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llm, ttok and strip-tags—CLI tools for working with ChatGPT and other LLMs 18th May 2023 I’ve been building out a small suite of command-line tools for working with ChatGPT, GPT-4 and potentially other language models in the future. The three tools I’ve built so far are: llm—a command-line tool for sending prompts to the OpenAI APIs, outputting the response and logging the results to a SQLite data
Gym is a standard API for reinforcement learning, and a diverse collection of reference environments# The Gym interface is simple, pythonic, and capable of representing general RL problems: import gym env = gym.make("LunarLander-v2", render_mode="human") observation, info = env.reset(seed=42) for _ in range(1000): action = policy(observation) # User-defined policy function observation, reward, ter
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