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Ranking system chatbot with Langchain, LLM, Vector DB

SynopsisRanking system & chatbot with Langchain, LLM, Vector DB,...
Ranking system chatbot with Langchain, LLM, Vector DB  No.1

Ranking system & chatbot with Langchain, LLM, Vector DB, available at Free, has an average rating of 4.35, with 5 lectures, based on 21 reviews, and has 1324 subscribers.

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You will learn about Overview of terms used in this course Overview of building ranking system using tensor flow, hugging face transformer, pipecone vector db, and neural network Ranking system POC code walk through Overview of building a market pro chatbot using langchain, openAI, and in memory vector db Market pro chatbot code walk through This course is ideal for individuals who are Everyone wants a hands on experience of building ranking system and openai chatbot. This course provides overview, flow diagram and code walk through. Both use cases are working POC. It is particularly useful for Everyone wants a hands on experience of building ranking system and openai chatbot. This course provides overview, flow diagram and code walk through. Both use cases are working POC.

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Summary

Title: Ranking system & chatbot with Langchain, LLM, Vector DB

Price: Free

Average Rating: 4.35

Number of Lectures: 5

Number of Published Lectures: 5

Number of Curriculum Items: 5

Number of Published Curriculum Objects: 5

Original Price: Free

Quality Status: approved

Status: Live

What You Will Learn

  • Overview of terms used in this course
  • Overview of building ranking system using tensor flow, hugging face transformer, pipecone vector db, and neural network
  • Ranking system POC code walk through
  • Overview of building a market pro chatbot using langchain, openAI, and in memory vector db
  • Market pro chatbot code walk through
  • Who Should Attend

  • Everyone wants a hands on experience of building ranking system and openai chatbot. This course provides overview, flow diagram and code walk through. Both use cases are working POC.
  • Target Audiences

  • Everyone wants a hands on experience of building ranking system and openai chatbot. This course provides overview, flow diagram and code walk through. Both use cases are working POC.
  • Learn how to create a sophisticated ranking system and a cutting-edge stock market professional chatbot by leveraging the power of advanced AIML tooling and frameworks. In this comprehensive course, you will gain hands-on experience with a variety of state-of-the-art technologies and techniques to build intelligent systems that excel in ranking and stock market analysis.

    We will begin by exploring LangChain, a powerful language modeling framework that enables the creation of intelligent conversational agents. You will dive deep into its capabilities and learn how to harness its potential to build robust and context-aware chatbots.

    Next, we will delve into the world of machine learning with Tensorflow. Through practical exercises, you will acquire a solid understanding of neural networks and their application in training models for accurate predictions and decision-making in the stock market domain.

    To further enhance your AI toolkit, we will introduce you to OpenAI, an industry-leading platform that offers a plethora of cutting-edge machine learning models and APIs. You will explore its vast capabilities and leverage its powerful algorithms to enhance your chatbot’s natural language processing capabilities.

    Additionally, we will explore the Hugging Face Transformer library, which provides a comprehensive suite of pre-trained models for a wide range of natural language processing tasks. You will learn how to fine-tune these models to create a highly intelligent and contextually aware chatbot.

    Furthermore, you will gain expertise in working with Pipecone Vector DB, an efficient and scalable database specifically designed for managing large volumes of vectors. You will learn how to store and query vector-based data, such as embeddings generated by your chatbot, effectively.

    Lastly, you will explore InMemory Vector DB, a fast and memory-efficient database solution that enables real-time data access and manipulation. You will learn how to leverage its capabilities to improve the performance of your ranking system and stock market chatbot.

    By the end of this course, you will have acquired the skills and knowledge needed to build sophisticated ranking systems and stock market professional chatbots, empowering you to make informed decisions and succeed in the rapidly evolving world of artificial intelligence and finance.

    Course Curriculum

    Chapter 1: Build A Market Pro ChatBot & Ranking System

    Lecture 1: Important Terminology Overview

    Lecture 2: Market Pro Chatbot Overview

    Lecture 3: Market Pro Chatbot Code Walk Through

    Lecture 4: Ranking System Overview

    Lecture 5: Ranking System Code Walk Through

    Instructors

  • Ranking system chatbot with Langchain, LLM, Vector DB  No.2
    Eric Rong
    AI ML Enthusiast
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  • 1 stars: 0 votes
  • 2 stars: 3 votes
  • 3 stars: 0 votes
  • 4 stars: 5 votes
  • 5 stars: 13 votes
  • Frequently Asked Questions

    How long do I have access to the course materials?

    You can view and review the lecture materials indefinitely, like an on-demand channel.

    Can I take my courses with me wherever I go?

    Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!