#Embedding

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embedded software engineerembedded systems engineerembedded meaningkundan embedded silver payalembedded systemsembedded finance companiesembedded worldembeddedembeddingsembeded system

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#Embedding Reel by @milestonemedusa - Let's do some embedding! We recently processed a bunch of new things to see what they look like under the microscope. Today we have pineapple, baloney
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@milestonemedusa
Let’s do some embedding! We recently processed a bunch of new things to see what they look like under the microscope. Today we have pineapple, baloney, imitation crab, strawberry, and pepperoni! Embedded on our Histodream EW embedding center: built for comfort, modularity and flexibility at embedding. Want more info? Message us today! #Histology #Pathology #TissueProcessing #FoodScience #Microtomy
#Embedding Reel by @m.n.gaber - إطلاق أول نموذج Embedding متعدد الوسائط بالكامل 🔥🚀 أعلنت Google عن إطلاق Gemini Embedding 2؛ أول نموذج تضمين (Embedding Model) متعدد الوسائط بالكام
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@m.n.gaber
إطلاق أول نموذج Embedding متعدد الوسائط بالكامل 🔥🚀 أعلنت Google عن إطلاق Gemini Embedding 2؛ أول نموذج تضمين (Embedding Model) متعدد الوسائط بالكامل، حيث يقوم بتحويل النصوص والصور والفيديو والصوت وملفات PDF إلى وحدات رقميى موحدة !! ✴️ يضمِّن النموذج الصوت بشكل أصيل (Native) دون الحاجة لخطوات وسيطة لتحويله إلى نص، وبالتالي يتم الحفاظ على السياق الصوتي كاملاً، مع دعم فيديوهات تصل مدتها إلى 120 ثانية وصور بدقة عالية. ✴️ يمكنك تمرير صورة مع نص في الب واحد، ما يسمح للنموذج بالتقاط العلاقات المعقدة بين أنواع الوسائط المختلفة، ويفتح آفاقاً جديدة للبحث الذكي وتصنيف البيانات الواقعية. ✴️ يدعم النموذج تقنية Matryoshka Representation Learning التي تمنحك أبعاداً مرنة (من 768 إلى 3,072)، ويمكنك من تقليص حجم المتجهات لتوفير مساحات التخزين دون فقدان جوهري في دقة الأداء. ✴️ يدعم سياقاً يصل إلى 8,192 توكن وأكثر من 100 لغة !! ✴️ يمكنه معالجة ملفات PDF مكونة من 6 صفحات وفهمها بعمق تقني يتجاوز مجرد التعرف على الكلمات. 👋 الفارق الجوهري في هذا النموذج هو إلغاء الحاجة لعمليات التحويل (Transcription)؛ فالتضمين الأصيل يعني سرعة أكبر وتكلفة أقل، ودقة إدراكية تفوق كل ما سبق. النموذج متاح الآن في المعاينة العامة (Public Preview) عبر Gemini API و Vertex AI 🔥 الرابط في التعليقات 📥 #الذكاء_الاصطناعي_بالعربي #aiNarabic #MOHD_N@SS
#Embedding Reel by @vedant.design.tech - This UI started as an experiment and ended up going viral. A lot of you asked how it was made, so I'm sharing the entire process - no shortcuts, no g
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@vedant.design.tech
This UI started as an experiment and ended up going viral. A lot of you asked how it was made, so I’m sharing the entire process — no shortcuts, no gatekeeping. From generating the base visuals with AI, layering and animating them in Unicorn Studio, to embedding the final interactive effect inside Framer and building a face-reveal hero section on top of it — everything is broken down step by step. I’ve shared all the prompts, images, and references I used in a single Google Drive link. If you’re a designer exploring AI-assisted visuals, motion-driven UI, or interactive hero sections, this workflow might help you experiment faster and think differently.
#Embedding Reel by @techwithprateek - Here's the production-grade way to think about it 👇 The Ingestion Illusion Embedding 10M PDFs upfront is pure waste Most documents are never queried
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@techwithprateek
Here’s the production-grade way to think about it 👇 The Ingestion Illusion Embedding 10M PDFs upfront is pure waste Most documents are never queried Instead: → Fingerprint PDFs → dedupe 30–40% instantly → Chunk semantically, not by fixed tokens → Embed on access, not on arrival Payoff: 5 TB shrinks to ~3 TB. Embedding bill drops 60% The Vector Tax Vector search is expensive when it’s your first filter Cosine similarity shouldn’t touch cold data Instead: → Keyword + metadata filter first → Narrow to top 1–5% corpus → Run vectors only on survivors Payoff: P95 latency improves 4–6× The Retrieval Funnel One retriever is brittle at this scale Instead: → BM25 for recall → vectors for relevance → Rerank top 50, not top 5,000 → Cache query embeddings aggressively Payoff: Recall stays high. Cost stays flat. The Context Budget Trap More context ≠ better answers It’s noise inflation Instead: → Compress chunks with summaries → Enforce hard token caps → Track answer attribution coverage Payoff: Token usage drops 70%. Accuracy goes up. Reframe: RAG is a retrieval system, not an embedding project. 🔖 Save this for your next RAG system design interview 💬 Comment “RAG” if you are also building a real-world architecture ➕ Follow for production-grade system design, not toy demos
