Topics in AI, Topics in Data Science & Applications of NLP

Contents related to courses: Topics in AI, and Applied NLP:

Datacamp skill track: Developing Large Language Models

• https://www.datacamp.com/courses/introduction-to-deep-learning-with-pytorch (Week 1 Mid)

• https://www.datacamp.com/courses/intermediate-deep-learning-with-pytorch (Week 2 Mid)

• https://www.datacamp.com/courses/deep-learning-for-text-with-pytorch (Week 3 , 4 Mid)

• https://www.datacamp.com/courses/introduction-to-llms-in-python (Week 5-6 Final)

• Project: Analyzing car reviews using LLMs (Assignment - Final)

• https://app.datacamp.com/learn/code-alongs/fine-tuning-your-own-llama-2-model (Week 6)

• https://www.datacamp.com/blog/llmops-essentials-guide-to-operationalizing-large-language-models (Assignment-Final) 

Practical Deep Learning for Coders 

• https://course.fast.ai/Lessons/lesson1.html  (Final)

NLP Course by Hugging Face

• https://huggingface.co/learn/nlp-course/chapter0/1 (mid, Final)

Large Language Models, Generative AI related resources

Google's Gemini:

1.Get key https://aistudio.google.com/app/apikey (see below, 1st figure on the left)

2. Go to quick start https://ai.google.dev/gemini-api/docs/quickstart?lang=python and first explore highlighted links (see red colored arrows below, 2nd figure, in the center)

3.  In the start don't try to run on your local system rather run in Google Colab or Github, as pointed example (see red colored arrows below, 3rd figure, on the right side)