NLP - Acadamic Learning Topics

 Natural Learning Processing

Videos Playlist

Part-1

➡️NLP phases:  Linkđź”— 

Lexical analysis, Syntactic analysis, Semantic analysis, Discourse Integration, Pragmatic Analysis.

➡️Noisy channel model: Wikipediađź”— : Framework used in spell checkers


➡️Concepts of Parts of Speech and Formal Grammar of Natural Grammar of English: Web Link

Part-2

➡️N-gram model: PPTYT video

➡️Language Models: YT video

➡️Neural Networks: PPT

Part-3

➡️POS tagging: YT Video (rule based, Transformation based, Probablistic based)

➡️Hidden Markov Model: YT video (N-gram: 2 Steps)


Part - 4 

➡️Parsing in NLP: PPT 

➡️Tree Bank: PPT

➡️CKY parsing: YT Video (Also probablistic CKY)


Part - 5 

➡️Vector Semantics: Web

➡️CBOW: GFG

➡️Skip-gram: Web

➡️Wordsense and WordNet: ChatGPT













Best Resources to learn Generative Ai

 

GENERATIVE AI RESOURCES

  1. Generative AI learning path by Google Cloud. A series of 10 courses on generative AI products and technologies, from the fundamentals of Large Language Models to how to create and deploy generative AI solutions on Google Cloud [Link].
  2. Generative AI short courses by DeepLearning.AI - Five short courses on generative AI including LangChain for LLM Application Development, How Diffusion Models Work and more. [Link].
  3. LLM Bootcamp: A series of free lectures by The full Stack on building and deploying LLM apps [Link].
  4. Building AI Products with OpenAI - a free course by CoRise in collaboration with OpenAI [Link].
  5. Free Course by Activeloop on LangChain & Vector Databases in Production [Link].
  6. Pinecone learning center - Lots of free guides as well as complete handbooks on LangChain, vector embeddings etc. by Pinecone [Link].
  7. Build AI Apps with ChatGPT, Dall-E and GPT-4  - a free course on Scrimba [Link].
  8. Gartner Experts Answer the Top Generative AI Questions for Your Enterprise - a report by Gartner [Link]
  9. GPT best practices: A guide by OpenAI that shares strategies and tactics for getting better results from GPTs [Link].
  10. OpenAI cookbook by OpenAI - Examples and guides for using the OpenAI API [Link].
  11. Prompt injection explained, with video, slides, and a transcript from a webinar organized by LangChain [Link].
  12. A detailed guide to Prompt Engineering by DAIR.AI [Link]
  13. What Are Transformer Models and How Do They Work. A tutorial by Cohere AI [Link]
  14. Learn Prompting: an open source course on prompt engineering[Link]

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Question 1: Reverse Words in a String III

  def reverseWords(s: str) -> str: words = s.split() return ' '.join(word[::-1] for word in words)