#Embedding Reel by @dogs.halloffame - Bathing golden retrievers requires understanding their double-coat structure consisting of dense water-resistant outer guard hairs and soft insulating
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@dogs.halloffame
Bathing golden retrievers requires understanding their double-coat structure consisting of dense water-resistant outer guard hairs and soft insulating undercoat creating unique challenges for thorough cleaning and drying. Pre-bath brushing removes loose undercoat, mats, and debris preventing water from embedding tangles deeper, making this preparatory step essential for effective bathing rather than optional grooming that can occur post-bath like single-coated breeds. Water temperature matters significantly—lukewarm water between 98-104°F matches canine body temperature preventing discomfort while ensuring thorough saturation through the water-resistant outer coat. Cold water fails penetrating to skin level while hot water risks burns on sensitive skin areas and causes unnecessary stress making temperature regulation critical for positive bathing experiences. Thorough saturation takes considerably longer than anticipated due to coat density requiring systematic soaking working from neck backward ensuring water reaches skin level rather than beading on surface guard hairs. Handheld spray nozzles provide better saturation control than overhead shower streams, allowing targeted water application ensuring complete coat penetration before shampoo application begins. Shampoo selection impacts coat health—pH-balanced formulas specifically designed for dogs (pH 6.5-7.5) prevent skin irritation, while human shampoos (pH 4.5-5.5) disrupt canine skin acid mantle causing dryness and irritation. Diluting shampoo with water before application ensures even distribution and easier rinsing preventing residue accumulation causing skin problems and dull coat appearance. Rinsing requires double the time spent shampooing, with residual product causing skin irritation, attracting dirt, and creating dull appearance. Systematic rinsing from head to tail, lifting coat sections ensuring water reaches skin, and continuing until water runs completely clear prevents common bathing mistakes where insufficient rinsing undermines cleaning efforts. Drying presents the greatest challenge due to dense undercoat retaining moisture creating fungal growth risks if left damp.
#Embedding Reel by @art_dailydose (verified account) - Irina Safonova is an artist who merges painting with cut glass to create her artworks. By carefully shaping and embedding glass elements directly into
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@art_dailydose
Irina Safonova is an artist who merges painting with cut glass to create her artworks. By carefully shaping and embedding glass elements directly into her compositions, she introduces reflections, depth, and light that change as the viewer moves. Artist: @artmastery.si #art #painting #glassart #artist
#Embedding Reel by @interiorsshifted - From pile to polished 🏀🏉 This reel shows the full timelapse of embedding basketballs & rugby balls under a clear epoxy layer. Want the short mater
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@interiorsshifted
From pile to polished 🏀🏉 This reel shows the full timelapse of embedding basketballs & rugby balls under a clear epoxy layer. Want the short materials list (resin type, thickness, prep)? Comment “MATERIALS” and I’ll drop it. CTA: Comment “MATERIALS” • Save this for later • Tag a friend who’d love it #ResinPour #DIYHome #EpoxyArt #SatisfyingReel #BeforeAfter
#Embedding Reel by @dankverse.1 - The post showcases a 14-second video of a cobra striking at a porcupine in a forested area, where the porcupine curls into a spiky ball, thwarting the
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@dankverse.1
