌🔍
   • Autoregressive Models: These are the storytellers. They predict the next word in a sentence, like a literary fortune teller. 📖🔮

4. Why It’s Buzzing Everywhere

   • Remember ChatGPT? That chatbot that chats like a human? Yep, generative AI!
   • It’s not brand-new; it’s been simmering for 50+ years.
   • Think of it as a creative time machine—it borrows from the past to invent the future. 🚀🕰️

So next time you see a funky emoji or a mind-bending image, give a nod to generative AI—it’s the artist behind the curtain! 🎨🌟

Application of Generative AI

 

Purpose of Generative AI

 

Generative AI

 

Machine Learning

 

Types of Artificial Intelligence

 

Levels of AI

1. Artificial Narrow Intelligence (ANI) 🧠🔍:

   • Also known as “Weak AI” or “Narrow AI”, ANI is like a specialized expert. It excels at specific tasks but lacks broader understanding.
   • Examples of ANI:
     • 📱 Siri: Your helpful iPhone assistant that answers questions and sets reminders.
     • 🚗 Self-Driving Cars: They navigate roads, avoid obstacles, and park—all thanks to narrow AI.
     • 🎥 Netflix Recommendations: Ever wonder how Netflix suggests shows? ANI analyzes your viewing history to recommend similar content.
     • 🔍 Google RankBrain: It fine-tunes search results based on user behavior.
   • ANI is like a focused worker bee—great at its job but not much beyond that! 🐝

2. Artificial General Intelligence (AGI) 🤯🧠:

   • AGI, also called “Strong AI”, is the dreamy stuff of sci-fi movies. It’s as smart as humans, understands context, and learns across various domains.
   • Examples (though we haven’t fully achieved AGI yet):
     • 🤖 Data from “Star Trek”: Remember Data? He’s the epitome of AGI—a sentient android with emotions and intellect.
     • 🤖 HAL 9000 from “2001: A Space Odyssey”: HAL is AGI gone rogue, with human-like reasoning and consciousness.
     • 🤖 Rosie from “The Jetsons”: She’s the ultimate AGI housekeeper—cooking, cleaning, and cracking jokes.
   • AGI would be like having a super-smart friend who can do anything! 🌟🤖

3. Artificial Superintelligence (ASI) 🌐🧬:

   • ASI is beyond human comprehension. It’s like an Einstein on steroids, solving problems we can’t even fathom.
   • Example (hypothetical, for now):
     • 🌐 Hyper-Advanced AI: Imagine an ASI that solves climate change, cures diseases, and predicts stock markets flawlessly.
   • ASI would be like having a cosmic oracle—omniscient and awe-inspiring! 🌌🔮

Remember, ANI is our current reality, AGI is our dream, and ASI is our cosmic mystery. 🚀✨

 

AI in Content Recommendation for Entertainment

 

Understanding AI and Its Role in Entertainment

Artificial Intelligence (AI) is like a digital brain that simulates human intelligence. It processes data, learns from patterns, and makes decisions. Here’s how it works:

1. Data Collection: AI gathers information from various sources.
2. Machine Learning (ML): AI algorithms learn from this data.
3. Deep Learning: Advanced ML techniques that understand complex patterns.

AI in Entertainment: Transforming How We Consume Content

1. Content Creation 🎵🎥🎮

   • AI generates new music, movies, and games.
   • By analyzing existing content, it creates something fresh and unique.
   • Imagine AI composing a hit song or scripting a blockbuster movie! 🌟

2. Script Analysis 📜

   • AI helps filmmakers analyze scripts.
   • Predicts which content will be popular based on trends.
   • Imagine predicting the next binge-worthy TV series! 🎥🍿

3. Post-Production 🎞️

   • AI speeds up editing, color grading, and special effects.
   • Reduces manual labor and enhances quality.
   • Imagine seamless movie magic behind the scenes! ✨

4. Content Recommendation Systems 📺🎧

   • Netflix, Spotify, and Amazon Prime use AI to recommend personalized content.
   • Analyzing your viewing habits, they suggest what to watch or listen to next.
   • Imagine having your own AI-powered entertainment curator! 🎶🔍

Benefits of AI in Entertainment

• Efficiency: Faster production, better editing, and personalized recommendations.
• Innovation: AI pushes creative boundaries.
• User Experience: Tailored content for individual tastes.

Remember, AI isn’t replacing human creativity—it’s enhancing it! So, grab your popcorn and enjoy the AI-powered entertainment revolution! 🍿🚀