Tinker
PulseAugur coverage of Tinker — every cluster mentioning Tinker across labs, papers, and developer communities, ranked by signal.
1 day(s) with sentiment data
-
Open AI ecosystems offer cost advantages through shared R&D
The majority of compute costs for developing frontier AI models are attributed to research and development rather than the final training phase. China's AI ecosystem, characterized by its open-first approach among leadi…
-
Mira Murati highlights AI model training infrastructure choices
Mira Murati shared a post from Brydon Eastman discussing the "taste" of AI models and their creators, specifically in relation to training infrastructure. The post humorously suggests that models, like their developers,…
-
Mira Murati highlights Mantic's work on calibrated predictions and supports AI education
Mira Murati, CTO of OpenAI, shared support for Mantic's work on calibrated predictions, highlighting their potential to transform decision-making. Mantic's new blog post details their methodology, which aims to build AI…
-
Thinking Machines launches Tinker, simplifying LLM fine-tuning for researchers
Thinking Machines has launched Tinker, a platform designed to simplify the process of fine-tuning language models for researchers and developers. The tool offers abstractions for writing experiments and managing distrib…
-
Thinking Machines launches Tinker API for flexible, distributed LLM fine-tuning
Thinking Machines has launched Tinker, a new API designed to simplify the fine-tuning of language models. The service allows developers to write training loops on their local machines, which are then executed on distrib…