| 0 | 66.4 KB | ||
| 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 | ||
| TutsNode.net.txt | 102.4 B | ||
| [TGx]Downloaded from torrentgalaxy.to .txt | 614.4 B | ||
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Description
The Artificial Intelligence revolution is upon us, bringing a new wave of groundbreaking tools. One of these tools is LangChain, an innovative technology that helps AI professionals ramp up the capabilities of Language Models. In our LangChain course, we guide you to unleash the full potential of these tools, catapulting your AI skills to new heights.
This course is not just about the basics of Generative Artificial Intelligence and Natural Language Processing. It’s about using LangChain to supercharge the performance and efficiency of your Language Models. We’ll arm you with the skills and insights to tweak and tailor language models to your specific requirements, opening up a wider array of AI challenges and opportunities for you to tackle.
Imagine having the ability to train ChatGPT with your own custom knowledge base, and that’s just the start. We’ll delve into what vector databases are, get to grips with multi-step reasoning, and show you how LangChain can unlock new possibilities with your LLMs.
In this course, we’re going to cover:
Getting to know Language Models
The nuts and bolts of Generative AI
The tool-box of Language Models (LLM) and NLP
Working with 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
Understanding multi-step reasoning
The role of Langchain and Agents in enhancing LLM capabilities
So, dive into the captivating world of Language Models with LangChain. Extend the capabilities of your LLM models, develop language models that cater to your needs, and explore a whole new world of possibilities with LLMs through LangChain.
Who this course is for:
AI Enthusiasts keen to expand their understanding of Language Models and Generative AI.
Anyone interested in Large Language Models
Python Developers interested in integrating advanced AI techniques into their applications.
Data Scientists aiming to broaden their skill set in the field of Natural Language Processing.
Tech Professionals seeking to stay ahead in the rapidly evolving landscape of AI
Researchers in AI and Machine Learning looking for practical application of theoretical knowledge
Requirements
Python
Last Updated 7/2023
| torrent name | size | uploader | age | seed | leech |
|---|---|---|---|---|---|
| 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 | freecoursewb | 3 years | 0 | 0 |
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