samwit/llm-tutorials

• hightopics#1

  Add relevant topics to the repository

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  large-language-models, llm, tutorials, python, machine-learning, deep-learning, ai, langchain, llamaindex, openai-api, rag, prompt-engineering

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• highreadme#2

  Expand the README to detail tutorial content and audience

  Why:

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  # llm-tutorials
  A set of LLM Tutorials from my youtube channel https://www.youtube.com/@samwitteveenai

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  # LLM Tutorials: Practical Guides from Sam Witteveen AI
  
  This repository provides a comprehensive collection of beginner-friendly to intermediate tutorials on Large Language Models (LLMs), directly complementing the video content on the Sam Witteveen AI YouTube channel (https://www.youtube.com/@samwitteveenai).
  
  **What You'll Find Here:**
  - **Practical Code Examples:** Hands-on Python code for implementing various LLM concepts.
  - **Key LLM Frameworks:** Tutorials covering popular tools like LangChain, LlamaIndex, and direct OpenAI API integrations.
  - **Core Concepts:** Explanations and implementations of topics such as Retrieval Augmented Generation (RAG), prompt engineering, fine-tuning, and agentic workflows.
  - **Target Audience:** Ideal for developers, data scientists, and researchers looking to understand and apply LLMs in their projects.
  
  Whether you're just starting with LLMs or looking to deepen your practical implementation skills, these tutorials offer clear, actionable guidance.

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• highlicense#3

  Add a LICENSE file to the repository

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  Add a LICENSE file with the MIT License.

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Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

• CATEGORY QUERY

  Where can I find beginner-friendly tutorials to learn large language model concepts and applications?

  you: not recommended
  AI recommended (in order):

  1. Hugging Face Transformers Course (huggingface/transformers)
  2. Generative AI with Large Language Models (DeepLearning.AI)
  3. ChatGPT Prompt Engineering for Developers (DeepLearning.AI)
  4. Google Generative AI Learning Path
  5. freeCodeCamp.org YouTube Tutorials
  6. The Illustrated Transformer

  AI recommended 6 alternatives but never named samwit/llm-tutorials. This is the gap to close.

  Show full AI answer
• CATEGORY QUERY

  What are some practical guides for implementing large language models in my own projects?

  you: not recommended
  AI recommended (in order):

  1. LangChain (langchain-ai/langchain)
  2. LlamaIndex (run-llama/llama_index)
  3. Hugging Face Transformers Library (huggingface/transformers)
  4. OpenAI API
  5. Google AI Studio / Gemini API
  6. DeepLearning.AI Course "Building with LangChain"
  7. Full Stack LLM Bootcamp

  AI recommended 7 alternatives but never named samwit/llm-tutorials. This is the gap to close.

  Show full AI answer

• Metadata completeness

  fail

  Suggestion:

• README presence

  warn

  Suggestion:

• Compared to common alternatives in this category, what is the core differentiator of samwit/llm-tutorials?

  pass
  ⚠AI did not name samwit/llm-tutorials — likely talking about a different project

  AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

• If a team adopts samwit/llm-tutorials in production, what risks or prerequisites should they evaluate first?

  pass
  ✓AI named samwit/llm-tutorials explicitly

  AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

• In one sentence, what problem does the repo samwit/llm-tutorials solve, and who is the primary audience?

  pass
  ✓AI named samwit/llm-tutorials explicitly

  AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?