Na minha lista:
| Autor principal: | COYAUD, Denis |
|---|---|
| Formato: | Recurso digital |
| Idioma: | inglês |
| Publicado em: |
Zenodo
2026
|
| Assuntos: | |
| Acesso em linha: | https://doi.org/10.5281/zenodo.19358657 |
| Tags: |
Adicionar Tag
Sem tags, seja o primeiro a adicionar uma tag!
|
Registos relacionados
Prompt Engineering: a methodology for optimizing interactions with AI-Language Models in the field of engineering
Por: Juan David Velásquez-Henao
Publicado em: (2023)
Por: Juan David Velásquez-Henao
Publicado em: (2023)
Ep. 598: Audio Engineering as Prompt Engineering: Better Sound, Better AI
Por: Rosehill, Daniel, et al.
Publicado em: (2026)
Por: Rosehill, Daniel, et al.
Publicado em: (2026)
The Invisible Chaperone: The Secret World of System Prompts
Por: Rosehill, Daniel, et al.
Publicado em: (2026)
Por: Rosehill, Daniel, et al.
Publicado em: (2026)
Ep. 1086: Why AI Can't Stop Talking About Second Order Effects
Por: Rosehill, Daniel, et al.
Publicado em: (2026)
Por: Rosehill, Daniel, et al.
Publicado em: (2026)
The Transformer Trinity: Why Three Architectures Rule AI
Por: Rosehill, Daniel, et al.
Publicado em: (2026)
Por: Rosehill, Daniel, et al.
Publicado em: (2026)
Ep. 1111: The Architecture of Intelligence: Beyond the Transformer
Por: Rosehill, Daniel, et al.
Publicado em: (2026)
Por: Rosehill, Daniel, et al.
Publicado em: (2026)
Ep. 651: Decoding the Blueprint: An Expert Guide to AI Model Cards
Por: Rosehill, Daniel, et al.
Publicado em: (2026)
Por: Rosehill, Daniel, et al.
Publicado em: (2026)
Ep. 111: Beyond Transformers: Solving the AI Memory Crisis
Por: Rosehill, Daniel, et al.
Publicado em: (2025)
Por: Rosehill, Daniel, et al.
Publicado em: (2025)
The More You Tell It, The Less It Sees: Anchoring Bias in Vision-Language Models
Por: Dubey, Mradul
Publicado em: (2026)
Por: Dubey, Mradul
Publicado em: (2026)
Ep. 103: The Future of Coding: Is Your Brain Wired for AI?
Por: Rosehill, Daniel, et al.
Publicado em: (2025)
Por: Rosehill, Daniel, et al.
Publicado em: (2025)
Ep. 476: Beyond the Plateau: AI-Powered Language Mastery in 2026
Por: Rosehill, Daniel, et al.
Publicado em: (2026)
Por: Rosehill, Daniel, et al.
Publicado em: (2026)
LLM Token Estimation Benchmarks: Tokenizer Efficiency and Cost Analysis Across 17 Large Language Models
Por: Khare, Mohit
Publicado em: (2026)
Por: Khare, Mohit
Publicado em: (2026)
Ep. 170: The Heavy Metal of Machine Learning: Inside PyTorch
Por: Rosehill, Daniel, et al.
Publicado em: (2026)
Por: Rosehill, Daniel, et al.
Publicado em: (2026)
Ep. 1080: Beyond the Prompt: Mapping the Future of Claude Opus
Por: Rosehill, Daniel, et al.
Publicado em: (2026)
Por: Rosehill, Daniel, et al.
Publicado em: (2026)
Why AI Can't Simulate Extreme Decision-Making
Por: Rosehill, Daniel, et al.
Publicado em: (2026)
Por: Rosehill, Daniel, et al.
Publicado em: (2026)
Ep. 23: AI's Blind Spot: Data, Bias & Common Crawl
Por: Rosehill, Daniel, et al.
Publicado em: (2025)
Por: Rosehill, Daniel, et al.
Publicado em: (2025)
Ep. 713: The AI Cyber Frontier: Israel as a Global Testing Ground
Por: Rosehill, Daniel, et al.
Publicado em: (2026)
Por: Rosehill, Daniel, et al.
Publicado em: (2026)
Perturbing LLM Attractors, Intentionally: The Thermodynamics of Human-AI Interaction
Por: Pourdavood, Parham
Publicado em: (2025)
Por: Pourdavood, Parham
Publicado em: (2025)
Local Large Language Models in R with Ollama
Por: Schweinberger, Martin
Publicado em: (2026)
Por: Schweinberger, Martin
Publicado em: (2026)
When AI Tells You What You Want to Hear: Sycophantic Behavior of Large Language Models in Dementia Care Settings
Por: Kolb, Christian
Publicado em: (2026)
Por: Kolb, Christian
Publicado em: (2026)
Reliability Inference Drives Cue Extraction in Large Language Models Consuming External Reasoning Traces
Por: HIDEKI
Publicado em: (2026)
Por: HIDEKI
Publicado em: (2026)
Theatrical Compliance: A Failure Mode in Large Language Models
Por: Nowickij (Navitski), Kirill Vladimirovich
Publicado em: (2026)
Por: Nowickij (Navitski), Kirill Vladimirovich
Publicado em: (2026)
Ep. 869: Why Tiny Digital Savants Are Outperforming God-Models
Por: Rosehill, Daniel, et al.
