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@@ -6,6 +6,6 @@ Things to cover:
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- Simple theory of Q-learning, with a practical example using the a Taxi game.
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- Simple theory of Q-learning, with a practical example using the a Taxi game.
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- Simple thory of Proximal Policy Optimization, with a practical example using a Pong game.
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- Simple thory of Proximal Policy Optimization, with a practical example using a Pong game.
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- _OpenSource Web_ interfaces available for Stable Diffusion, Inference and Embeddings.
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- _OpenSource Web_ interfaces available for Stable Diffusion, Inference and Embeddings.
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-- A practical example on how to create and use _LLMs_ and _Embeddings_ using a _Pytho script_.
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+- A practical example on how to create and use _LLMs_ and _Embeddings_ using a _Python_ script.
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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.
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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.
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