filmov
tv
Get Started with LangChain LLM Models - Step by Step with Python
Показать описание
If you are new to LLM and want to start you learning, the best tool is LangChain which is super easy to use with Python. Basically, LangChain is a framework built around LLMs. We can use it for chatbots, Generative Question-Answering (GQA), summarization, and much more. The core idea of the library is that we can “chain” together different components to create more advanced use cases around LLMs.
This video can be your kick-start to your journey into Generative AI or Large Language Models from coding perspective. With this tutorial you will be able to write questions, queries or other requests to OpenAI, to be more specific, to ChatGPT chat models.
I think, as a good start is LangChain's generation function, which generate random outputs to your inputs within Python code.
With OpenAI.generate method you will be able to construct and manage multiple queries at once.
The content of the tutorial:
0:00 - Intro
0:26 - Prepare Python virtual environment and install LangChain
1:00 - Setup OpenAI API Key
2:10 - Load OpenAI API Key to Python code
2:56 - Install OpenAI Python package
3:14 - LM Object Initialization with LangChain
4:17 - Simple LLM usage example and increase OpenAPI quote
5:59 - Use generations in LLMs with LangChain
8:47 - Final word
Note: text-davinci-003 text completion model was used when the video was recorded.
References to material mentioned in the video:
If you want to get more GenerativeAI, Data Science, Python programming or any new related high quality content, please subscribe the channel @DataScienceGarage !
#langchain #python #LLM
This video can be your kick-start to your journey into Generative AI or Large Language Models from coding perspective. With this tutorial you will be able to write questions, queries or other requests to OpenAI, to be more specific, to ChatGPT chat models.
I think, as a good start is LangChain's generation function, which generate random outputs to your inputs within Python code.
With OpenAI.generate method you will be able to construct and manage multiple queries at once.
The content of the tutorial:
0:00 - Intro
0:26 - Prepare Python virtual environment and install LangChain
1:00 - Setup OpenAI API Key
2:10 - Load OpenAI API Key to Python code
2:56 - Install OpenAI Python package
3:14 - LM Object Initialization with LangChain
4:17 - Simple LLM usage example and increase OpenAPI quote
5:59 - Use generations in LLMs with LangChain
8:47 - Final word
Note: text-davinci-003 text completion model was used when the video was recorded.
References to material mentioned in the video:
If you want to get more GenerativeAI, Data Science, Python programming or any new related high quality content, please subscribe the channel @DataScienceGarage !
#langchain #python #LLM
0:13:59
How to Get Started with LangChain for LLM/AI Development! Beginner's Guide to LangChain
0:09:06
Get Started with LangChain LLM Models - Step by Step with Python
0:27:28
LangChain Crash Course: Build a AutoGPT app in 25 minutes!
0:43:23
Getting Started With LangChain In 20 Minutes- Build Celebrity Search Application
0:20:16
Getting Started with GPT-3 vs. Open Source LLMs - LangChain #1
0:26:25
Getting Started with LangChain | JavaScript Tutorial #1
0:28:21
How to Build Your First AI LLM Prompts with OpenAI and Langchain
0:17:19
Prompt Engineering And LLM's With LangChain In One Shot-Generative AI
0:00:34
What does the temperature parameter in LangChain adjust?
0:16:29
Using ChatGPT with YOUR OWN Data. This is magical. (LangChain OpenAI API)
0:11:33
Get Started With LangChain #1| LLM's + Prompt Templates|
0:09:48
Hugging Face + Langchain in 5 mins | Access 200k+ FREE AI models for your AI apps
0:18:52
LangChain Quickstart - Create your Own LLM Chain with Exercises
0:06:49
Build your own simple LLM application using LangChain in Python | Langchain Basic Concepts
0:10:46
Falcon-7B-Instruct LLM with LangChain Tutorial
0:09:29
Get Started with LangChain in Node.js
0:10:22
LangChain - Using Hugging Face Models locally (code walkthrough)
0:19:39
LangChain Basics Tutorial #1 - LLMs & PromptTemplates with Colab
0:11:04
Langchain - Getting Started (LLM, Prompt, Chain, Agent, Memory Basics)
0:08:03
Beyond Basic LLM Applications: Getting Started With Redis and LangChain
1:14:34
LLM Project | End to End LLM Project Using Langchain, OpenAI in Finance Domain
0:07:28
The Beginner's Guide to LangChain: A Framework for Building LLM Powered Applications
0:31:44
An Introduction to LLM Agents | From OpenAI Function Calling to LangChain Agents
0:36:10
LangSmith Tutorial - LLM Evaluation for Beginners
Комментарии