User contributions for Elegant angel
5 March 2023
- 19:0619:06, 5 March 2023 diff hist +348 Prompt engineering No edit summary
4 March 2023
- 22:5922:59, 4 March 2023 diff hist +141 ChatGPT Guides No edit summary
- 22:5922:59, 4 March 2023 diff hist −73 Guides No edit summary
- 22:5822:58, 4 March 2023 diff hist +2,666 N Fine-tune ChatGPT with Perplexity, Burstiness, Professionalism, Randomness and Sentimentality Guide Created page with "{{see also|Guides|ChatGPT Guides|Prompt Engineering Guides}} In order to generate a text response, please adhere to the following parameters. Please note that each parameter is set on a scale from 1 to 10, where a higher value represents more of the specified attribute. Please ensure that the output includes what each parameter is set at in a bulleted list format prior to the actual response. Perplexity: This parameter measures the complexity of the text. Higher val..." current
- 22:5722:57, 4 March 2023 diff hist +104 ChatGPT Guides No edit summary
2 March 2023
- 20:2320:23, 2 March 2023 diff hist +120 Improving Language Understanding by Generative Pre-Training (GPT) No edit summary current
- 20:2220:22, 2 March 2023 diff hist −3 Improving Language Understanding by Generative Pre-Training (GPT) No edit summary
- 19:1019:10, 2 March 2023 diff hist +12 Papers No edit summary
- 19:0119:01, 2 March 2023 diff hist +21 N Natural language input Redirected page to Prompts Tag: New redirect
- 19:0119:01, 2 March 2023 diff hist +28 GPT-3 No edit summary
- 19:0019:00, 2 March 2023 diff hist +17 N GPT models Redirected page to GPT current Tag: New redirect
- 18:5818:58, 2 March 2023 diff hist +268 Papers No edit summary
- 18:5618:56, 2 March 2023 diff hist +75 GPT-2 No edit summary current
- 18:5518:55, 2 March 2023 diff hist +83 GPT-1 No edit summary current
- 18:5418:54, 2 March 2023 diff hist +20 N Paper Redirected page to Papers current Tag: New redirect
- 18:5318:53, 2 March 2023 diff hist +546 OpenAI →Applications
- 18:4418:44, 2 March 2023 diff hist +79 N Improving Language Understanding by Generative Pre-Training Redirected page to Improving Language Understanding by Generative Pre-Training (GPT) current Tag: New redirect
- 18:3218:32, 2 March 2023 diff hist +140 GPT No edit summary
- 18:3118:31, 2 March 2023 diff hist +34 Artificial intelligence terms No edit summary
- 18:2918:29, 2 March 2023 diff hist +120 GPT-2 No edit summary
- 18:2818:28, 2 March 2023 diff hist +63 GPT-2 No edit summary
- 18:2118:21, 2 March 2023 diff hist +1,180 N GPT-2 Created page with "{{Needs Expansion}} GPT-2 is the 2nd GPT model released by OpenAI in February 2019. Although it is larger than its predecessor, GPT-1, it is very similar. The main difference is that GPT-2 can multitask. It is able to perform well on multiple tasks without being trained on any examples. GPT-2 demonstrated that language model could better comprehend natural language and perform better on more tasks when it is trained on a larger d..."
- 17:5717:57, 2 March 2023 diff hist +20 GPT-1 No edit summary
- 17:5717:57, 2 March 2023 diff hist +34 GPT-1 No edit summary
- 17:5617:56, 2 March 2023 diff hist 0 GPT-1 No edit summary
- 17:5617:56, 2 March 2023 diff hist +20 GPT-1 No edit summary
- 17:5617:56, 2 March 2023 diff hist +57 N GPT Created page with "GPT-1 GPT-2 GPT-3 ChatGPT GPT-3.5"
- 17:5517:55, 2 March 2023 diff hist +1,506 N GPT-1 Created page with "OpenAI released GPT-1 in June 2018. The developers found that combining the transformer architecture and unsupervised pertaining produced amazing results. GPT-1, according to the developers, was tailored for specific tasks in order to "strongly understand natural language." GPT-1 was an important stepping stone toward a language model that possesses general language-based abilitiess. It showed that language models can be efficiently pre-tra..."
- 17:3717:37, 2 March 2023 diff hist +303 Data-centric AI (DCAI) →Reasons for Data-centric AI current
- 17:3417:34, 2 March 2023 diff hist −29 Data-centric AI (DCAI) No edit summary
28 February 2023
- 16:5816:58, 28 February 2023 diff hist +42 N Data-centric AI Redirected page to Data-centric AI (DCAI) current Tag: New redirect
- 16:5716:57, 28 February 2023 diff hist +42 N DCAI Redirected page to Data-centric AI (DCAI) current Tag: New redirect
- 16:2516:25, 28 February 2023 diff hist −20 To-Do List No edit summary
- 15:5915:59, 28 February 2023 diff hist +122 Manipulation problem No edit summary current
- 15:4815:48, 28 February 2023 diff hist +34 N Manipulation Redirected page to Manipulation problem current Tag: New redirect
- 15:4715:47, 28 February 2023 diff hist −254 Manipulation problem No edit summary
- 15:4115:41, 28 February 2023 diff hist +32 Artificial intelligence terms No edit summary
- 15:4115:41, 28 February 2023 diff hist −72 To-Do List No edit summary
- 15:4015:40, 28 February 2023 diff hist +798 Manipulation problem No edit summary
- 15:3915:39, 28 February 2023 diff hist +5 Manipulation problem →Manipulation Problem and the Conversational AI
- 15:3915:39, 28 February 2023 diff hist +3,273 Manipulation problem No edit summary
- 15:3615:36, 28 February 2023 diff hist −9 Manipulation problem →Reward Hacking inseamna
- 15:3515:35, 28 February 2023 diff hist −264 Manipulation problem No edit summary
- 15:2915:29, 28 February 2023 diff hist +156 Manipulation problem No edit summary
- 15:2315:23, 28 February 2023 diff hist +78 Manipulation problem No edit summary
- 15:1915:19, 28 February 2023 diff hist +110 Manipulation problem No edit summary
- 15:1615:16, 28 February 2023 diff hist +3,840 N Manipulation problem Created page with "==Introduction== Artificial intelligence (AI) has revolutionized our lives, and we now use it for a wide range of applications, including image recognition, natural language processing, and machine learning. However, with every new technology comes a new set of challenges, and AI is no exception. One of the most significant challenges posed by AI is the "manipulation problem," which refers to the potential for AI systems to be used to target and manipulate individual use..."
- 11:2711:27, 28 February 2023 diff hist +742 N Confident Learning (CL) Created page with "==Introduction== Confident Learning (CL) is a subfield of supervised learning and weak-supervision aimed at characterizing label noise, finding label errors, learning with noisy labels and finding ontological issues. CL is based on the principles of pruning noisy data, counting to estimate noise and ranking examples to train with confidence. CL generalizes Angluin and Laird's classification noise process to directly estimate the joint distribution bet..." current
- 11:2411:24, 28 February 2023 diff hist +6 Papers No edit summary
- 11:2311:23, 28 February 2023 diff hist 0 Papers No edit summary