Learn Large Language Models (LLMs) with Python and LangChain | Udemy [Update 03/2025]
English | Size: 2.7 GB
Genre: eLearning[/center]
Understand the Fundamentals of Large Language Models (LLMs) like BERT, RoBERTa, GPT, LLAMA with Python, Google Colab
What you'll learn
large language models (LLMs) fundamentals
encoder-only transformer architectures (BERT, RoBERTa etc.)
decoder-only transformer architectures (GPT, LLaMA etc.)
transfer learning and fine-tuning
retrieval-augmented generation (RAG)
Unlock the power of Large Language Models (LLMs) and bring cutting-edge AI to your projects! This beginner-friendly yet comprehensive course takes you deep into the world of transformer-based models - from foundational architectures like BERT and RoBERTa, to generative giants like GPT and Meta's LLaMA.
But we don't stop there.
You'll also explore Retrieval-Augmented Generation (RAG) - one of the most powerful methods to enhance LLMs with real-time, context-aware information retrieval. Learn how RAG bridges the gap between static models and dynamic, knowledge-grounded generation - perfect for applications like chatbots, enterprise search, and AI assistants.
Whether you're a beginner Python developer or someone curious about how LLMs really work, this course will give you the theory, hands-on skills, and real-world insights to work confidently with modern AI tools.
What You'll Learn
Section 1 - Transformers
word embeddings
positional embeddings and encoding
self-attention mechanism
masking
multi-head architecture
how to train a transformer architecture
transformer architectures: GPT, BERT and LLaMA
Section 2 - Encoder-Only Architectures
BERT fundamentals
pre-training and fine-tuning the model
the [CLS] token
BERT and RoBERTa
sentiment analysis, text classification and question answering with BERT
Section 3 - Decoder-Only Architectures
GPT and LLaMA fundamentals
reinforcement learning from human feedback (RLHF)
fine-tuning decoder-only architectures
LoRA and QLoRA
fine-tuning models on custom dataset
Section 4 - Retrieval-Augmented Generation (RAG)
what is RAG?
semantic search and vector databases
LSH and HNSW algorithms
using RAG with PDF files
Section 5 - Prompt Engineering
prompt engineering fundamentals
zero-shot prompting
few-shot prompting
chain of thoughts (CoT)
prompt chaining methods
Join the course today and start your journey into the world of Large Language Models and Retrieval-Augmented Generation. Whether you're building smarter apps, enhancing your AI knowledge, or simply exploring the future of language technology - this course will give you the tools and confidence to level up.
Enroll now and start building with the AI models shaping the future. Let's get learning!
Who this course is for:
Beginner Python developers who are curious about generative AI and large language models (LLMs)
[align=center]
download скачать FROM RAPIDGATOR
https://rapidgator.net/file/3d55495096be167a3f60696ed48c5172/UD-LearnLargeLanguageModelsLLMswithPythonandLangChain2025-3.part01.rar.html https://rapidgator.net/file/85768b436d31159bd9875063911eae90/UD-LearnLargeLanguageModelsLLMswithPythonandLangChain2025-3.part02.rar.html https://rapidgator.net/file/6e9a48042c80c2275733653d18069451/UD-LearnLargeLanguageModelsLLMswithPythonandLangChain2025-3.part03.rar.html https://rapidgator.net/file/1b900ead45b7c20bfe2a7fd1f5354475/UD-LearnLargeLanguageModelsLLMswithPythonandLangChain2025-3.part04.rar.html https://rapidgator.net/file/82e7797b4028fd5f00526fdd820a7be4/UD-LearnLargeLanguageModelsLLMswithPythonandLangChain2025-3.part05.rar.html https://rapidgator.net/file/d9d8af714dc52203681b6866200c4927/UD-LearnLargeLanguageModelsLLMswithPythonandLangChain2025-3.part06.rar.html https://rapidgator.net/file/3533e9503e6059dfeec73cc0cf70db5b/UD-LearnLargeLanguageModelsLLMswithPythonandLangChain2025-3.part07.rar.html https://rapidgator.net/file/fd68fc0f3a711575752a93702f082fb7/UD-LearnLargeLanguageModelsLLMswithPythonandLangChain2025-3.part08.rar.html https://rapidgator.net/file/b168a25931b7567d15c8acc3cd410321/UD-LearnLargeLanguageModelsLLMswithPythonandLangChain2025-3.part09.rar.html
download скачать FROM TURBOBIT
https://trbt.cc/xswfrfc4etsc/UD-LearnLargeLanguageModelsLLMswithPythonandLangChain2025-3.part01.rar.html https://trbt.cc/xh3j8tlr20wt/UD-LearnLargeLanguageModelsLLMswithPythonandLangChain2025-3.part02.rar.html https://trbt.cc/oods1u3315sv/UD-LearnLargeLanguageModelsLLMswithPythonandLangChain2025-3.part03.rar.html https://trbt.cc/nab3d6bo5yep/UD-LearnLargeLanguageModelsLLMswithPythonandLangChain2025-3.part04.rar.html https://trbt.cc/q18fsnd02u35/UD-LearnLargeLanguageModelsLLMswithPythonandLangChain2025-3.part05.rar.html https://trbt.cc/ygxjuevllut4/UD-LearnLargeLanguageModelsLLMswithPythonandLangChain2025-3.part06.rar.html https://trbt.cc/h4c1e6lkm2s1/UD-LearnLargeLanguageModelsLLMswithPythonandLangChain2025-3.part07.rar.html https://trbt.cc/o79exrlop279/UD-LearnLargeLanguageModelsLLMswithPythonandLangChain2025-3.part08.rar.html https://trbt.cc/73rg7eytdhxw/UD-LearnLargeLanguageModelsLLMswithPythonandLangChain2025-3.part09.rar.html
If any links die or problem unrar, send request to
https://forms.gle/e557HbjJ5vatekDV9
- Подпись автора
www.prizrak.ws Аниме Форум. Софт, игры, фильмы, музыка, anime скачать бесплатно ^_^