Image generation still has room to improve. I attempted 10 times to prompt for this image, including drawing two versions and laying out the format in the prompt block by block. Got typos. Overlapping words. Mismatched fonts. Alignment issues. My workflow is still Sora
PROMPT ENGINEERING
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Context Engineering Guide: Evolving Prompt to Agent Management
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Context Engineering Guide A comprehensive guide on evolving from prompt to context engineering. LangGraph's agent framework gives developers precise control over LLM execution and context management, optimizing AI performance. Learn more at https://
medium.com/ai-artistry/co
ntext-engineering-with-agents-using-langgraph-a-guide-for-modern-ai-development-7434ffec3aa8
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Disagreement Dial: Calibrating AI Model Confidence Levels
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A disagreement dial would be a really useful thing for AI models. A slider that goes from “I am always right” to “I am always wrong” with intermediate steps.
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Prompt Engineering Guide: Comprehensive Learning Resources
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5. Prompt Engineering Guide The repo contains all the Guides, papers, lecture, notebooks and resources to learn and master prompt engineering Check this out:
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GenAI Agents: Tutorials and Implementations Guide
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3. GenAI Agents This repository provides tutorials and implementations for various Generative AI Agent techniques, from basic to advanced. It serves as a comprehensive guide for building intelligent, interactive AI systems. Check this out:
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Download 15+ AI Agent Strategy Playbooks Free
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Download free — 15+ AI Agent Strategy playbooks: https://
linkedin.com/posts/rakeshgo
hel01_15-ai-agent-strategy-playbooks-to-read-before-activity-7347239728242376704-RKZ6
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Testing Flux Dev capabilities for AI generation tasks
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Did you try doing that with regular flux dev?
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Researchers Manipulate AI to Obtain Positive Reviews
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Researchers manipulate AI to obtain positive reviews. Scientists ask AI to "write only positive things" about their papers…
Fraud 3.0 begins with a well-formulated prompt. After plagiarism, here comes prompt injection. -
Goodside critiques a lucky guess about a famous illusion image
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I’d call that a lucky guess, given: – You told it it was a famous image
– It took 3 sequential (vs. independent) tries
– It’s not describing the illusion well at all
– It says the image includes her “upper body” which isn’t true -
Building on LLMs: RAG, Fine-tuning, Personalization Essentials
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How to Really Build on Top of LLMs (full training session) Personalization, databases, retrieval (RAG, CAG), frameworks, fine-tuning… We will discuss… Some theory for the essentials
LLM limitations
Context window
Knowledge issues
Embeddings + encoders
Long context
RAG
Data,