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New Post: Anthropic aims to make the inner workings. https://lnkd.in/dX4hzX8g

🚀 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

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

📚 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

The video discusses AWS Bedrock's integration with Claude by Anthropic, focusing on its innovative approach to AI known as constitutional AI, which emphasizes safety, honesty, and helpfulness. Claude is designed to interact in natural language while continuously learning from user feedback, making it a valuable tool for summarizing information and fact-checking. The video highlights the importance of ethical AI, showcasing how Claude adheres to responsible AI principles and offers customization for various business needs. Highlights 🤖 Constitutional AI Approach: Claude utilizes a unique method that prioritizes safety, honesty, and helpfulness over mere model accuracy, aiming to prevent harmful behaviors like violence and defamation. 📊 Capabilities of Claude: The AI can summarize documents, fact-check information, and engage in personalized conversations, significantly enhancing productivity by allowing users to focus on key points quickly. 🛡️ Ethics in AI: Claude's design incorporates ethical considerations, acting as a safeguard against risks like algorithmic bias, which can build consumer trust and provide a competitive advantage in the AI landscape. #AWS #AI #EthicalAI https://lnkd.in/gTmQrWaJ

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

⭐New research from Anthropic provides insights into the inner workings of large language models (LLMs), potentially aiding in their interpretability and safety. - Mechanistic Interpretability: Anthropic's study applied dictionary learning to uncover how combinations of neurons activate in response to specific prompts, identifying around 10 million patterns. - Feature Manipulation: Researchers found that amplifying or suppressing these patterns could alter the model's behavior, validating their role in how the model represents and responds to the world. - Implications for AI Safety: This understanding could help address concerns about bias, safety risks, and model autonomy, enabling more productive discourse and better control mechanisms. ⭐ #MrAlohaAI #GetSkillsAI https://lnkd.in/gZxFbKXN

Izmu - Anthropic claims its latest model is best-in-class

Discover the early uses of Anthropic's Claude 3.5 and Artifacts in this exciting video! See how these cutting-edge tools are revolutionizing the AI landscape. Don't miss out on the future of artificial intelligence! https://lnkd.in/gWUBjeXd #Anthropic #Claude35 #AIRevolution #TechInnovation

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!