10-10-2024, 02:25 PM
![[Image: 7aa0fe8139ed71c825e1704c9808005e.jpg]](https://i124.fastpic.org/big/2024/1010/5e/7aa0fe8139ed71c825e1704c9808005e.jpg)
Ai 4 Everyone: Dive Into Modern Ai With Llama 3.1 And Gemini
Published 9/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 4.31 GB | Duration: 6h 33m
Master AI-Powered Apps with Llama 3.1 and Gemini: Automate tasks, build LLM apps, and explore practical AI solutions.
[b]What you'll learn[/b]
How to automate tasks using AI: From writing emails to summarizing YouTube videos and creating images, all without coding
Building AI-powered applications: Using Python and Streamlit to create apps like a recipe generator, AI meal planner, and YouTube video-to-blog converter.
Working with documents and databases: Learn how to chat with and extract information from PDFs, SQL databases, and multilingual invoices using AI.
LangChain agents: How to use agents for interacting with CSV and JSON files for advanced Q&A capabilities.
Prompt Engineering: Learn techniques to effectively communicate with AI models like Llama 3.1 and Gemini for various tasks.
Building advanced AI-powered applications such as a PDF sorter, text-to-SQL LLM app for querying SQL databases, and a multi-language invoice extractor
[b]Requirements[/b]
Basic experience with Python programming
Curiosity to explore the field of AI
[b]Description[/b]
Welcome to "AI 4 Everyone: Dive into Modern AI with Llama 3.1 and Gemini"-a comprehensive course designed for anyone looking to unlock the power of AI, whether you are a non-technical professional, or an aspiring AI developer.In this course, you'll learn how to automate tasks, create powerful applications, and interact with AI models without needing extensive coding knowledge. Even if you're a beginner, this course will guide you through building practical AI tools that simplify your day-to-day work.What You Will Learn:Automating Tasks with AI: Learn how to write professional emails, summarize YouTube videos, create stunning images, and explain complex graphs-all without writing a single line of code.Developing AI-Powered Applications: Using Python and Streamlit, you'll create real-world applications like:A Recipe Generator that creates recipes based on your requests.An AI Meal Planner that organizes your meals based on nutritional needs.A YouTube Video to Blog Converter that transforms videos into blog posts.A PDF Sorter to efficiently organize and categorize documents.Document & Database Interactions: Discover how to chat with and extract information from documents, including:Text-to-SQL LLM Applications that query SQL databases.Multi-language Invoice Extractor that extracts text from invoices in various languages.PDF Q&A and sorting: Interact with your PDF files and manage them without the need for training or fine-tuning Large Language Models.LangChain Agents for CSV & JSON: Learn advanced AI techniques, like using LangChain agents to interact with CSV and JSON files for Q&A purposes.Prompt Engineering: Learn how to effectively communicate with AI models like Llama 3.1 and Gemini by learning prompt engineering techniques that give precise outputs for a variety of tasks.
Overview
Section 1: Introduction to the Course
Lecture 1 Introduction to the Course
Section 2: Key Concepts Overview
Lecture 2 Training Data - Tokens - Temperature - Guidance Scale - Embeddings - Memory
Section 3: Prompt Engineering: How to Communicate Effectively with AI
Lecture 3 Prompt Engineering: How to Effectively Talk to an AI
Section 4: Use No-Code AI Online Tools to Automate Daily Tasks and Seek Guidance
Lecture 4 Maximize Productivity with Online AI Tools: Assistance, Guidance, and Automation
Lecture 5 Write a Sick Leave Using AI
Lecture 6 How to Summarize a YouTube Video with AI
Lecture 7 AI-Powered Image Generation: How to Do It Instantly
Lecture 8 How to Use AI to Analyze and Explain a Graph
Section 5: Graphical User Interface (GUI) Introduction
Lecture 9 GUI Introduction
Section 6: Streamlit Elements
Lecture 10 How to Use Basic Streamlit Elements
Section 7: Build a Simple Large Language Model (LLM) Application with LangChain
Lecture 11 LLM Application to translate text from English into Another Language
Lecture 12 Deploy LLM Application with LangServe as a REST API
Section 8: Build a Retrieval Augmented Generation (RAG) Application
Lecture 13 Build a Retrieval Augmented Generation (RAG) Application
Section 9: Conversational Retrieval Augmented Generation (RAG)
Lecture 14 Conversational Retrieval Augmented Generation (RAG)
Section 10: Chat with JSON Files using LangChain Agent & Llama 3.1 Model
Lecture 15 Chat with JSON Files using LangChain Agent & Llama 3.1 Model
Section 11: Chat with Multiple Documents using LangChain, Llama 3.1 and Chroma
