🚀 Massive AI Prompt Library It can sometimes be challenging to get the most out of AI chat without a carefully formulated prompt. Anthropic, the makers behind the Claude 3 series of models, have made this fantastic prompt library available. It is a massive prompt library with examples for everything from coding to generating trivia. Link: https://lnkd.in/eaviHmtG
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📚 Exciting resource for AI enthusiasts and developers! Just discovered Anthropic's Prompt Library: a goldmine of starting points for crafting effective prompts with Large Language Models. 🔑 Key features: - Curated collection of prompt templates - Covers various use cases and industries - Helps jumpstart your AI projects Whether you're new to prompt engineering or looking to refine your skills, this library is a must-bookmark. It's a good starting point for anyone looking to improve their AI interactions! Check it out: https://lnkd.in/e7DWXeKY #AI #PromptEngineering #MachineLearning #AnthropicAI
Library - Anthropic
docs.anthropic.com
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Want to level up your software skills? Here's a tip: Read the documentation! Documentation is often an underutilized resource, but it's a goldmine for learning and improving your understanding of tools and technologies. It's how I got really good at Rhino3D and many other programs. Speaking of documentation, if you're interested in enhancing your use of AI assistants like Claude, check out Anthropic's prompt library. It's a fantastic resource for optimizing your interactions with Cloude: https://lnkd.in/gPMk9t3P Remember, the key to mastering any tool is understanding it deeply. What's your favorite documentation resource? Share in the comments! #AI #ContinuousLearning
Library - Anthropic
docs.anthropic.com
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Everyone knows ChatGPT, but few have heard about Claude AI. Claude AI is a great chatbot from Anthropic, and its performance is amazing! In many scenarios, it surpasses ChatGPT in performance and accuracy. As with any chatbot, the quality of its answers varies with the prompt you use. Do you want to ask for an Excel formula? Create a recipe with items you have in your pantry? What about interpreting a dream you had the night before? Many examples like these can be found in this awesome prompt library: https://lnkd.in/e4pea3Qs
Library - Anthropic
docs.anthropic.com
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HOW'S YOUR PROMPT ENGINEERING? 👷♀️ Here's a hot take 🌶 But, if you are looking to level up your prompting, that 1000 prompt guide you downloaded from the LinkedIn random AI guru is NOT gonna get you there. To be fair, there are some great resources out there with very competent people teaching awesome strategies. But where you should START is the sources. Many of the larger AI companies have comprehensive documentation on the best way to prompt their language models, and in those documents there are gold nuggets. Anthropic is likely one of the BEST when it comes to prompting resources, as their documentation is superb. But that's actually NOT what I wanted to talk about in this post. Instead I want to tell everyone about Anthropic's prompt library. They've curated a library of copy/paste-able examples of prompts, and it is pretty awesome. It's a robust list of use-cases that, when you click on one, reveals both System and User prompts that you can copy and paste to test right away. They also share example outputs so you know what to expect. This is really a digital goldmine in my opinion. Get in this library here => https://lnkd.in/d89QE_v2 Cheers!
Library - Anthropic
docs.anthropic.com
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New Post: Anthropic aims to make the inner workings. https://lnkd.in/dsFjQMUq
Anthropic aims to make the inner workings.
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New Post: Anthropic aims to make the inner workings. https://lnkd.in/dX4hzX8g
Anthropic aims to make the inner workings.
https://postboxlive.com
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- Prompt engineering was never a real thing to begin with. - Prompt engineering is a way too expensive term for saying you know how to ask a question. This is what the almighty interwebs are currently arguing over (and Reddit, of course). My take (that I know you're all dying to hear!) is that if you have ever had a puppy, kitten, or kid and spent time training them, you know how to write a prompt. Basic iterations of what you want until you reach the goal. Easy. AND if you haven't had any of those things, use the same question method journalists have used for years to get what they need from a source: Who, what, when, where, why, how, so what. OR, take a course... BUT, if you do not want to put in the time to do those things, or you're not reaching your goals no matter how complex-ly you prompt - there are AI apps that help you write AI prompts to ask AI apps to get the AI answers you want. e.g. https://lnkd.in/e6vdtmqz BOOM. You're an AI prompt expert. 😍
Library - Anthropic
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Quite intriguing to read. What I understood is certain feature activation helps manipulate the output from LLM. In turn, it seems like wherever you put your focus, the outcome you will get. #AIResearch #AISafety #LLM #Anthropic
Mapping the Mind of a Large Language Model
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Using Embedding + BM25 for comprehensive and accurate results.. https://lnkd.in/gnrUWwFn #llm #anthropic #RAG #BM25
Introducing Contextual Retrieval
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It took a diverse understanding of various disciplines, in anthropology, psychology, human development and the imagination to conceive the advent of visual intelligence. It's interesting to see where and how the industry will decide to take the next steps - we could build AI in the image of man, or enable it to inform us of infinite possibilities in addressing a range of overlooked faults in our systems, and to bridge human biases. When you hear Prof Li speak about the enormous potential for good, and contrast that with the petty malice of how GenAI has been widely misused, it highlights a glaring gap in how the narrative has been skewed. It is imperative for women to be as much a driving force in how technology is conceived, created and governed.
Top Researcher Li on the Promises and Perils of AI
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