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🧠 AI Inferencing
Oracle to offer Google’s Gemini models to customers, accelerating enterprises’ agentic AI journeys
zawya.com·1d
⛓️chain of thought
CAPTCHA Chaos: AI Advances Making Tests Too Hard for Humans?
howtogeek.com·20h
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Finding your academic voice: faster, healthier writing with AI speech recognition
nature.com·15h
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The lottery ticket hypothesis: why neural networks work
nearlyright.com·1d·
Discuss: Hacker News
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How MCP Connects AI Models to Edge Devices
glama.ai·21h·
Discuss: r/LLM, r/embedded
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Just One More Prompt
steipete.me·1d·
Discuss: Hacker News
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ML Observability: Bringing Transparency to Payments and Beyond
netflixtechblog.com·1d
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Search Engine Journal: AI Systems Often Prefer AI-Written Content, Study Finds
rbfirehose.com·19h
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A case against successionism for Galaxy-brain Gavin
lesswrong.com·5h
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How to Optimize Embeddings for Accurate Retrieval?
analyticsvidhya.com·17h
🦀Rust
Excel's Latest Feature Will Make Your Cells Way Smarter
howtogeek.com·22h
⛓️chain of thought
Which UIs provide Multi-model chat like in typingmind and deep-research workflows like those in the commercial platforms?
reddit.com·21h·
Discuss: r/LLM
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Why Aggregators Ate the Internet
every.to·40m
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Drifting Away from Truth: GenAI-Driven News Diversity Challenges LVLM-Based Misinformation Detection
arxiv.org·1d
🦀Rust
Spot the BlindSpots: Systematic Identification and Quantification of Fine-Grained LLM Biases in Contact Center Summaries
arxiv.org·1d
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People are using ChatGPT to summarize fiction – and it’s everything wrong with AI
techradar.com·1d
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Context Engineering: Bringing Engineering Discipline to Prompts—Part 2
oreilly.com·1d
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Optimal Condition for Initialization Variance in Deep Neural Networks: An SGD Dynamics Perspective
arxiv.org·1d
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Hugging Face: 5 ways enterprises can slash AI costs without sacrificing performance
venturebeat.com·1d
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Evals Are All You Need: The Definitive Guide to AI Agent Evaluation for Developers
dev.to·23h·
Discuss: DEV
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