Analysez les liens partagés par Deep Papers

Le réseau social que ce podcast cite le plus est Twitter (3 liens uniques). Une autre source qu'il mentionne souvent est LinkedIn (2 liens). Le lien le plus cité au total est un lien LinkedIn, mentionné 60 fois. Tout ce qui précède provient directement des descriptions publiques rédigées par les créateurs eux mêmes. Nous n'ajoutons, ne retirons ni ne supposons rien.

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Le tableau ci dessous liste chaque lien, le nombre de fois où Deep Papers l'a utilisé, ainsi que les autres podcasts ayant cité ce même lien.

Lien	#	Autres mentions
https://www.linkedin.com/company/arizeai/	60
https://twitter.com/arizeai	60
https://arize.com/community/	60
https://arize.com/llm-evaluation/	57
https://arize.com/ai-research-papers/	8
https://arize.com/blog/lost-in-the-middle-how-language-models-use-long-contexts-paper-reading/	4
https://arize.com/ai-research-papers	4
https://arize.com/blog/a-deep-dive-into-generatives-newest-models-mistral-mixtral-8x7b/	2
https://arize.com/ml-observability/	2
https://arize.com/blog/how-to-prompt-llms-for-text-to-sql-paper-reading/	2
https://arize.com/blog/hyde-paper-reading-and-discussion/	2
https://arize.com/blog/explaining-grokking-through-circuit-efficiency-paper-reading/	2
https://openai.com/blog/instruction-following/	2
https://arize.com/resource/community-papers-reading/	2
https://arize.com/blog/anthropic-claude-3/	2
https://arize.com/blog/breaking-down-evalgen-who-validates-the-validators/	2
https://arize.com/blog/large-content-and-behavior-models-paper-reading/	2
https://mobile.twitter.com/ai__pub	2
https://arxiv.org/abs/2404.12272	2
https://arize.com/blog/rankvicuna-paper-reading/	2
https://arize.com/blog/decomposing-language-models-with-dictionary-learning-paper-reading/	2
https://arize.com/blog/phi-2-model	2
https://arize.com/blog/orca-progressive-learning-from-complex-explanation-traces-of-gpt-4-paper-reading/	2
https://arize.com/blog/exploring-openai-o1-preview-and-o1-mini	2
https://youtu.be/Oyk_ifMqruQ?si=eRv7yPK1jvhFf9xK	1
https://www.anthropic.com/news/model-context-protocol	1
https://arize.com/blog/swarm-openai-experimental-approach-to-multi-agent-systems/	1
https://arize.com/blog/llm-as-judge-survey-paper/	1
https://arize.com/blog/llama-2-open-foundation-and-fine-tuned-chat-models-paper-reading/	1
https://arize.com/blog/training-large-language-models-to-reason-in-continuous-latent-space/	1
https://arize.com/blog/multiagent-finetuning-a-conversation-with-researcher-yilun-du/	1
https://arize.com/blog/how-deepseek-is-pushing-the-boundaries-of-ai-development/	1
https://twitter.com/aparnadhinak/status/1766161976529711298	1
https://arize.com/llm-hallucination-dataset/	1
https://www.letta.com/blog/sleep-time-compute	1
https://arxiv.org/pdf/2505.05315	1
https://arxiv.org/abs/2505.10938	1
https://www.youtube.com/watch?v=b-A8bHH7JGs	1
https://www-cdn.anthropic.com/de8ba9b01c9ab7cbabf5c33b80b7bbc618857627/Model_Card_Claude_3.pdf	1
https://arize.com/blog/ai-benchmark-deep-dive-gemini-humanitys-last-exam/	1
https://arize.com/blog/skeleton-of-thought-llms-can-do-parallel-decoding-paper-reading/	1
https://arize.com/observe-2025/	1
https://arize.com/blog/trustworthy-llms-a-survey-and-guideline-for-evaluating-large-language-models-alignment/	1
https://arize.com/blog/model-context-protocol/	1
https://arize.com/blog/raft-adapting-language-model-to-domain-specific-rag/	1
https://arize.com/blog/dspy-assertions-computational-constraints/	1
https://arize.com/blog/breaking-down-meta-llama-3/	1
https://arize.com/blog/judging-the-judges-llm-as-a-judge/	1
https://arize.com/blog/the-geometry-of-truth-emergent-linear-structure-in-llm-representation-of-true-false-datasets-paper-reading/	1
https://arize.com/blog/composable-interventions-for-language-models/	1

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