Most AI apps are still burning money by sending every prompt to the most expensive model.That won’t last.The real unlock is routing: cheap models for simple jobs, stronger models when it actually matters, fallback when providers break.This is the infra layer everyone eventually needs.
1:13
Most AI apps are still burning money by sending every prompt to the most expensive model.That won’t last.The real unlock is routing: cheap models for simple jobs, stronger models when it actually matters, fallback when providers break.This is the infra layer everyone eventually needs.
1.2M views1 week ago
x.comGod of Prompt
Meta's NLLB-200 AI Translation Model is Capable of Translating 200 Languages in Real-Time
Meta's NLLB-200 AI Translation Model is Capable of Translating 200 Languages in Real-Time
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Prompt Patterns
Prompt Patterns
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vanderbilt.edu
What is prompt chaining? | IBM
What is prompt chaining? | IBM
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ibm.com
👌 ChatGPT Jedyny Prompt Jaki Potrzebujesz ✅ *IDEALNY prompt wg. skryptu K.R.A.F.T:* KONTEKST: Stworzymy jeden z najlepszych promptów do ChatGPT, jakie kiedykolwiek powstały. Najskuteczniejsze prompty zawierają kompletne informacje, które jasno określają: cele, niezbędne obszary wiedzy, kontekst branżowy, preferowany format, grupę docelową, źródła, przykłady oraz najlepsze podejście do realizacji zadania. Na podstawie tych danych oraz kolejnych wskazówek, które otrzymasz, będziesz w stanie stwor
5:27
👌 ChatGPT Jedyny Prompt Jaki Potrzebujesz ✅ *IDEALNY prompt wg. skryptu K.R.A.F.T:* KONTEKST: Stworzymy jeden z najlepszych promptów do ChatGPT, jakie kiedykolwiek powstały. Najskuteczniejsze prompty zawierają kompletne informacje, które jasno określają: cele, niezbędne obszary wiedzy, kontekst branżowy, preferowany format, grupę docelową, źródła, przykłady oraz najlepsze podejście do realizacji zadania. Na podstawie tych danych oraz kolejnych wskazówek, które otrzymasz, będziesz w stanie stwor
71 viewsMay 20, 2025
FacebookDariusz Pichalski. WordPress & Marketing
Microsoft Learn AI Skills Challenge Ep05: Get started with prompt flow to develop Large Language Model (LLM) apps
Microsoft Learn AI Skills Challenge Ep05: Get started with prompt flow to develop Large Language Model (LLM) apps
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Microsoftv-trmyl
This dead simple prompt technique boosts accuracy on LLMs by up to 76%
This dead simple prompt technique boosts accuracy on LLMs by up to 76%
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Daily Horoscope For May 08 2026
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spent my saturday vibe-tuning another Kalenjin LoRA. this time SWAHILI to KALENJIN model on top of @metaai's nllb-200-distilled-600m.open sourced the site for you to test it as well powered by @modal for inference and @vercel for app hosting.data is still a huge challenge. not a lot of data and the quality is not great either. seems very prevalent for most African low-resource languages.got plans for more of these for other low-resource languages in Kenya.
4.5K views1 week ago
x.comTony Kipkemboi
1:25
ByteDance baru aja rilis image model yang understand prompt kayak human designer. Namanya Dreamina Seedance 2.0, sekarang udah live di Dreamina. Yang bikin model ini beda: Smarter & more intelligent, Reasoning ability, Partial interactive editing, Portrait enhancement,Output 4K, dan di Dreamina ini gratis Buat content creator, marketer, designer, ini lo harus coba sih. Cek link di bio buat cobain gratis! #dreamina #dreaminapartner #seedance #dreaminaseedance2 #seedream
64.4K views1 week ago
TikTokzaldintech
0:14
1 - Simply suffix your prompt - ask the model nicely to "Answer in JSON that [looks like this|follows this schema]". This often works surprisingly well, but you often need a little extra handling to safely extract parseable JSON and regenerate if it failed. You can also use in-context learning to "train" the model to answer in a specific way - at the expense of conversational ability. For automation we normally want something a bit more reliable...
579 views1 week ago
x.comShaun Smith
0:40
Profundización en la función: el Shot Plan como documento de dirección creativaHow it works:The workflow is built around a two-step process.First, one AI model interprets the prompt and creates the shot plan. Then, a second model renders the final cinematic video
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Least-to-Most Prompting
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