Can you really build a full course in 10 minutes? 🤔
I tried it—one prompt, one screencast, one take.
Result: A complete Intermittent Fasting course.
The age of instant learning is here.
🔗 https://t.co/gP6R8kjK3h
🚀 We’re taking LEIA global!
Our AI-powered platform instantly transforms static PDFs into fully interactive digital courses. After cutting course creation time from months to minutes, we’re now ready to share this story with the world.
I’m looking for someone experienced in international press outreach / PR who can help us craft and distribute compelling news releases about LEIA.
If you’re passionate about edtech, AI, and global storytelling—and know how to get a product like this into the spotlight—I’d love to connect.
👉 DM me if you’re interested or can recommend someone great!
#AI #EdTech #PR #LEIA #GlobalLaunch
🌟 Tesla Robovan Promo Video
📽️ Powered by Hailuo AI
🚐 I couldn’t wait to see the future with Tesla Robovan.
🎬 So I captured that vision in a video using the powerful Hailuo AI.
🚀 Experience Tesla’s autonomous future now!
Tesla Robovan의 미래 도시가 보고 싶어
Hailuo AI를 이용해 비디오에 상상력을 담았습니다.
Tesla와 함께 할 미래를 먼저 보세요!
🌟 Hailuo AI is truly amazing!!
@Hailuo_AI@Tesla@tesla_korea@elonmusk
#Hailuo #TESLA #ROBOVAN #AIVIDEO #HAILUOAI
#AutonomousDriving #FutureMobility #TeslaRobovan
#Gen3 #Kling #FanVideo
고객 경험 3: 행동 유도
규칙기반의 챗봇은 유저의 선택에 대해서 수동적인 자세로 정보를 제공하는 입장이라면, 이와는 대조적으로 챗GPT기반의 AI챗봇은 능동적으로 고객의 행동을 유도할 수 있습니다. 이 역시 프롬프트 엔지니어링으로 가능한데요.
https://t.co/cxLZcmYVxr
이주 노동자들이 한국에서 사는 것이 쉽지 않을 때, 자국의 언어로 상담을 해준다면, 그들에게 조그만 위로가 될 수 있지 않을까요? OpenAI의 TTS를 테스트 해봤습니다. 56개 언어를 지원하고 있네요. 구글 번역기로 우즈벡어로 번역하고 테스트 해봤는데 멋진데요? https://t.co/wnkiBTkIuO
RAG From Scratch: Query Translation (HyDE)
Our RAG From Scratch video series walks through impt RAG concepts in short / focused videos w/ code. This is our final video on Query Translation, focused on Hypothetical Document Embeddings (HyDE) from Gao et al.
🔧 Problem: Documents are often very different from input user questions. But, many retrieval approaches embed documents and question into the same embedding space for similarity search.
💡Idea: Use an LLM to convert questions into hypothetical documents that answer the question. Use the embedded hypothetical documents to retrieve real documents with the premise that doc-doc similarity search can produce more relevant matches.
📽️ Video:
https://t.co/7MlwTaSpla
💻 Code:
https://t.co/DGogC0sEZc
🧠 References:
HyDE: https://t.co/1xdUCV6hF0