Agents In the demo above we created a Chef and an Apprentice. You describe your agents, their objectives and goals using just text.
PROMPT ENGINEERING
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Getting Started with Jina AI Agents Free Platform
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Getting Started 1. Go to http://
promptperfect.jina.ai
2. Select "Agents" in left sidebar
3. Create and Agent
4. Create an environment
5. Start a simulation Below is step by step instructions. and it’s FREE -
Building RAG-Powered Chatbots with LLM Chat Endpoints
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What can you build with LLM chatbots powered by retrieval-augmented generation (RAG)? The Chat endpoint makes it easy to build RAG-powered chatbots. In this LLM University chapter, learn the foundations of LLM chatbots and the Chat endpoint. https://
txt.cohere.com/exploring-chat
-rag/
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Tokenizer Consistency in RAG Applications and Model Deployment
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If you are using a model from someone else or creating an RAG-based application, be sure to use the same tokenizer (the one most appropriate to your task) for both building your dataset/training and querying (using) the model.
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Computational Sub-area Emerges Within Prompt Engineering
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cs will be the computational sub area of the prompt engineering department
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Prompt Engineering: The English Major Plot Twist
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plot twist, the real prompt engineering major was just English all along
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When Will Cornell CS Offer Prompt Engineering Major?
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how many years until Cornell CS allows people to major in Prompt Engineering?
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GPT-4 DALLE3 prompt interpretation differences explained
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And as pointed out, if you are on the web-version of GPT4/DALLE3 you can indeed click on the images and get your full prompts, but these are still not the ones you wrote in the first place. But the GPT4 interpretation based on your initial ask.
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Extracting GPT-4 System Instructions: Challenges and Insights
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Here is how the pre-cursor instructions are, I've yet been able to get GPT4 to exactly spill the beans on the system instructions.