| 1. Benefits of open-source LLM models.mp4 | 26.5 MB | ||
| 1. Introduction to Generative AI and its applications ChatGPT, DALLE.mp4 | 75.3 MB | ||
| 1. Introduction to LangChain agents.mp4 | 18.4 MB | ||
| 1. Introduction to LangChain indexes.mp4 | 18.7 MB | ||
| 1. Introduction to LangChain.mp4 | 22.3 MB | ||
| 1. Introduction to Language Models.mp4 | 27.5 MB | ||
| 1. Introduction to vector databases and importance for LLMs.mp4 | 14.6 MB | ||
| 1. Introduction.mp4 | 77.9 MB | ||
| 1. Programming WorkFlows in LangChain.mp4 | 30.6 MB | ||
| 1. Tools for working with LLMs and NLP.mp4 | 13.7 MB | ||
| 2. Characteristics of vector databases.mp4 | 15.8 MB | ||
| 2. Different LangChain model types and requirements.mp4 | 36.7 MB | ||
| 2. Different open-source LLM models and comparative analysis.mp4 | 48.4 MB | ||
| 2. Discriminative vs. generative models.mp4 | 13 MB | ||
| 2. Hands-on Lab Programming the Wikipedia, Google, and Google agent.mp4 | 31.8 MB | ||
| 2. Linking multiple LLMs with LangChain.mp4 | 9.7 MB | ||
| 2. Open AI API.mp4 | 50.1 MB | ||
| 2. Practical Lab ChatGPT training with complete inforPDF.mp4 | 79.9 MB | ||
| 2. What are Language Models.mp4 | 23.3 MB | ||
| 3. Fundamentals of the Llama model.mp4 | 26.7 MB | ||
| 3. GANs Generative Adversarial Networks.mp4 | 14.4 MB | ||
| 3. Hugging Face Fundamentals.mp4 | 44.3 MB | ||
| 3. LLM input management with LangChain's Prompts Module.mp4 | 18.8 MB | ||
| 3. Practical Lab Chaining of Prompts with LangChain Chains.mp4 | 42.9 MB | ||
| 3. Practical Lab Integration of agents in ChatGPT.mp4 | 45.6 MB | ||
| 3. Types of Language Models.mp4 | 27 MB | ||
| 3. Vector Databases, Plugins and Vector Libraries.mp4 | 20.7 MB | ||
| 4. Alpaca model fundamentals.mp4 | 52.3 MB | ||
| 4. Combination of LLM with other components through chains.mp4 | 16.8 MB | ||
| 4. LangChain Fundamentals.mp4 | 33.7 MB | ||
| 4. Models based on Transformers.mp4 | 15.9 MB | ||
| 4. Practical Lab (II) Chaining Prompts with LangCha Chains.mp4 | 67.3 MB | ||
| 4. Vector search strategies and similarity metrics.mp4 | 11.1 MB | ||
| 5. Fundamentals of the Vicuña model.mp4 | 43.6 MB | ||
| 5. Open source LLM models.mp4 | 39.2 MB | ||
| 5. Providing access to external data through LangChain Indexes.mp4 | 12.9 MB | ||
| 5. Variational Auto Encoders and latent space.mp4 | 21 MB | ||
| 6. Challenges of Generative AI.mp4 | 19.5 MB | ||
| 6. Giving the ability to memorize ChatGPT through Memor LangChain.mp4 | 11.1 MB | ||
| 6. Koala model fundamentals.mp4 | 31.3 MB | ||
| 7. Providing access to tools through LangChain's Agents module.mp4 | 10.2 MB | ||
| Bonus Resources.txt | 409.6 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| ▲ 43 total files | |||
LangChain Guide: Next-Gen ChatGPT & LLMs apps with LangChain
https://CourseWikia.com
Published 7/2023
Created by Data Bootcamp
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 41 Lectures ( 3h 20m ) | Size: 1.23 GB
From Zero to Hero. Build Real-World Next-Gen LLM App with LangChain, open-source LLMs, Hugging Face, FAISS and Pinecone
What you'll learn
Foundations of Language Models
Generative AI
Tool-box of Language Models (LLM) and NLP
Open-source Large Language Models (LLMs)
How to supercharge LLMs with LangChain
Training ChatGPT with a personalized knowledge base with LangChain
A deep dive into vector databases: FAISS, PINECONE, etc
Understanding multi-step reasoning
Langchain and Agents in enhancing LLM capabilities
Requirements
Python
| torrent name | size | uploader | age | seed | leech |
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| 1.9 GB | freecoursewb | 2 years | 2 | 2 | |
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Udemy - LangChain Unleashed - A Guide To Using Open Source LLM Models Posted by
freecoursewb in Other
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251 MB | freecoursewb | 2 years | 0 | 0 |
| 1.2 GB | tutsnode | 3 years | 0 | 0 |
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