RT @arankomatsuzaki: Text2Reward: Automated Dense Reward Function Generation for Reinforcement Learning proj: text-to-reward.github.io abs: arxiv.org/abs/2309.11489 pic.twitter.com/zqoUnxY4i1
posted at 08:39:48
RT @npaka123: Google Colab で DeepSpeed によるLLMのフルパラメータの指示チューニングを試す｜npaka @npaka123 #note note.com/npaka/n/n17e80…
posted at 08:27:09
RT @_akhaliq: Open AI releases GPT-4V(ision) system card paper: cdn.openai.com/papers/GPTV_Sy… GPT-4 with vision (GPT-4V) enables users to instruct GPT-4 to analyze image inputs provided by the user, and is the latest capability we are making broadly available. Incorporating additional modalities… twitter.com/i/web/status/1… pic.twitter.com/NTEo8VgEi0
posted at 08:12:23
RT @jerryjliu0: In the past few weeks we’ve created a ton of features/tutorials on “advanced retrieval techniques” for better performing RAG systems. “Okay cool, but how do I know they do better than top-k?” 🤔 Great point. We’re launching an initiative to add retrieval/LLM evals to *all* of… twitter.com/i/web/status/1… pic.twitter.com/jY6B5twIYS
posted at 08:11:19
【LLM for NewsRec】大規模言語モデル(BERT)を活用したニュース推薦のPyTorchによる実装と評価｜矢田宙生 / Yada Yuki zenn.dev/yukiyada/artic… #zenn
posted at 07:56:41