The post showcases a 14-second video of a cobra striking at a porcupine in a forested area, where the porcupine curls into a spiky ball, thwarting the attack and embedding quills in the snake's mouth for comedic effect. Uploaded on 12 February 2026 by @fakelifestyle0 , a humour-focused account, it amassed 6.4 million views and 12,000 likes within two days, driven by the unexpected reversal of predator-prey roles. Porcupines' quills, as detailed in wildlife studies like those from the Smithsonian, detach on impact to deter threats, illustrating a clever evolutionary defence that turns potential meals into painful lessons for predators.
#Embedding Reel by @engineerbeatsai - How RAG actually finds the answer 🔎 1️⃣ A user asks a question 2️⃣ The question is converted into an embedding (vector representation) 3️⃣ The vector
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@engineerbeatsai
How RAG actually finds the answer 🔎 1️⃣ A user asks a question 2️⃣ The question is converted into an embedding (vector representation) 3️⃣ The vector database searches for the most similar chunks of text 4️⃣ Top results are retrieved — for example Chunk 1 and Chunk 2 5️⃣ These chunks are passed to the LLM as context 6️⃣ The LLM generates an answer grounded in those chunks So instead of guessing from training data, the model first looks up relevant information from your documents. That’s why RAG helps reduce hallucinations and allows LLMs to answer questions from private knowledge bases, PDFs, or company data. Think of it like the model asking multiple document pieces: “Do you have the answer?” #RAG #RetrievalAugmentedGeneration #VectorDatabase #LLM #GenAI AIEngineering AIArchitecture PromptEngineering MachineLearning AIForDevelopers AgenticAI BuildInPublic
#Embedding Reel by @weird__designs - Golden Ferrero Epoxy Dining Table That Shines Luxury A luxury dining table crafted with epoxy resin, embedding hundreds of golden Ferrero-style choco
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@weird__designs
Golden Ferrero Epoxy Dining Table That Shines Luxury A luxury dining table crafted with epoxy resin, embedding hundreds of golden Ferrero-style chocolates beneath a crystal-clear surface. The spiral arrangement glows under warm lighting, turning the entire dining space into an edible-inspired statement of elegance. #weirddesigns #interiordesign #homedesign #epoxy #renovation #diningtable #luxurydesign #goldeninterior #diy #modernluxury
#Embedding Reel by @mathmatizememes - Embedding myself right in #math #mathmemes #stem #mathematics #mathematician
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@mathmatizememes
Embedding myself right in #math #mathmemes #stem #mathematics #mathematician
#Embedding Reel by @howdothingswork_ - The main cables of a suspension bridge end by connecting to massive concrete blocks called anchorages at each side of the bridge, securely embedding t
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@howdothingswork_
The main cables of a suspension bridge end by connecting to massive concrete blocks called anchorages at each side of the bridge, securely embedding them in the ground to handle the immense tension, though sometimes they connect to the bridge structure itself. These anchorages transfer the load from the cables, through the towers, and finally to the earth, supporting the bridge's deck and How the Cables are Secured: 1. Main Cables: These run between tall towers (pylons) and dip in a curve (catenary). 2. Suspenders: Smaller vertical cables or rods hang from the main cables to hold up the roadway (deck). 3. Towers: The main cables pass over the towers, transferring some vertical load downwards. 4.Anchorages: At the bridge's ends, the main cables are pulled taut and embedded deep into huge concrete structures (anchorages) built into the ground, which hold them firmly. #explore #viral #reels #fyp #engineering

✨ Guia de Descoberta #Embedding

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Descubra o conteúdo mais recente de #Embedding sem fazer login. Os reels mais impressionantes sob esta tag, especialmente de @interiorsshifted, @dogs.halloffame and @art_dailydose, estão ganhando atenção massiva.

O que está em alta em #Embedding? Os vídeos Reels mais assistidos e o conteúdo viral estão destacados acima.

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💡 Posts top têm média de 2.0M visualizações (2.5x acima da média)

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💡 O conteúdo de melhor desempenho recebe mais de 10K visualizações - foque nos primeiros 3 segundos

✍️ Legendas detalhadas com história funcionam bem - comprimento médio 784 caracteres

📹 Vídeos verticais de alta qualidade (9:16) funcionam melhor para #Embedding - use boa iluminação e áudio claro

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