
Master LangChain and Gen AI by building practical language model apps through prompts, data connections, chains, agents, and memories.
Explore generative AI fundamentals, including GANs and transformer models like GPT-3, and see how they generate text, images, and code from learned patterns.
Explore what a software framework is, what large language models do, and how LangChain, an open-source framework, enables building LLM-powered apps with pipelines and data sources.
Discover Hugging Face as a collaborative AI platform with Transformers, offering pre-trained models for NLP and multi-modal tasks, and learn how to generate an access token.
Explore OpenAI and its language models - GPT-3, ChatGPT, Codex, DALL·E, and Whisper - and the OpenAI APIs, plus use cases from customer support to content creation.
Demonstrates leveraging LangChain with an OpenAI model to answer questions from a pdf by embedding text with FAISS and running a multi-component Q&A chain.
Explore LangChain's module overview, from chart models and retrievers to toolkits and vector stores, and understand how the platform, agents, and Lang Smith enable production ready AI apps.
Set up real-time LangChain and Hugging Face spaces, create a Streamlit app with a proper UI, and configure environment files like requirements.txt, .env-sample, and app.py for deployment.
Build a simple question answering app using streamlit and OpenAI. The lecture walks through uploading a file, capturing input, querying the model, and displaying the answer with a generate button.
The lecture demonstrates a chat model implementation in python using LangChain and OpenAI, detailing installation, API setup, and building a chat app with system and human messages and temperature controls.
Build a conversational application using Hugging Face Spaces and Streamlit, including file setup and environment configuration. Learn to manage session state and remember conversation history to power a chat bot.
Discover how text embedding models convert words into numerical vectors to capture relatedness and semantic meaning, using features and dimensionality reduction to feed AI systems.
Learn to implement text embeddings in Python using LangChain and OpenAI, convert text to numerical representations, and compare sentences with embedding features for practical apps.
Explore embeddings by converting text to vector representations and computing cosine similarity to find top matches, using LangChain and OpenAI embeddings on a CSV of words.
Build a similar words finder app using embeddings and FAISS in LangChain, with a Streamlit UI that returns related words like strawberry to banana and cat to dog.
Discover how prompts unlock large language models, learn to design prompts using templates, example selectors, and output parsers, and master prompt engineering to tailor LLM behavior.
Explore prompt templates in LangChain and OpenAI, learn why templates improve dynamic prompts with input variables, compare f strings vs templates, and build reusable prompts.
Explore how example selectors in the prompts module use few-shot templates with LangChain and OpenAI to shape outputs for tasks like summarization and question answering.
Explore LangChain's output parsers in the prompts module to produce CSV, JSON, or XML outputs by using format instructions and response schemas within a Jupyter notebook walkthrough.
Are you interested in harnessing the power of AI to create groundbreaking language-based applications?
Look no further than LangChain and Gen AI - a comprehensive course that will take you from a novice to an expert in no time.
Implement Generative AI (GenAI) apps with langchain framework using different LLMs.
By implementing AI applications powered with state-of-the-art LLM models like OpenAI and Hugging Face using Python, you will embark on an exciting project-based learning journey.
With LangChain, you will gain the skills and knowledge necessary to develop innovative LLM solutions for a wide range of problems.
Here are some of the projects we will work on:
Project 1: Construct a dynamic question-answering application with the unparalleled capabilities of LangChain, OpenAI, and Hugging Face Spaces.
Project 2: Develop an engaging conversational bot using LangChain and OpenAI to deliver an interactive user experience.
Project 3: Create an AI-powered app tailored for children, facilitating the discovery of related classes of objects and fostering educational growth.
Project 4: Build a captivating marketing campaign app that utilizes the persuasive potential of well-crafted sales copy, boosting sales and brand reach.
Project 5: Develop a ChatGPT clone with an added summarization feature, delivering a versatile and invaluable chatbot experience.
Project 6: MCQ Quiz Creator App - Seamlessly create multiple-choice quizzes for your students using LangChain and Pinecone.
Project 7: CSV Data Analysis Toll - Helps you analyze your CSV file by answering your queries about its data.
Project 8: Youtube Script Writing Tool - Effortlessly create compelling YouTube scripts with this user-friendly and efficient script-writing tool.
Project 9 - Support Chat Bot For Your Website - Helps your visitors/customers to find the relevant data or blog links that can be useful to them.
Project 10 - Automatic Ticket Classification Tool - The Automatic Ticket Classification Tool categorizes support tickets based on content to streamline ticket management and response processes.
Project 11 - HR - Resume Screening Assistance - HR project using AI to assist in screening resumes, optimizing the hiring process with smart analysis and recommendations
Project 12 - Email Generator using LLAMA 2- The Email Generator is a tool that automatically creates customized emails, saving time and effort in crafting personalized messages.
Project 13 - Invoice Extraction Bot using LLAMA 2- Invoice Extraction Bot: AI-powered tool that extracts key details from invoices accurately and efficiently. Simplify your data entry process.
Project 14 - Text to SQL Query Helper Tool: Convert natural language text into structured SQL queries effortlessly using the Text to SQL Query Tool for streamlined database interaction and data retrieval.
Project 15 - Customer Care Call Summary Alert - Concise notification highlighting key points and outcomes from recent customer service calls, aiding quick understanding and response
This course is designed to provide you with a complete understanding of LangChain, starting from the basics and progressing toward creating practical LLM-powered applications.
LangChain empowers programmers to fully utilize large language models, such as ChatGPT, pinecone, LLAMA 2, and Huggingface, and seamlessly integrate them with external data sources. This integration enhances the models' ability to comprehend and respond to human language.
Built with Python, LangChain offers a user-friendly interface tailored specifically for beginners, making it accessible to aspiring developers.
Course Overview:
Aspiring to build sophisticated language-based applications
LangChain is the perfect library for you.
Move beyond basic techniques like keyword matching or rule-based systems and maximize your reach by langchain.
Leverage the power of LLMs, and applications using LangChain and combine them with cognitive or information sources & pinecone.
Unlock tremendous potential and explore new possibilities with applications using LangChain and Pinecone.
Course Contents:
LangChain
LLMs
Chat Models
Prompts
Indexes
Chains
Agents
Memory
Google Gemini Pro
But this isn't just a theory-based course; it's a hands-on experience. You will engage in practical activities and real-world projects, reinforcing your understanding of these concepts and techniques.
By the end of the course, you will be equipped with the skills to apply Langchain effectively, building robust, pinecone, powerful, and scalable LLM applications for various purposes.
Don't miss this opportunity to become a language model expert.
Enroll in the LangChain course and embark on a transformative journey that will elevate your AI app development skills. LangChain , OpenAI , ChatGPT , LLM, langchain pinecone , LLAMA 2 , Huggingface Google Gemini Pro Python - these are the tools that will empower you to create cutting-edge AI applications that push the boundaries of what's possible.
Get ready to unlock your full potential and become a hero in the world of language-based AI development through langchain.
You will do practical activities and real-world projects throughout the applications using LangChain pinecone Google Gemini Pro course to strengthen your understanding of the concepts and techniques.
You will be competent in applying Langchain pinecone to build strong, effective, and scalable LLM applications for a variety of uses by the end of the course.