Paradigms of Intelligence Team
github.com·6h·
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So you want to use SLMs. Can you handle them?
unionailoop.substack.com·6h·
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Deep Think with Confidence
arxiviq.substack.com·2d·
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Build an AI Agent with LangGraph
spin.atomicobject.com·8h·
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LLMs: Common terms explained, simply
newsletter.eng-leadership.com·2d·
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Study on how French people use AI
huggingface.co·1d·
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Making MCP Tool Use Feel Natural with Context-Aware Tools
ragie.ai·1h·
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AWS Machine Learning Engineer (Associate) Exam
bukola.info·11h·
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Google’s AI model just nailed the forecast for the strongest Atlantic storm this year
arstechnica.com·5h
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Evaluating Long-Term Conversational Memory of LLM Agents
arxiv.org·1d·
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The Science of Intelligent Exploration: Why We Need Exploration in AI
richardcsuwandi.github.io·2d·
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Adversarial Examples Are Not Bugs, They Are Superposition
livgorton.com·1h·
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Paying attention to feature distribution alignment (pun intended)
alexshtf.github.io·1d·
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Agentic RAG and Context Engineering for Agents
vincirufus.com·2h·
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Do LLMs 'store' personal data? This is asking the wrong question (2024)
iapp.org·1d·
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Use it or lose it – musings on LLMs
onoffswitch.net·1d·
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AI Doctors Won't Work for Free
8vc.com·2h·
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Improving Search for Deep Research Agents
vishnudut.com·22h·
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Impact of AI on SaaS Sales Teams: Transforming Sales Processes and Outcomes
guptadeepak.com·20h·
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Notes on Autograd
aschrein.github.io·1d·
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