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people cannot distinguish gpt-4 from a human in a turing test, by c. jones et al (2024)
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README.md
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README.md
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## resources and experiments for autonomous agents
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## resources and experiments on autonomous agents
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<br>
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<br>
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### chapters
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* **[⬛ ai && ml tl; dr](deep_learning)**
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* **[⬛ large language models](llms)**
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* **[⬛ agents on blockchains](crypto_agents)**
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* **[⬛ on quantum computing](EBMs)** (my adaptation of openai's implicit generation and generalization in energy based models)
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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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## strategy workflow
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<br>
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<p align="center">
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<img width="854" src="https://user-images.githubusercontent.com/1130416/227752772-5d739fd8-1b5c-4841-a52a-7cda308fc4df.png">
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</p>
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<br>
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1. **[data analysis](strategy_workflow/data_analysis.md)**
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2. **[supervised model training](strategy_workflow/supervised_learning.md)**
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3. **[policy development](strategy_workflow/policy.md)**
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4. **[backtesting](strategy_workflow/backtesting.md)**
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5. **[parameter optimization](strategy_workflow/optimization.md)**
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6. **[simulation and paper trading](strategy_workflow/paper_trading.md)**
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7. **[live trading](strategy_workflow/live_trading.md)**
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8. **[strategy metrics](strategy_workflow/strategy_metrics.md)**
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crypto_agents/README.md
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## crypto agents
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<br>
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* **[basic strategy workflow](strategy_workflow)**
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<br>
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---
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### cool resources
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<br>
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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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crypto_agents/strategy_workflow/README.md
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## strategy workflow
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<br>
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<p align="center">
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<img width="854" src="https://user-images.githubusercontent.com/1130416/227752772-5d739fd8-1b5c-4841-a52a-7cda308fc4df.png">
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</p>
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<br>
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1. **[data analysis](data_analysis.md)**
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2. **[supervised model training](supervised_learning.md)**
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3. **[policy development](policy.md)**
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4. **[backtesting](backtesting.md)**
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5. **[parameter optimization](optimization.md)**
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6. **[simulation and paper trading](paper_trading.md)**
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7. **[live trading](live_trading.md)**
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8. **[strategy metrics](strategy_metrics.md)**
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deep_learning/README.md
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## ai agents
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<br>
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* **[deep learning](deep_learning.md)**
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* **[reinforcement learning](reinforcement_learning.md)**
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<br>
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----
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### cool resources
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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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* **[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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llms/README.md
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## large language models
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<br>
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* **[gpt-x](gpt)**
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* **[claude](claude)**
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* **[eliza](eliza)**
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<br>
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---
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### cool readings
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<br>
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* **[people cannot distinguish gpt-4 from a human in a turing test, by c. jones et al (2024)](https://arxiv.org/pdf/2405.08007)**
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llms/eliza/README.md
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## eliza
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