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LICENSE.md

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+Copyright 2023 Syavne.Net
+
+Permission to use, copy, modify, and/or distribute this software for any purpose with or without fee is hereby granted, provided that the above copyright notice and this permission notice appear in all copies.
+
+THE SOFTWARE IS PROVIDED "AS IS" AND THE AUTHOR DISCLAIMS ALL WARRANTIES WITH REGARD TO THIS SOFTWARE INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS. IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR ANY SPECIAL, DIRECT, INDIRECT, OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS, WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR PERFORMANCE OF THIS SOFTWARE.

README.md

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+# AI Session
+
+The objective is to give a very brief introduction to _AI_ training using games (mostly to talk about theory), present _OpenSource Web_ interfaces and create _LLM Embeddings_ to ask questions about given documents.
+
+Things to cover:
+- Simple theory of Q-learning, with a practical example using the a Taxi game.
+- Simple thory of Proximal Policy Optimization, with a practical example using a Pong game.
+- _OpenSource Web_ interfaces available for Stable Diffusion, Inference and Embeddings.
+- A practical example on how to create and use _LLMs_ and _Embeddings_ using a _Pytho script_.
+
+In no way should any of this be considered as a complete solution, the goal is just to provide enough elements for a start so all participants can grow from there.