Gpt3 tools

You to inject a prefix into the GPT-3 output before it is inserted into the block, such as a [[gpt3]] tag or markdown formatting like > for a blockquote. This is useful for identifying blocks that were generated by GPT-3.Use the Inject Prefix options in the setting to set the prefix. You can add a space or \n newline to separate the prefix from the generated text.Inject TagInject Markdown BlockquoteOpenAI ExamplesSee here for example usages.About logseq-plugin-gpt3-openai allows users to generate human-like text using GPT-3 within the LogSeq editor.Write a GPT-3 command in a block, then run the open /gpt command via the slash or block menu. The plugin will generate a GPT-3 response using the OpenAI API and insert it below. It removes leading and trailing whitespace from the prompt.Getting Started You need to get an OpenAI API Key here and add the key in the plugin settings.After the free welcome credit expires you will need to provide a credit card to OpenAI.Note that having a paid ChatGPT account is not the same as having a paid account for OpenAI's API.The default model is gpt-3.5-turbo but you can change it to text-davinci-003 for GPT-3 or gpt-4 (if you have access)in the plugin settings under openAICompletionEngine. See the OpenAI docs for available models.Make sure you read OpenAI's usage guidelines and avoid generating certain types of content.Download the plugin in the Logseq marketplace by searching for gpt3 or openai.⚠️ Warning ⚠️GPT-3 has limitations. It sometimes produces output that is subtly wrong or

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Logseq-plugin-gpt3-openai A plugin for GPT-3 AI assisted note taking in Logseq. Uses OpenAI's ChatGPT API `gpt-3.5-turbo` model by default. Demo Follow me on Twitter for updates and examples of how I use this plugin: @bsunterUsagegptTo bring up the gpt popup, use the keyboard shortcut cmd+g, or select gpt from the block or slash menu.If you are currently in a block, the plugin will use the text in the block as input to the prompt.You can click and drag or shift+click to select multiple blocks to use as input to the prompt.If you are not in a block, the plugin won't add any additional input text to your prompt, and will append the results of the prompt to the bottom of the page.After selecting the prompt and generating a response, a preview of the response will be shown in the popup. You can click the Insert button or press the enter key to insert the response into the page.You can also click the Replace button to replace the selected block with the response.If you don't like the response, you can click the Regenerate button to generate a new response.Custom promptsAfter you open the popup, you can write any text you want to use as the prompt.For example you can write create flashcards based on the following text: and the plugin will generate flashcards for you to study:Built-in prompt templatesThere are a number of built in prompt templates that you can use to generate text. These are useful for generating outlines, summaries,

Be around 2.5 Petabytes (2,500 TB). While the popular notion is that we only use 10% of our brain, neurologists say this is actually a myth — and we actually use almost all of our brain, all the time. That’s a lot of storage.Apart from the storage, we will require a computer architecture on which the brain can be reconstructed in the form of computable code. And there is the issue of power for that architecture. Today, a computer with the same memory and processing power as the human brain would require around 1 gigawatt of power, or “basically a whole nuclear power station to run one computer that does what our ‘computer’ does with 20 watts,” according to Tom Bartol, a neuroscientist at the Salk Institute. In computing, artificial neural networks (ANN) have been created which are inspired by the biological neural networks. An ANN is based on a collection of connected units or nodes which loosely model the neurons in a biological brain. However, there are some major differences between an ANN and a human (or animal) brain:All artificial layers compute one by one, instead of being part of a network in which they work simultaneously.All simulated neurons are similar and are like simple boxes that can hold just one value, whereas the neuronal region of our brain appears as tree-like formations.Also, the human brain uses approximately 300 times more parameters (neurons combined with synapses) as compared to GPT3, the largest artificial neural network ever built. Step 3: Emulation in an external substrateOnce all the requirements are fulfilled and the artificial brain is ready, the “mind” can now be uploaded into a simulation, such as a virtual world, like the metaverse, or into a network of artificial brains connected to each other in a swarm (also called hive mind). Another transhumanist idea suggests that the mind can also be uploaded on a humanoid robot. Uploading into a physical robot would require robots that are a lot more functional than any that currently exist. However, if the consciousness is uploaded as a substrate-independent mind (SIM), and if the SIM

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Hi,I’m trying to develop a simple text completion app with GPT-3 for both English and Spanish. Although GPT-3 works perfectly in English, it sometimes answers in English to a prompt given in Spanish.For example, with the model text-davinci-002, with temperature=0.0, if given the prompt “Hola, ¿cómo estás?”, it answers with “I’m doing well, thank you. How are you?”.Thus, I would like to know if there is some kind of prompt engineering to make the model always answer in the input language (no matter what the prompt is) or maybe I should use Google Translate to translate from Spanish to English, submit the prompt in English and then translate the answer from English back to Spanish.Thanks for your help. Just add “answer in Spanish” Aeryan April 10, 2022, 12:41pm 3 Sometimes adding “answer in Spanish” helps but in other cases it doesn’t. A few examples:Prompt: Answer in Spanish. Hola, ¿cómo estás?Completion: Hi, how are you?. ¿Cómo estás?. \n I’m good, thank you. ¡Estoy bien, gracias!.Prompt: Answer in Spanish. Escribe una historia.Completion: Once upon a time, there was a beautiful princess who lived in a faraway kingdom.As you can see, it is still answering in English to spanish prompts. When I change Answer in Spanish for Responde en español, it sometimes works and other times doesn’t. For example, it now answers the second example in Spanish but the first one still in English.By the way, I’m using the text-davinci-002 engine (the most powerful one) with temperature=0. Why do you have the temperature set to 0? That’s likely your problem. The vast majority of what GPT3 was trained on was english, therefore english tokens are the most likely response. Make sure you set P to 1.0 as well. Aeryan April 10, 2022, 1:01pm 5 I have now tried different temperature values and, as you said, it helps. With a temperature of 0.8 and adding the text Responde en español before each prompt, it now answers in Spanish most of the time.However, in approximately 10% of the cases, it still introduces English text.Example:Prompt: Responde en español. Escribe una historia.Completion: Mi abuela siempre me cuenta historias interesantes. One day, my grandmother told me a story about a young woman who lived in a small village.I am unsure whether this is the best approach to produce non-english text or maybe I should simply query GPT-3 in English and use Google Translate (or any other service) to translate from English to the desired output language. Aeryan April 10, 2022, 1:06pm 6 With an even higher temperature of 0.95 it works even better. However, it seems that no matter how high I set the temperature, it still occasionally answers in English to Spanish. You might try a few-shot