GPT, Prompt Engineering, Fine-tuning, Embeddings

DLER: Doing Length pEnalty Right - Incentivizing More Intelligence per Token viaReinforcement Learning
paperium.net·2d·
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Imagine changing your app's behaviour... without changing the code. (Part 2)
lnkd.in·1h·
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Building AI Agents in Kotlin – Part 1: A Minimal Coding Agent
blog.jetbrains.com·15h
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TimeSense:Making Large Language Models Proficient in Time-Series Analysis
arxiv.org·18h
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Unlock Your Simulations: Automated Parameter Tuning for Complex Models by Arvind Sundararajan
dev.to·4h·
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AdaRec: Adaptive Recommendation with LLMs via Narrative Profiling and Dual-Channel Reasoning
arxiv.org·18h
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How We Cut LLM Batch Inference Time in Half with Dynamic Prefix Bucketing
dev.to·1d·
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How to Cut Your AI API Costs: Six Proven Strategies
dev.to·8h·
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An Empirical Study of Reasoning Steps in Thinking Code LLMs
arxiv.org·18h
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Deep Learning for Molecules and Materials
dmol.pub·1d·
Discuss: Hacker News
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NILC: Discovering New Intents with LLM-assisted Clustering
arxiv.org·18h
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MT-Video-Bench: A Holistic Video Understanding Benchmark for EvaluatingMultimodal LLMs in Multi-Turn Dialogues
dev.to·3h·
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EASE: Practical and Efficient Safety Alignment for Small Language Models
arxiv.org·18h
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Tiny Model, Big Logic: Diversity-Driven Optimization Elicits Large-Model Reasoning Ability in VibeThinker-1.5B
arxiv.org·18h
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Accelerated Reliability Prediction via Bayesian Network Ensemble and Accelerated Lifecycle Testing (BN-ALT)
dev.to·1h·
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How Lightricks trains video diffusion models at scale with JAX on TPU
cloud.google.com·6h
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MCP-RiskCue: Can LLM infer risk information from MCP server System Logs?
arxiv.org·18h
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Mind readers: How large language models encode theory-of-mind
techxplore.com·3h
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DRAGON: Guard LLM Unlearning in Context via Negative Detection and Reasoning
arxiv.org·18h
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