2. Midjourney AI Prompt: 35 mm photo, lily, quantum wave tracking –chaos 5 –stylize 350
PROMPT ENGINEERING
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Using Midjourney Prompts for Professional Photography Replacement
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Commercial photography is DEAD. Because AI Tools like Midjourney made it obsolete. Here's 10 mind-blowing Midjourney prompts to replace your photographer:
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ChatGPT and DALLE comics top reader feedback in newsletter
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ChatGPT + DALLE creating comics in each edition of the AI Breakfast newsletter started as an experiment 2 months ago, and now generates more reader feedback than anything I write about. Took a lot of prompt massaging to get the system down, but I like where it’s ended up.
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Self-Reflective RAG Enhancement Using LangGraph
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Self-Reflective RAG using LangGraph Self-reflection can enhance RAG, enabling correction of poor quality retrieval or generations. Several recent papers focus on this theme, but implementing the ideas can be tricky. Here is a video and two cookbooks that show how to engineer
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Building LLM Agents with Plugin Access and Personalization
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Connery Plugins + OpenGPTs Blog + video links at the end! Some of the coolest LLM-powered apps involve granting the model agentic access to third-party systems, but there are a few things to think about when shipping: Personalization: How do you manage linked
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Customizing prompts with your own instructions
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You can also rewrite some parts of this prompt into your custom instructions and change them to what you want.
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Fine-tuning Language Models with Predefined Prompt Structures
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Also, a question: When you fine-tune a model that had a predefined prompt structure, like, let's say, Mistral for instance with its [INST] Instruction [/INST] do you use that in the fine-tuning process too when you're feeding the new strings?
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Guide complet : fine-tuner vos LLMs efficacement
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Ready to #finetune but don't know where to start? We got you covered! Answers to your 4 biggest questions: When to fine-tune your #LLMs How to prepare your data What does it take to manage #infra How to reliably + #efficiently fine-tune
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RAG From Scratch: New Video Series on LLM Integration
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RAG From Scratch: series focused on understanding the RAG landscape RAG is central for LLM application development, connecting LLMs to external data sources. But, the pace of innovation and new approaches makes it challenging to keep up. We're launching a new video
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Mixtral 8x7B Now Available for Poe Bot Creation
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We’ve added Mixtral 8x7B as a base model for bot creation! All Poe users can now create prompt bots on Mixtral-8x7B-Chat, a chat fine-tuned version of one of the strongest open source models. We can’t wait to see what you build! pic.twitter.com/IYzQqCRRaq
— Poe (@poe_platform) 6 février 2024We’ve added Mixtral 8x7B as a base model for bot creation! All Poe users can now create prompt bots on Mixtral-8x7B-Chat, a chat fine-tuned version of one of the strongest open source models. We can’t wait to see what you build!
