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40 lines
1.3 KiB
Markdown
40 lines
1.3 KiB
Markdown
## resources and experiments for autonomous agents
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<br>
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### chapters
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<br>
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#### learnings
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* **[deep learning](agents/deep_learning.md)**
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* **[reinforcement learning](agents/reinforcement_learning.md)**
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* **[strategy workflow](agents/strategy_workflow)**
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#### quantum computing and machine learning
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* **[energy-based models](EBMs)**:
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* my adaptation of openai's implicit generation and generalization in energy based models
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#### large language models
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* **[gpt](GPT)**
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* **[claude](claude)**
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<br>
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----
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### cool resources
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<br>
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* **[cursor ai editor](https://www.cursor.com/)**
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* **[microsoft notes on ai agents](https://github.com/microsoft/generative-ai-for-beginners/tree/main/17-ai-agents)**
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* **[ritual.net, integrate ai models into protocols](https://ritual.net/)**
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* **[the promise and challenges of crypto + ai applications, by vub](https://vitalik.eth.limo/general/2024/01/30/cryptoai.html)**
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* **[on training defi agents with markov chains, by bt3gl](https://mirror.xyz/go-outside.eth/DKaWYobU7q3EvZw8x01J7uEmF_E8PfNN27j0VgxQhNQ)**
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* **[google's jax (composable transformations of numpy programs)](https://github.com/google/jax)**
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* **[machine learning engineering open book](https://github.com/stas00/ml-engineering)**
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* **[advances in financial machine learning](books/advances_in_financial_machine_learning.pdf)**
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