Lecture 16 Chat with Multiple Documents using LangChain, Llama 3.1 and Chroma
Section 12: Chat with a CSV File using LangChain Agent and Llama 3.1 Model | Streamlit App
Lecture 17 Chat with a CSV File using LangChain Agent and Llama 3.1 Model | Streamlit App
Section 13: Multi-Language Invoice Extractor using Google Gemini Model
Lecture 18 Multi-Language Invoice Extractor using Google Gemini Model
Section 14: Text to SQL LLM App Along with Querying SQL Database using Google Gemini Model
Lecture 19 Text to SQL LLM App Along with Querying SQL Database using Google Gemini Model
Section 15: Create Your Own Recipes with AI: Streamlit Recipe Generator Tutorial
Lecture 20 Create Your Own Recipes with AI: Streamlit Recipe Generator Tutorial
Section 16: Build an AI Meal Planner with Streamlit: Customize Your Diet Plan
Lecture 21 Build an AI Meal Planner with Streamlit: Customize Your Diet Plan
Section 17: Organize PDFs Efficiently: Build a Streamlit PDF Sorter Application
Lecture 22 Organize PDFs Efficiently: Build a Streamlit PDF Sorter Application
Section 18: Convert YouTube Videos to Blog Posts with Streamlit
Lecture 23 Convert YouTube Videos to Blog Posts with Streamlit
Anyone interested in practical AI: Whether with or without coding, this course offers valuable insights into both no-code and coding-based AI solutions.,Anyone excited about building AI-powered applications using Large Language Models (LLMs),Anyone curious about how modern AI can assist in daily tasks without needing coding skills.,Those who want to learn how to interact with AI for tasks such as document processing, database querying, and generating reports.,People in various industries looking to automate tasks like writing emails, summarizing content, and managing data with the help of AI.,Anyone wanting to grasp prompt engineering and AI interaction to efficiently communicate with models like Llama 3.1 and Gemini.
![[Image: aXV6zo6g_o.jpg]](https://images2.imgbox.com/09/63/aXV6zo6g_o.jpg)
[b]What you'll learn[/b]
How to automate tasks using AI: From writing emails to summarizing YouTube videos and creating images, all without coding
Building AI-powered applications: Using Python and Streamlit to create apps like a recipe generator, AI meal planner, and YouTube video-to-blog converter.
Working with documents and databases: Learn how to chat with and extract information from PDFs, SQL databases, and multilingual invoices using AI.
LangChain agents: How to use agents for interacting with CSV and JSON files for advanced Q&A capabilities.
Prompt Engineering: Learn techniques to effectively communicate with AI models like Llama 3.1 and Gemini for various tasks.
Building advanced AI-powered applications such as a PDF sorter, text-to-SQL LLM app for querying SQL databases, and a multi-language invoice extractor
[b]Requirements[/b]
Basic experience with Python programming
Curiosity to explore the field of AI
[b]Description[/b]
Welcome to "AI 4 Everyone: Dive into Modern AI with Llama 3.1 and Gemini"-a comprehensive course designed for anyone looking to unlock the power of AI, whether you are a non-technical professional, or an aspiring AI developer.In this course, you'll learn how to automate tasks, create powerful applications, and interact with AI models without needing extensive coding knowledge. Even if you're a beginner, this course will guide you through building practical AI tools that simplify your day-to-day work.What You Will Learn:Automating Tasks with AI: Learn how to write professional emails, summarize YouTube videos, create stunning images, and explain complex graphs-all without writing a single line of code.Developing AI-Powered Applications: Using Python and Streamlit, you'll create real-world applications like:A Recipe Generator that creates recipes based on your requests.An AI Meal Planner that organizes your meals based on nutritional needs.A YouTube Video to Blog Converter that transforms videos into blog posts.A PDF Sorter to efficiently organize and categorize documents.Document & Database Interactions: Discover how to chat with and extract information from documents, including:Text-to-SQL LLM Applications that query SQL databases.Multi-language Invoice Extractor that extracts text from invoices in various languages.PDF Q&A and sorting: Interact with your PDF files and manage them without the need for training or fine-tuning Large Language Models.LangChain Agents for CSV & JSON: Learn advanced AI techniques, like using LangChain agents to interact with CSV and JSON files for Q&A purposes.Prompt Engineering: Learn how to effectively communicate with AI models like Llama 3.1 and Gemini by learning prompt engineering techniques that give precise outputs for a variety of tasks.
