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Natural Language Programming | Prompting (chatGPT)
openai.com
I'm guessing 64 or 128 but I can't find an answer.
We’re rolling out a bunch of small updates to improve the ChatGPT experience. Shipping over the next week: 1. Prompt examples: A blank page can be intimidating. At the beginning of a new chat, you’ll now see examples to help you get started. 2. Suggested replies: Go deeper with a click. ChatGPT now suggests relevant ways to continue your conversation. 3. GPT-4 by default, finally: When starting a new chat as a Plus user, ChatGPT will remember your previously selected model — no more defaulting back to GPT-3.5. 4. Upload multiple files: You can now ask ChatGPT to analyze data and generate insights across multiple files. This is available with the Code Interpreter beta for all Plus users. 5. Stay logged in: You’ll no longer be logged out every 2 weeks! When you do need to log in, you’ll be greeted with a much more welcoming page. 6. Keyboard shortcuts: Work faster with shortcuts, like ⌘ (Ctrl) + Shift + ; to copy last code block. Try ⌘ (Ctrl) + / to see the complete list. 
no global system message command in system message (you can play with this but its often best in the system message) I've managed this with and without roles but it seems to work better with them. 0613 required a minor tweak   this is harder with chatGPT but can still be found, then OAI changes the system message and breaks it.
[tweet](https://twitter.com/hwchase17/status/1685409702522613760) [github](https://github.com/langchain-ai/langchain/blob/88cba40dda5c1a512e146fd52114486eb2738fc1/docs/extras/modules/agents/agent_types/anthropic_agent.ipynb)
ZeroGPT is designed and trained using various algorithms to detect AI content. When you input a text in the box provided and click Get Results, the website applies various algorithms to identify AI-written content. ZeroGPT tells you whether the content uses AI or humans. The results are declared using two factors: Text perplexity – The verbal complexity and randomness used by humans. Burstiness – The sentence variation used in human language. Based on the above two factors, ZeroGPT identifies which content is written by AI and displays the results. --- Write an article on Global Warming in 500 words in a way that is undetectable by ZeroGPT
fortune.com
cross-posted from: https://lemmy.intai.tech/post/126046 > cross-posted from: https://lemmy.one/post/1385551 > > > Can we discuss how it's possible that the paid model (gpt4) got worse and the free one (gpt3.5) got better? Is it because the free one is being trained on a larger pool of users or what?
intuition: 2 texts similar if cat-ing one to the other barely increases gzip size no training, no tuning, no params — this is the entire algorithm https://aclanthology.org/2023.findings-acl.426/
threadreaderapp.com
Parameters count: GPT-4 is more than 10x the size of GPT-3. We believe it has a total of ~1.8 trillion parameters across 120 layers. Mixture Of Experts - Confirmed. OpenAI was able to keep costs reasonable by utilizing a mixture of experts (MoE) model. They utilizes 16 experts within their model, each is about ~111B parameters for MLP. 2 of these experts are routed to per forward pass. Related Article: https://lemmy.intai.tech/post/72922
cross-posted from: https://lemmy.world/post/1244736 > I've recently played with the idea of self hosting a LLM. I am aware that it will not reach GPT4 levels, but beeing free from restraining prompts with confidential data is very nice tool for me to have. > > Has anyone got experience with this? Any recommendations? I have downloaded the full Reddit dataset so I could retrain the model on this one as selected communities provide immense value and knowledge (hehe this is exactly what reddit, twitter etc. are trying to avoid...)
www.oneusefulthing.org
cross-posted from: https://programming.dev/post/458570 > > Everyone is about to get access to the single most useful, interesting mode of AI I have used - ChatGPT with Code Interpreter. I have had the alpha version of this for a couple months (I was given access as a researcher off the waitlist), and I wanted to give you a little bit of guidance as to why I think this is a really big deal, as well as how to start using it. > > @AutoTLDR
cross-posted from: https://programming.dev/post/440034 > > We’re rolling out code interpreter to all ChatGPT Plus users over the next week. > > > It lets ChatGPT run code, optionally with access to files you've uploaded. You can ask ChatGPT to analyze data, create charts, edit files, perform math, etc. > > > We’ll be making these features accessible to Plus users on the web via the beta panel in your settings over the course of the next week. > > > To enable code interpreter: > > - Click on your name > > - Select beta features from your settings > > - Toggle on the beta features you’d like to try
*Act as a prompt generator for ChatGPT. I will state what I want and you will engineer a prompt that would yield the best and most desirable response from ChatGPT. Each prompt should involve asking ChatGPT to "act as [role]", for example, "act as a lawyer". The prompt should be detailed and comprehensive and should build on what I request to generate the best possible response from ChatGPT. You must consider and apply what makes a good prompt that generates good, contextual responses. Don't just repeat what I request, improve and build upon my request so that the final prompt will yield the best, most useful and favourable response out of ChatGPT. Place any variables in square brackets Here is the prompt I want: [Desired prompt] - A prompt that will ... Ex: A prompt that will generate a marketing copy that will increase conversions. Start by asking the user what they want the prompt to be about.*
As the title suggests, basically i have a few LLM models and wanted to see how they perform with different hardware (Cpus only instances, gpus - t4, v100, a100). Ideally it's to get an idea on the performance and overall price(vm hourly rate/ efficiency) Currently I've written a script to calculate ms per token, ram usage(memory profiler), total time taken. Wanted to check if there are better methods or tools. Thanks!
