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LE1 minute to peace of mind with Ledger Recovery Key.
@ledger
#Ledgerpro Software Release Notes
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BYOne Website = All PDF Tools Free 🔓💡
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@bytebiteswithpkn
49.2K
JELedger lines extend the staff so we can write and read notes that are above or below the staff -
Each ledger line acts like a continuation of the staff lines, while the spaces between them continue the spaces of the staff ✨
4 ACE ledger line notes can be easily identified,
And once you recognize this, reading notes outside the staff becomes less intimidating and stressful!
📍 Save this post so you can come back for guidance
If you’re new here, I’m Jess! I have been a certified piano teacher of all ages, skill levels, learning styes, and musical genres for 15 years & classical pianist for 24 years 🩶
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@jesslpiano
46.1K
ACLedger ka Format kya hota hai 👉 ..lets understand #ledger #commerce #accounting #finance #educational #class11 #explorepage #trendingreels #cbse #boards2025 #accountant #tally #account
@accountsfundaindia
128.4K
INInspired Analyst is proud to partner up with the world’s biggest brand in cold wallet storage @ledger to bring this product to its Pakistani audience. Please feel free to use this product to secure your hard earned income in the wallet instead of keeping it on any exchange. Ledger now has a CL card which can help you spend your crypto from your cold storage wallet. This is mind blowing.
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@inspiredanalyst
18.0K
FIBukan sekadar voice recorder ini AI intelligence recorder 🔥
Plaud Note Pro ngebantu lu tangkep semua ide, meeting, dan percakapan penting tanpa ribet nulis.
Karena kadang, momen paling berharga datang dari percakapan yang kita lupa catet.
Belinya cuma di @doss.id ya ges ya
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@fikranjabbart
36.5K
NA🔥 I spent 2 weeks simplifying RAG.
Here’s the clearest breakdown you’ll ever see ..
RAG turns a general LLM into a domain expert using your knowledge.
💡 What is RAG ?
Retrieval-Augmented Generation (RAG) is the process of optimizing the output of a large language model, so it references an authoritative knowledge base outside of its training data sources before generating a response.
RAG has 3 major steps:
1️⃣ Retrieve: Find relevant information from your own data using embeddings + vector search.
2️⃣ Augment: Inject the retrieved chunks into the LLM prompt as context. This step ensures the model has the exact information it must use. This step prevents hallucination.
3️⃣ Generate: The LLM produces the final answer using both, The user’s question and the retrieved context
🌟 Why RAG Is a Big Thing Right Now
1. No fine-tuning needed - You can use your custom data instantly
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3. Super scalable - Works with millions of documents
4. Cheaper than training models - Retrieval minimizes token usage
5. Perfect for enterprise - Safe, controllable, auditable
6. Best way to build AI apps - Chatbots, copilots, search engines, document bots
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@navokitech
308.1K
AL3 Frontend Libraries Every Developer Should Know About!
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@alaa.alaff
103.9K
SESend this to someone who uses Logic Pro! For more Logic Pro tricks god to www.seids.co/links and click first link in bio 💕
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@seids_
123.1K
AIComment ‘RAG’ for links to all of these tools
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@aitoolhub.co
19.0K
PAPageIndex: solusi docoument matching AI (RAG) | pageindex.ai
@pandurijal
143
TE🚀 NotebookLM just leveled up!
You can now edit individual slides with simple prompts: tweak, tailor, and refine each one without rebuilding your deck. Plus, PPTX export is live (Google Slides next!).
This is a game-changer for student projects, PD sessions, and teacher workflows.
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@techtosas
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