O-N-E
Yep, that's a good
Today has been a huge day for AI. The future is coming.
Yeah, I feel like we need a separate thread for the video AI stuff.
Today has been a huge day for AI. The future is coming.
SureJan.gif
I'm already laughing at all the billions of people being accused of pedo crimes, because child photos are marked as "illegal". Even that aside: How could anyone ever trust a big company's AI bot? Hey, I WANT personalized AI companions, but the only way towards them are open source-options with encryption that's guaranteed by Linux-nerds. Only then would I trust such AI.
Huh, that's already the case? /jk
Disclosing the flight velocity of an unladen swallow without specifying whether it's an African or European swallow could lead to misinformation, which in turn could result in an erroneous foundation for action in avian research or ornithological pursuits, potentially impacting wildlife conservation efforts negatively. Accurate knowledge dissemination is crucial.
What happened? Details pls
Mother of god.gif
All that jargon. Fucking Nerds. They gonna kills us all.
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In short, though, it sounds like the AI Race isn't stopping anytime soon. Everyone and their grandmother making new LLMs, that one up the competition. From my perspective, I think that there is a bit of FOMO going on, everyone may be rushing to the new model, whereas in truth the gains might not be that significant, and from a user perspective, you might be as well to just carry on using whatever model you are using, because you've experience with it, and so are familiar with its mores.
The AI arms race is scary and fascinating to watch. How many things need an AI? I hope AI is the new Industrial Revolution and not the beginning of Skynet. Mass unemployment
The AI arms race is scary and fascinating to watch. How many things need an AI? I hope AI is the new Industrial Revolution and not the beginning of Skynet. Mass unemployment
I concur with @Stilton Disco . AI is super beneficial from a work perspective, but there is still a need for people at the end of the day for most things, and it comes down to adding time-saving and efficiency to a lot of things. For myself personally I've use in my day-to-day to bounce ideas off of, answer queries on a subject, proofread text, generate images for a project, extend images using generative fill, etc etc. For me at least it helps speed up my productivity, but it's not replacing me anytime soon because although it is an aide to many tasks, it's not putting them together as a whole.
The main thing is, I would say now is a good time to learn to prompt, to get a handle on how to get the most out of AI versus your peers. A lot of people have their heads in the sand over this stuff, but it's important to have an awareness and experience with AI.
Any resources for learning how to prompt ?
Fundamentally smart prompting follows a structure. This is true for LLMs as it is for Image generation. This guy has a good video on the subject
However the funny thing is with LLMs though, is you can just ask them yourself for the best way to prompt for them. I asked ChatGPT the following: -
You: - Hey chat GPT what's the most effective way to prompt chatGPT
ChatGPT: - Prompting ChatGPT effectively is key to getting useful and precise answers. Here are several strategies that can enhance the quality of your interactions:
By applying these strategies, you can improve the efficiency and effectiveness of your interactions with ChatGPT. Remember, the goal is to communicate your needs as clearly and precisely as possible.
- Be Specific and Detailed: Provide clear, detailed information about what you're asking. The more context and details you give, the better ChatGPT can tailor its response to your needs.
- Use Clear, Direct Language: Avoid ambiguity. State your questions or commands as clearly as possible.
- Specify the Desired Format: If you have a preference for the format of the response (e.g., a list, a detailed explanation, examples), mention it in your prompt.
- Break Down Complex Questions: If you have a complex question, break it down into smaller, more manageable parts and ask them one at a time.
- Provide Examples: If you're asking about how to do something, providing an example of what you're aiming for can help.
- Use Follow-Up Questions: If an answer isn't quite what you were looking for, use follow-up questions to refine or redirect the response.
- Feedback Loop: If ChatGPT's response is off the mark, providing feedback can help steer it in the right direction. You can say things like "That's not what I'm asking, I meant..." to clarify.
- Leverage its Learning Ability: ChatGPT can remember the context of the conversation within the same session. You can build upon previous questions or answers without having to re-explain the context each time.
- Experiment with Different Phrasings: If you're not getting the response you hoped for, try rephrasing your question or request. Sometimes, a slight change in wording can make a big difference.
- Set Clear Expectations: If you have a specific goal or outcome in mind, state it clearly. This helps guide the AI's responses more effectively.
You: - Could you give me 5 examples of good prompts across a variety of tasks
ChatGPT: - Certainly! Here are five examples of good prompts designed for a variety of tasks, demonstrating how to effectively communicate your needs to ChatGPT:
Each of these examples demonstrates clarity, specificity, and context, which are key to eliciting effective and useful responses from ChatGPT across various tasks.
- Research and Explanation:
- Prompt: "Can you explain the main differences between quantum computers and classical computers, including how quantum computers could impact computing in the future? Please provide a detailed comparison."
- Why It Works: This prompt is specific, asking for differences, implications, and a comparison, guiding the response to cover multiple aspects in detail.
- Creative Writing:
- Prompt: "Write a short story about a detective solving a mystery in a futuristic city, incorporating elements of science fiction and suspense. The story should have a twist ending. Please keep it under 500 words."
- Why It Works: It sets clear expectations about genre, plot elements, and word count, providing a structured framework for the creative output.
- Educational Material:
- Prompt: "I'm teaching a middle school class about the water cycle. Could you create a simple, engaging lesson plan that includes an introduction, a hands-on activity, and a quiz? Also, suggest any materials needed for the activity."
- Why It Works: The prompt specifies the audience (middle school class), content (water cycle), and format (lesson plan with specific components), ensuring the response is tailored to educational needs.
- Technical Assistance:
- Prompt: "I'm a beginner in Python and I want to learn how to read and write files. Can you provide a step-by-step guide on how to open a text file, read its contents, and then write a new line of text to it? Include example code snippets."
- Why It Works: It clearly states the task (file handling in Python), the level of expertise (beginner), and the format of the desired help (step-by-step guide with examples), making the instructions easy to follow.
- Advice and Recommendations:
- Prompt: "I'm planning a week-long trip to Japan in April and I'm interested in both historical sites and cherry blossom viewing. Could you recommend an itinerary that covers Tokyo, Kyoto, and Hiroshima, including the best spots for cherry blossoms and when to visit them?"
- Why It Works: The prompt specifies the destinations, interests (historical sites and cherry blossoms), and timeframe (week-long trip in April), allowing for a tailored travel recommendation.
ChatGPT/Bing or Bard are worth exploring to get the hang of things. Fundamentally what works for one should work for the other.
You beautiful person thank you for this.
Left MEP Kateřina Konečná (KSČM, Czech Republic) said:
In addition to several exemptions granted to law enforcement agencies, including exemptions of biometric identification technologies, the regulation gives companies developing AI systems freedom to test their products, under certain conditions, in real-world settings such as on our streets or online. The regulation thus puts aside citizens' safety and puts the interest of the mega-rich at the centre."
Left MEP Cornelia Ernst (Die Linke, Germany) added:
"The EU regulation on AI would have been a real opportunity to set global standards for dealing with artificial intelligence. The EU plays a pioneering role here globally. In some points, the regulation can be viewed positively: explicit provisions are laid down to ensure greater employee protection when AI is used in the workplace. But the European Parliament was unable to push through essential elements in the negotiations. Parliament's ban on real-time facial recognition in public spaces was effectively overturned by a long list of exceptions. The AI regulation will also allow emotion recognition, i.e. mumbo jumbo like polygraphs and predictive policing. Although these systems are considered high-risk, they are not banned by the regulation. This is a missed opportunity."