you want, you can create and install modules using GPU also. In this tutorial, we follow CPU instructions. Activate conda environment To activate the environment, use the below command: activate 2019-09-24 01:07:03.889046: I tensorflow/core/platform/cpu_feature_guard.cc:142] Your CPU supports instructions that this TensorFlow binary was not co mpiled to use: AVX2 323/323 [==============================] 2019-09-24 01:19:01.151247: I tensorflow/core/platform/cpu_feature_guard.cc:142] Your CPU supports instructions that this TensorFlow binary was not co mpiled to use: AVX2 25000/25000 [==============================]

资料来源：《 Language Models are Few-Shot Learners》 GPT的发展 39 资料来源：《Training language models to follow instructions with human feedback》论文 ◼ InstructGPT使用来自人类反馈的强化学习方案RLHF（reinforcement learning from human feedback）， 员，customer指GPT-3 API的用户） GPT的发展 40 ChatGPT核心技术优势 资料来源：《Training language models to follow instructions with human feedback》论文 ◼ InstructGPT与ChatGPT属于相同代际的模型，ChatGPT只是在InstructGPT的基础上增加了Chat属性，且开放了公众测试

precisions like b=8 and are well supported by the hardware technologies like the fixed-point SIMD instructions which allows data parallelism, the SSE instruction set in x86 architecture, and similar support weights. The primary driver for the performance improvement was the availability of fixed-point SIMD instructions in Intel's SSE4 instruction set which can parallelize Multiply-Accumulate (MAC) operations. 7

2018-12-19 02:00:58.943154: I tensorflow/core/platform/cpu_feature_guard.cc:141] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA Hello TensorFlow • Intel • Haswell

installs locally; no admin privileges required • It’s lightweight and fits within your disk quota • Instructions: • wget https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh • chmod u+x ./M