GPT-NeoX supports evaluation on downstream tasks through the language model evaluation harness.To evaluate a trained model on the evaluation harness, simply run:python ./deepy.py eval.py -d configs your_configs.yml --eval_tasks task1 task2 ... taskn...
As models gain new skills, new benchmarks are being developed to assess them. GAIA, for example, tests AI models on real-world problem-solving. (Some of the answers are kept secret to avoid contamination.) NoCha (novel challenge), announced in June, is a “long context” benchmark consi...
We evaluate ChatGPT's performance on 21 benchmarks across time and find that previous evaluation results may change at new dates. Based on the colleted data, we build OpenChatLog, a search engine for LLM generated texts. Try our website (If your ip is in China). 2023/06/08: We ...
Pre-trained:These models have been pre-trained using a large data set which can be used when it is difficult to train a new model. Although a pre-trained model might not be perfect, it can save time and improve performance. Transformer:The transformer model, an artificial neural network cre...
模型安全(Model safety) Refusals 基础RLHF 和 InstructGPT 工作(Foundational RLHF and InstructGPT work) Flagship training runs 代码功能(Code capability) 评估& 分析部分的工作细分为: OpenAI Evals 库 模型等级评估基础设施(Model-graded evaluation infrastructure) ...
3.深度学习框架：了解并熟练使用深度学习框架，如TensorFlow或PyTorch，这是实际搭建、训练和优化大模型所...
hope to work together with others to build on its findings and create powerful and more trustworthy models going forward. To facilitate collaboration, we have made our benchmark code very extensible and easy to use: a single command is sufficient to run the complete evaluation on a ...
Genes for the same cell population are joined by comma (,), and gene lists for different cell populations are separated by the newline character (\n). GPT-4 or GPT-3.5 was then queried using the generated prompt message through OpenAI API, and the returned information was parsed and ...
Demographics play a significant role in shaping users’ acceptance of new products or technologies (Mustafa & Zhang, 2022). This study aims to investigate the moderating influence of various demographic factors on the model such as Gender and Age on hypotheses 1 to 9. The main area of research...
The findings of the study suggest new avenues for future research. The effectiveness of evaluation criteria for assessments incorporating ChatGPT-generated text needs to be investigated. Specifically, the appropriate level of ChatGPT-produced text that students may use in academic tasks or assessments ...