Tensorlabbet

In this post: SFT and RLVR on Swedish MedQA (10 min read) To practice medicine in Sweden, foreign medical doctors who want to validate their license are first required to pass a multiple-choice test.

In this post: LLM self-hosting and serving with vLLM and SGLang (8 min read) As the ecosystem around open-weight LLMs expands, so do its options for inference serving.

In this post: A survey of the open LLM ecosystem (7 min read) Leading model providers like Anthropic, OpenAI and xAI have been pushing the envelope by developing ever more capable Large Language Models (LLMs).

In this post: A reality check from leading researchers (6 min read) In the heat of the ongoing AI summer, a chilling effect is starting to spread from the growing cracks between marketing claims and the underlying technology.

In this post: A look back at pioneering thoughts on AI research (7 min read) I recently stumbled upon a research proposal that must have raised a lot of eyebrows and received widespread attention in machine learning circles: ‘We propose that a 2 month, 10…

In this post: A book review (5 min read) In January this year, Chip Huyen published her newest book ‘AI Engineering’, which quickly made waves online.

In this post: From Fully Convolutional Networks to TotalSegmentator (10 min read) Amidst the ongoing hype around the growing capabilities of large language models, it can be curious to note how earlier predictions about machine learning have stood the test

In this post: An attempt to reconstruct Ilya Sutskever's 2020 AI reading list (8 min read) I recently shared a summary of a viral AI reading list attributed to Ilya Sutskever, which laid claim to covering ‘90% of what matters’ back in 2020.

In this post: Ilya Sutskever's AI Reading list in ~120 words per item (15 min read) Earlier this year, a reading list with about 30 papers was shared on Twitter.