5. Make ChatGPT Prompt Generator "Develop a set of guidelines for creating a ChatGPT prompt generator tool. Define the tool's functionality, user input requirements, and the logic needed to generate effective prompts for various applications."
PROMPT ENGINEERING
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Fair Model Comparison Requires Consistent Prompting Techniques
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Yes, this is my point: we shouldn't compare different models based on different prompting techniques. We need reflection vs. reflection, CoT vs. CoT, etc.
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Reflection technique between AI models by Fernando Neto
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Example from the great @FernandoNetoAi of reflection with another model.
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Flux LoRAs Eliminates Need for Model Training
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Thank god for Flux LoRAs i don't need to train anymore
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Google DeepMind AlphaProteo and top AI stories today
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Top stories in AI today: -Google DeepMind reveals ‘AlphaProteo’
-New AI agent builds apps from prompts
-Find top prompts with Google’s Prompt Gallery
-AI creates infinite Super Mario Bros game
-6 new AI tools & 4 new AI jobs Read more: http://
therundown.ai/p/google-alpha
proteo-closer-to-curing-cancer
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Replit Agent: AI-Powered Multi-File App Development
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i've been beta testing the replit agent and it's 🔥! have built a couple apps with one prompt that used to take many copy/pastes. def worth a try!
— Yohei (@yoheinakajima) 6 septembre 2024
>ask for thing
>get and approve tasklist
>help check work along the way
>get working replit repo
can do simple multi-file apps well… https://t.co/SOwW00JAEwi've been beta testing the replit agent and it's ! have built a couple apps with one prompt that used to take many copy/pastes. def worth a try! >ask for thing
>get and approve tasklist
>help check work along the way
>get working replit repo can do simple multi-file apps well -
Prompt Engineering Integration into Model Training Approaches
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honestly some of the technical details of AI models are beyond me. love the simplicity of this approach! prompt engineering getting baked into model training!
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Generate Synthetic Data for LLM Fine-Tuning with Minimal Examples
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Is a lack of data holding you back from training your next model?
— Predibase by Rubrik (@predibase) 5 septembre 2024
Learn how you can generate synthetic data from as few as 10 seed examples for fine-tuning an LLM that outperforms GPT-4.
Watch this 90-second or try for yourself with our free trial: https://t.co/XX3F43IRMu pic.twitter.com/1aWOigZtp1Is a lack of data holding you back from training your next model? Learn how you can generate synthetic data from as few as 10 seed examples for fine-tuning an LLM that outperforms GPT-4. Watch this 90-second or try for yourself with our free trial: https://
pbase.ai/47iRWlq -
Prompt Engineering Evolution: Tips and Future Outlook
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In our latest video, our team reflects on how prompt engineering has evolved, gives practical tips for writing better prompts, and looks to the future as AI capabilities grow.
— Anthropic (@AnthropicAI) 5 septembre 2024
Watch more: https://t.co/SUCUD4PVd4 https://t.co/jQOI8icR1OIn our latest video, our team reflects on how prompt engineering has evolved, gives practical tips for writing better prompts, and looks to the future as AI capabilities grow. Watch more: https://
youtube.com/watch?v=T9aRN5
JkmL8
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