Prompts that work for beginners (small, clear, and testable)
dev.to·1h·
Discuss: DEV
🎭Program Synthesis
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Planning > Agents: Getting Reliable Code from LLMs
repoprompt.com·8h·
Discuss: Hacker News
🎭Program Synthesis
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MemSearcher: Training LLMs to Reason, Search and Manage Memory via End-to-End Reinforcement Learning
arxiv.org·5h
📱Edge AI
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Radar Trends to Watch: November 2025
oreilly.com·22h
🎭Program Synthesis
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Supercharging the ML and AI Development Experience at Netflix
netflixtechblog.com·13h
🚀Performance
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Beyond Scarcity: How LLM-Driven Synthetic Data Generation is Reshaping AI
pub.towardsai.net·5h
🎭Program Synthesis
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My dumb prompts that worked better
blog.nilenso.com·1d
📝Parsing
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The Science of AI Internal State Awareness
responseawareness.substack.com·18h·
Discuss: Substack
🎭Program Synthesis
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Detailed Technical Documentation on AI Implementation Logic (Taking Large Language Models as an Example )
nbtab.com·1d·
Discuss: DEV
📱Edge AI
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It Doesn’t Need to Be a Chatbot
towardsdatascience.com·1d
💬Natural Language Processing
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The Learning Loop and LLMs
martinfowler.com·20h·
Discuss: Hacker News
🎭Program Synthesis
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Show HN: Refusal-Aware Logical Framework for LLMs
github.com·18h·
Discuss: Hacker News
🧮SMT Solvers
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Post-training methods for language models
developers.redhat.com·1d
📱Edge AI
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LangChain vs LangGraph: A Beginner’s Guide to Building Smarter AI Workflows
hackernoon.com·1d
🕸️Knowledge Graphs
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Cutting LLM Batch Inference Time in Half: Dynamic Prefix Bucketing at Scale
daft.ai·17h·
Discuss: Hacker News
🎴TAO
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Continuous Autoregressive Language Models
shaochenze.github.io·7h·
Discuss: Hacker News
📱Edge AI
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Writing an LLM from scratch, part 27 – what's left, and what's next?
gilesthomas.com·1d·
Discuss: Hacker News
🚀MLOps
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Good abstractions for humans turn out to be good abstractions for LLMs
betweentheprompts.com·1d·
Discuss: Hacker News
🎭Program Synthesis
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Unlocking AI Vision with the Wisdom of Cats: Building Generalizable Models
dev.to·1h·
Discuss: DEV
📱Edge AI
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Prompt Injection as an Emerging Threat: Evaluating the Resilience of Large Language Models
arxiv.org·1d
🛡️AI Security
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