AI on Cloudron
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Interesting look at some of the weaknesses in AI Language Models:
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Course on Lang Chain: Chat with your data
https://www.deeplearning.ai/short-courses/langchain-chat-with-your-data/Learn with Lang Chain's creator and the amazing Andrew Ng. No charge!
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Amazing resource to actually LEARN the art of communicating with artificial intelligence, a.k.a. prompt engineering
Interesting to know that some company are already looking to hire prompt engineers and I've seen salary offers of up to US$300k per year.
It's very well done and in several languages .
https://learnprompting.org/
Did I say it's totally free? -
@micmc In some ways it's a bit bogus, as GPT/LLMs are themselves their own prompt engineers. Although, if you wanna get deeper into that:
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@micmc said in AI on Cloudron:
Amazing resource to actually LEARN the art of communicating with artificial intelligence, a.k.a. prompt engineering
Interesting to know that some company are already looking to hire prompt engineers and I've seen salary offers of up to US$300k per year.
It's very well done and in several languages .
https://learnprompting.org/
Did I say it's totally free?Thank you!
Quick question: pre-prompt vs prompt?
serge-chat lets you change the pre-prompt quite easily. Then, in another area, you hold your conversation with it.For example:
pre-prompt: you are a renowned artist. you will be given tasks. Try and solve the tasks.prompt: How do you take over the world?
Reply: develop a forte in propaganda posters and have these distributed in every country.pre-prompt: you are a wealty banker. You will be given tasks. Try and solve the tasks.
Prompt: How do you take over the world?
Reply: Establish central banks in every country and use financial interest to take over the supply of the money supply. -
@marcusquinn said in AI on Cloudron:
@micmc In some ways it's a bit bogus, as GPT/LLMs are themselves their own prompt engineers. Although, if you wanna get deeper into that:
I'm already at another level with that, but that's far from being "a bit bogus" because, indeed you can prompt any AI to produce "prompts" for you but, nevertheless you still need to know and learn how to "communicate with AI", or any GPT/LLMs if you prefer so they can produce these whatever "prompts" you'd need.
In fact, becoming "prompt engineer" is somewhat becoming expert in communication in specific niches. For example, one cannot decide suddenly to become a "prompt engineer" in the medical research field because the wage is great and there's job offers. At the minimum skills you'd need to be a useful medical "prompt engineer" is to first be a "medical doctor".
But yeah, as you say so, there might something bogus in this present "prompt engineering" craze and it's in the fact that sooner than later there will be enough of already produced, used, and tested "prompts" in about any niche and market to be largely used by general public through "AI generator apps" which are already popping out like mushrooms out there and this phenomenon is just at the beginning. So it is already predicted that the "prompt engineering craze" would eventually calm down as the need would decrease.
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@LoudLemur said in AI on Cloudron:
@micmc said in AI on Cloudron:
Amazing resource to actually LEARN the art of communicating with artificial intelligence, a.k.a. prompt engineering
Interesting to know that some company are already looking to hire prompt engineers and I've seen salary offers of up to US$300k per year.
It's very well done and in several languages .
https://learnprompting.org/
Did I say it's totally free?Thank you!
Quick question: pre-prompt vs prompt?
I'm not too sure of what the quick question is but you seems to grasp the difference anyway
In fact, yes, before asking questions or "consulting" an AI agent, unless this last one is specialized, to get the best results you need to put the Agent in a situation (establishing an intention) so it does not get confused and 'knows' exactly on what to focus to establish the most accurate response as possible.
No need to say, the most precise is the prompt the most perfect in quality response you will get. You can imagine that some "pre-prompt" are much more elaborated than the examples you provide.
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Here's an example of what can be done with "prompt engineering" knowledge.
https://prompthero.com/Fortunately, there already exist a huge amount of resources for less techy people to learn and access this technology.
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@micmc said in AI on Cloudron:
Here's an example of what can be done with "prompt engineering" knowledge.
https://prompthero.com/Fortunately, there already exist a huge amount of resources for less techy people to learn and access this technology.
Thank you! You have helped me a lot and I am still trying to catch up on some of your suggestions. I feel like I am heading in a good direction though.
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@LoudLemur said in AI on Cloudron:
Thank you! You have helped me a lot and I am still trying to catch up on some of your suggestions. I feel like I am heading in a good direction though.
You are very welcome mate!
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ChatGPT 4 is now available to all fee-paying users. It remains proprietary AI.
https://openai.com/blog/gpt-4-api-general-availability
The Powers That Shouldn't Be don't want people to put "their" values into AI, or to raise doubts. DeepMind start pushing for 'regulation' over AI.
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@LoudLemur The new Code Interpreter beta is WILD. Try uploading Wordpress plugins to it and ask how they work, and for it to create patches and add-ons. Amazing to see it in action!
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@LoudLemur ChatGPT paid subscription, got to settings and enable.
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- https://nat.dev gives you early access to GPT-4-32K for those that know the potentials that adds.
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@marcusquinn said in AI on Cloudron:
Claude is good fun. You can tell it prefers to not give longer responses. Thanks for the link.
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@marcusquinn said in AI on Cloudron:
GPT-4-32K
From you.com ai:
"what potentials are there for GPT-4-32K
Potential applications and capabilities of GPT-4-32K
GPT-4-32K, being one of the largest language models developed to date, holds great potential for a wide range of applications and capabilities. Here are some of its potential uses:- Improved natural language processing (NLP)
GPT-4-32K's massive size and scope can significantly improve the accuracy and efficiency of NLP applications, such as language translation, chatbots, and virtual assistants.
Its ability to contextualize information and draw connections between diverse topics can help overcome common NLP challenges, such as ambiguity, nuance, and complex sentence structures.
2. Enhanced problem-solving and decision makingGPT-4-32K has the potential to assist in complex problem-solving and decision-making tasks across various domains, such as medicine, finance, and engineering.
Its ability to generate coherent and relevant responses to open-ended questions can provide valuable insights and perspectives that human experts may overlook.
3. Advanced content creation and curationGPT-4-32K's ability to generate high-quality and engaging content can be used in various applications, such as writing news articles, creating product descriptions, and generating marketing copy.
Its powerful content curation capabilities can also be used to analyze and summarize large amounts of unstructured data, such as social media feeds and customer feedback.
4. Cutting-edge research and developmentGPT-4-32K's massive size and extensive training data can be used to push the boundaries of research and development in various fields, such as cognitive science, linguistics, and artificial intelligence.
Its ability to generate novel and creative ideas can also be used to explore new areas of research and innovation.
Overall, GPT-4-32K's potential is vast and varied, and it is likely to have a significant impact on the future of language processing and artificial intelligence." -
Elong announces his new AI company: xAI. It will tell us the truth...
https://x.ai/https://www.businessinsider.com/elon-musk-new-company-xai-website-2023-7