#embeddings--vector-search
#embeddings--vector-search
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#machine-learning #ai-agents #google #approximate-nearest-neighbor #deepseek-v3 #large-language-models
Software development
fromMedium
2 weeks agoInside Dify AI: How RAG, Agents, and LLMOps Work Together in Production
Dify AI provides a unified platform for deploying production language model systems with built-in solutions for data freshness, observability, versioning, and safe deployment across multiple cloud environments.
Mobile UX
fromEngadget
3 weeks agoNothing updates its AI app with semantic search and a new way to track events
Nothing's updated Essential Space app now recognizes events from images and supports semantic search, making it easier to organize and find screenshots, voice recordings, and other digital content on 2025 and 2026 Nothing phones.
fromTNW | Insider
4 weeks agoDominate AI search in 2026
Buyers no longer open ten tabs, skim through blog posts, and slowly form an opinion over weeks. Instead, they ask a single question to an AI system and receive a shortlist in return, usually two or three companies that feel familiar, credible, and safe enough to justify internally. That shortlist often becomes the entire market in the buyer's mind.
Marketing
Python
fromPyImageSearch
3 weeks agoDeepSeek-V3 Model: Theory, Config, and Rotary Positional Embeddings - PyImageSearch
DeepSeek-V3 introduces revolutionary architectural innovations including Multihead Latent Attention that reduces KV cache memory by 75% while maintaining model quality, addressing critical challenges in inference efficiency, training cost, and long-range dependency capture.
fromSearch Engine Roundtable
2 months agoGoogle AI Mode Prompting To Narrow Your Query
If you want to narrow your options down to bags suitable for a trip to Portland, Oregon in May, Al Mode will start a query fan-out, which means it runs several simultaneous searches to figure out what makes a bag good for rainy weather and long journeys, and then use those criteria to suggest waterproof options with easy access to pockets.
E-Commerce
fromNature
2 months agoMultimodal learning with next-token prediction for large multimodal models - Nature
Since AlexNet5, deep learning has replaced heuristic hand-crafted features by unifying feature learning with deep neural networks. Later, Transformers6 and GPT-3 (ref. 1) further advanced sequence learning at scale, unifying structured tasks such as natural language processing. However, multimodal learning, spanning modalities such as images, video and text, has remained fragmented, relying on separate diffusion-based generation or compositional vision-language pipelines with many hand-crafted designs.
Artificial intelligence
fromInfoQ
1 month agoBuilding Embedding Models for Large-Scale Real-World Applications
What happens under the hood? How is the search engine able to take that simple query, look for images in the billions, trillions of images that are available online? How is it able to find this one or similar photos from all that? Usually, there is an embedding model that is doing this work behind the hood.
Artificial intelligence
Artificial intelligence
fromTechzine Global
2 months agoRAG '2.0': the Instructed Retriever links AI agents to the right data
The Instructed Retriever extends RAG to retrieve up to 70% more relevant, context-aware business information while mitigating LLM instruction-following and reasoning shortcomings.
fromGeeky Gadgets
2 months agoNo Code Autonomous AI Research Assistant for Deep Web Research
What if you could build your own AI research agent, no coding required, and customize it to tackle tasks in ways existing systems can't? Matt Vid Pro AI breaks down how this ambitious yet accessible project can empower anyone, from students to seasoned professionals, to create a personalized AI capable of conducting deep research, synthesizing data, and delivering actionable insights.
Artificial intelligence
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