According to DeepLearning.AI, Thinking Machines Lab has introduced Tinker, an API designed to enable developers to fine-tune open-weights large language models (LLMs) such as Qwen3 and Llama 3 with the simplicity of single-device operation. Tinker automates complex processes like multi-GPU scheduling, model sharding, and crash recovery, significantly reducing the technical barrier for enterprise AI teams and startups aiming to customize state-of-the-art models. This advancement streamlines AI development workflows, accelerates time-to-market for AI solutions, and addresses key infrastructure challenges in deploying scalable generative AI systems (source: DeepLearning.AI, Oct 24, 2025).

According to @AIatMeta, Meta has officially announced the first cohort of its Llama Startup Program after receiving over 1,000 applications, highlighting the significant interest and momentum in the application of Llama 3 and generative AI models. This inaugural group of early-stage startups will gain access to advanced AI tools and support, enabling them to develop new products and services powered by Meta’s open-source Llama models. The program is designed to accelerate AI-driven business solutions across industries, fostering innovation in sectors such as healthcare, education, and enterprise automation using Llama 3’s capabilities (Source: @AIatMeta, June 17, 2025).