Overview
Section 1: Introduction to the Course
Lecture 1 Introduction to the Course
Section 2: Key Concepts Overview
Lecture 2 Training Data - Tokens - Temperature - Guidance Scale - Embeddings - Memory
Section 3: Prompt Engineering: How to Communicate Effectively with AI
Lecture 3 Prompt Engineering: How to Effectively Talk to an AI
Section 4: Use No-Code AI Online Tools to Automate Daily Tasks and Seek Guidance
Lecture 4 Maximize Productivity with Online AI Tools: Assistance, Guidance, and Automation
Lecture 5 Write a Sick Leave Using AI
Lecture 6 How to Summarize a YouTube Video with AI
Lecture 7 AI-Powered Image Generation: How to Do It Instantly
Lecture 8 How to Use AI to Analyze and Explain a Graph
Section 5: Graphical User Interface (GUI) Introduction
Lecture 9 GUI Introduction
Section 6: Streamlit Elements
Lecture 10 How to Use Basic Streamlit Elements
Section 7: Build a Simple Large Language Model (LLM) Application with LangChain
Lecture 11 LLM Application to translate text from English into Another Language
Lecture 12 Deploy LLM Application with LangServe as a REST API
Section 8: Build a Retrieval Augmented Generation (RAG) Application
Lecture 13 Build a Retrieval Augmented Generation (RAG) Application
Section 9: Conversational Retrieval Augmented Generation (RAG)
Lecture 14 Conversational Retrieval Augmented Generation (RAG)
Section 10: Chat with JSON Files using LangChain Agent & Llama 3.1 Model
Lecture 15 Chat with JSON Files using LangChain Agent & Llama 3.1 Model
Section 11: Chat with Multiple Documents using LangChain, Llama 3.1 and Chroma
Lecture 16 Chat with Multiple Documents using LangChain, Llama 3.1 and Chroma
Section 12: Chat with a CSV File using LangChain Agent and Llama 3.1 Model | Streamlit App
Lecture 17 Chat with a CSV File using LangChain Agent and Llama 3.1 Model | Streamlit App
Section 13: Multi-Language Invoice Extractor using Google Gemini Model
Lecture 18 Multi-Language Invoice Extractor using Google Gemini Model
Section 14: Text to SQL LLM App Along with Querying SQL Database using Google Gemini Model
Lecture 19 Text to SQL LLM App Along with Querying SQL Database using Google Gemini Model
Section 15: Create Your Own Recipes with AI: Streamlit Recipe Generator Tutorial
Lecture 20 Create Your Own Recipes with AI: Streamlit Recipe Generator Tutorial
Section 16: Build an AI Meal Planner with Streamlit: Customize Your Diet Plan
Lecture 21 Build an AI Meal Planner with Streamlit: Customize Your Diet Plan
Section 17: Organize PDFs Efficiently: Build a Streamlit PDF Sorter Application
Lecture 22 Organize PDFs Efficiently: Build a Streamlit PDF Sorter Application
Section 18: Convert YouTube Videos to Blog Posts with Streamlit
Lecture 23 Convert YouTube Videos to Blog Posts with Streamlit
Anyone interested in practical AI: Whether with or without coding, this course offers valuable insights into both no-code and coding-based AI solutions.,Anyone excited about building AI-powered applications using Large Language Models (LLMs),Anyone curious about how modern AI can assist in daily tasks without needing coding skills.,Those who want to learn how to interact with AI for tasks such as document processing, database querying, and generating reports.,People in various industries looking to automate tasks like writing emails, summarizing content, and managing data with the help of AI.,Anyone wanting to grasp prompt engineering and AI interaction to efficiently communicate with models like Llama 3.1 and Gemini.
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