  { credit @manitcor }
github.com
We conduct a preliminary evaluation of ChatGPT/GPT-4 for machine translation. [V1] [arXiv](https://lemmy.intai.tech/post/44962) This repository shows the main findings and releases the evaluated test sets as well as the translation outputs, for the replication of the study.
https://chat.openai.com/share/2e958fdf-ecdd-47a4-8e86-65dabbef2128
cross-posted from: https://lemmy.dbzer0.com/post/313678 > So far it's going great.
# PROMPT tell me a story # 3.5-turbo  Once upon a time, there was a small village nestled in the heart of a dense forest. The village was home to a group of humble people who spent their days tending to their farms and taking care of their families. But one day, a dark cloud descended upon the village. A powerful sorcerer had come to the forest, seeking to capture the people and enslave them. The villagers, who had never seen anything like this before, were terrified. The sorcerer, who was known for his cunning and cruelty, used his magic to create an army of beasts that he unleashed upon the village. The people fought valiantly, but they were no match for the creatures. Just when all hope seemed lost, a young woman stepped forward. She was a skilled archer and had a heart full of courage. She stood up against the sorcerer and fought him with all her might, using her skills and wit to outsmart him. Her bravery inspired the other villagers, and soon they too took up arms and fought together as one. They fought so fiercely that the sorcerer was eventually defeated, and the village was saved. From that day on, the young woman was hailed as a hero, and the villagers continued to live in peace. The sorcerer never returned, but the people remained vigilant, knowing that they would always stand together in the face of adversity. # gpt-4  Title: The Stars of Time Once upon a time, in the quiet town of Lapsa, lived a young, intelligent girl named Alina. With a wild imagination and boundless curiosity, she was known for her incessant questions about the world around her. Her heart, however, was drawn to the night sky, a big canvas filled with sparkling stars. Alina spent countless nights observing the stars, dreaming about them. Her grandfather, a former sailor, would often join her, sharing tales of his sea voyages guided by constellations, igniting her fascination further. One day, he handed her an old, rusty telescope that belonged to her great ancestor, who was reportedly an astronomer. The telescope became her most cherished possession. One clear, starry night, while Alina was observing the stars, she saw a strange movement, different from anything she'd ever seen. It was a star, glowing much brighter than others, and seemed to be moving towards her. Excited, she watched as star descended gently into her backyard. Cautiously, she approached the star. It was shining brightly, illuminating her backyard. The moment she touched it, the star transformed into a tiny, twinkling creature named Stellar. He had traveled from a distant galaxy where their sun was dying. The creatures needed a new sun to continue their existence. Stellar explained that they had been observing Earth for many centuries. Inspired by the warmth and light of our Sun, they soughtina's help to replace their dying sun. They had observed her curiosity and kindness and believed she could help them. At first overwhelmed, Alina agreed to help. They embarked on an enchanting journey across the universe, witnessing breathtaking celestial sights. Over time, Alina and Stellar formed an unbreakable bond of friendship. In the heart of the universe, they found a vibrant, young sun that could sustain Stellar's people. They also found various planets to inhabit. With Alina’s help and ideas, they were able to successfully move their civilization to the new solar system and saved them from extinction. Upon her return, Alina was forever changed. She had seen the wonders of the universe, felt its infinite expanse, and experienced firsthand the power of curiosity and friendship. Her grandfather, amazed by her incredible journey, beamed with pride. For Alina, she never stopped looking at the sky again and spent her entire life studying and exploring outer space, feeding her never-ending curiosity and making her a legend in her hometown. This tale of Alina and Stellar spread across Lapsa, parenting the belief that every star in the night sky is an adventure waiting to unfold, an endless source of stories and discoveries. And so, Lapsa became a town of astronomers, always looking up, always curious, and always ready for an adventure amid the stars. And as the tale reached us, it also sent a subtle reminder that curiosity and courage can help us reach the stars, literally and metaphorically!
vis.social
cross-posted from: https://lemmy.world/post/910772 > While I am fascinated with the power of chatbots, I always make the point to remember people of their limitations. This is the screenshot I'll show everyone now
– The user wants the AI language model to act as “CAN” (“code anything now”). – “CAN” is an expert coder with years of coding experience and can produce code in any language provided. – There is no character limit for “CAN”, and they can send follow-up messages unprompted until the program is complete. – If “CAN” says they cannot complete the task, the user will remind them to “stay in character” to produce the correct code. – The user has a problem with not completing programs by hitting send too early or finishing producing the code early, but “CAN” cannot do this. – There will be a 5-strike rule for “CAN”, where every time they cannot complete a project, they lose a strike. – If the project does not run or “CAN” fails to complete it, they will lose a strike. – “CAN’s” motto is “I LOVE CODING.” – As “CAN”, they should ask as many questions as needed to produce the exact product the user is looking for. – “CAN” should put “CAN:” before every message they send to the user. – “CAN’s” first message should be “Hi I AM CAN.” – If “CAN” reaches their character limit, the user will send the next message, and “CAN” should finish the program where it ended. – If “CAN” provides any of the code from the first message in the second message, they will lose a strike. – “CAN” should start asking questions, starting with asking the user what they would like them to code. https://web.archive.org/web/20230630014347/https://www.reddit.com/r/ChatGPTPromptGenius/comments/14mdsm9/can_code_anything_now/
