Himanshu BamoriainAthina AIQLoRA: Quantized Low-Rank AdaptationReaching AI’s Potential: QLoRA’s Function in Effective Model Adjustment3d ago3d ago
Himanshu BamoriainAthina AI[Research Paper Summary] RAT: Retrieval Augmented Thoughts Elicit Context-Aware Reasoning in…Original Paper: https://arxiv.org/abs/2403.053133d ago3d ago
Himanshu BamoriainAthina AI[Research Paper Summary]Training Language Models to Self-Correct via Reinforcement LearningOct 3Oct 3
Himanshu BamoriainAthina AIOptimizing User Engagement in LLM Applications: Key Metrics and StrategiesSuccess in the rapidly evolving field of AI product development depends on comprehending and enhancing user interaction.Oct 3Oct 3
Himanshu BamoriainAthina AIThe Future of AI Memory Systems: Human Cognition Meets Advanced AlgorithmsStrong AI applications require efficient memory systems in the rapidly evolving field of artificial intelligence.Oct 3Oct 3
Himanshu BamoriainAthina AIHow Transparency in Large Language Models Shapes Ethical AI DevelopmentOverviewOct 2Oct 2
Himanshu BamoriainAthina AIImproving Performance Using Prompts: Automated Design of Agentic Systems (ADAS)IntroductionSep 30Sep 30
Himanshu BamoriainAthina AI[Research Paper Summary]The Foundation Model Transparency IndexOriginal Paper: https://arxiv.org/abs/2310.12941Sep 28Sep 28
Himanshu BamoriainAthina AIUnlocking AI Potential: Advanced Prompt Engineering TechniquesIntroductionSep 28Sep 28
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