Publicado em: (2026)
Por: Rosehill, Daniel, et al.
Publicado em: (2026)
REAL-AI-Benchmark: Real-World Reasoning and Physical-AI Benchmark Suite
Por: Ivković, Jovan
Publicado em: (2026)
Por: Ivković, Jovan
Publicado em: (2026)
31. DATASET COMPLETO DE EVALUACIONES CRUZADAS RFC-EVAL-001 – 6 SISTEMAS DE IA (ENERO 2026).
Por: Bernal Díaz, Víctor Cristóbal
Publicado em: (2026)
Por: Bernal Díaz, Víctor Cristóbal
Publicado em: (2026)
Ep. 1108: Beyond the Emoji: How Hugging Face Conquered AI
Por: Rosehill, Daniel, et al.
Publicado em: (2026)
Por: Rosehill, Daniel, et al.
Publicado em: (2026)
TSB: A Time-Saved Benchmark for AI Systems — Measuring Net Productivity Impact Across Knowledge Work
Por: Shalom Lijo, Solomon
Publicado em: (2026)
Por: Shalom Lijo, Solomon
Publicado em: (2026)
Modular Ebbinghaus Benchmark for LLMs and Human Participants
Por: Cohen, Yann
Publicado em: (2026)
Por: Cohen, Yann
Publicado em: (2026)
Not Prompt Engineering—Prompt Alchemy: Inducing Sub-Personality Emergence in GPT-4 Without Fine-Tuning
Por: Wu, Ling
Publicado em: (2025)
Por: Wu, Ling
Publicado em: (2025)
Benchmark run results by Abhinav Gorantla, on benchmark context Tuning PC v3
Por: Abhinav Gorantla
Publicado em: (2026)
Por: Abhinav Gorantla
Publicado em: (2026)
Benchmark run results by Ertugrul Coban, on benchmark context Tuning PC v2
Por: Ertugrul Coban
Publicado em: (2025)
Por: Ertugrul Coban
Publicado em: (2025)
Benchmark run results by Abhinav Gorantla, on benchmark context CB-StaticDiscovery v1
Por: Abhinav Gorantla
Publicado em: (2025)
Por: Abhinav Gorantla
Publicado em: (2025)
Benchmark run results by Abhinav Gorantla, on benchmark context Benchmark: VAR-LiNGAM, PCMCIplus v3
Por: Abhinav Gorantla
Publicado em: (2025)
Por: Abhinav Gorantla
Publicado em: (2025)
Benchmark run results by Pratanu Mandal, on benchmark context Tutorial: Static Causal Discovery (Scenario 3) v1
Por: Pratanu Mandal
Publicado em: (2026)
Por: Pratanu Mandal
Publicado em: (2026)
Benchmark run results by Pratanu Mandal, on benchmark context Tuning PC v3
Por: Pratanu Mandal
Publicado em: (2025)
Por: Pratanu Mandal
Publicado em: (2025)
Benchmark run results by Pratanu Mandal, on benchmark context Tuning PC v3
Por: Pratanu Mandal
Publicado em: (2026)
Por: Pratanu Mandal
Publicado em: (2026)
Benchmark run results by Ertugrul Coban, on benchmark context Tuning PC v3
Por: Ertugrul Coban
Publicado em: (2025)
Por: Ertugrul Coban
Publicado em: (2025)
Benchmark run results by Abhinav Gorantla, on benchmark context Tutorial: Static Causal Discovery (Scenario 3) v1
Por: Abhinav Gorantla
Publicado em: (2025)
Por: Abhinav Gorantla
Publicado em: (2025)
Benchmark run results by Shu Wan, on benchmark context PC Hyperparameter Tuning v2
Por: Shu Wan
Publicado em: (2025)
Por: Shu Wan
Publicado em: (2025)
Beyond Buttons: Is the Admin Dashboard Dead?
Por: Rosehill, Daniel, et al.
Publicado em: (2026)
Por: Rosehill, Daniel, et al.
Publicado em: (2026)
Registos relacionados
-
Prompt Engineering: a methodology for optimizing interactions with AI-Language Models in the field of engineering
Por: Juan David Velásquez-Henao
Publicado em: (2023) -
Ep. 598: Audio Engineering as Prompt Engineering: Better Sound, Better AI
Por: Rosehill, Daniel, et al.
Publicado em: (2026) -
The Invisible Chaperone: The Secret World of System Prompts
Por: Rosehill, Daniel, et al.
Publicado em: (2026) -
Ep. 1086: Why AI Can't Stop Talking About Second Order Effects
Por: Rosehill, Daniel, et al.
Publicado em: (2026) -
The Transformer Trinity: Why Three Architectures Rule AI
Por: Rosehill, Daniel, et al.
Publicado em: (2026)