* Added notes on "fine tuning large language models" - initial content

from a short course by Sharon Zhou with the same title.

deep-learning/20231002.Finetuning-LLMs.md

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+Finetuning Large Language Models
+================================
+
+
+"Finetuning Large Language Models"
+https://www.deeplearning.ai/short-courses/finetuning-large-language-models/
+https://learn.deeplearning.ai/finetuning-large-language-models/lesson/1/introduction
+Taught by Sharon Zhou
+
+Free course, registration required.
+
+From the course website:
+
+"Join our new short course, Finetuning Large Language Models! Learn
+from Sharon Zhou, Co-Founder and CEO of Lamini, and instructor for the
+GANs Specialization and How Diffusion Models Work.
+
+When you complete this course, you will be able to:
+
+  * Understand when to apply finetuning on LLMs
+  * Prepare your data for finetuning
+  * Train and evaluate an LLM on your data
+
+With finetuning, you're able to take your own data to train the model
+on it, and update the weights of the neural nets in the LLM, changing
+the model compared to other methods like prompt engineering and
+Retrieval Augmented Generation. Finetuning allows the model to learn
+style, form, and can update the model with new knowledge to improve
+results."
+
+
+