Digital transformation, AI, manufacturing and automation expert ex-McKinsey and Microsoft
Everyone is excited about GenAI and LLMs, and rightfully so. The market for Large Language Models (LLMs) is vast and dynamic, with numerous players contributing across different parts of the solution stack. This article by Crystal Liu provides an insightful overview of the LLM training landscape, highlighting the diversity and complexity of this field. From foundational model providers to fine-tuning specialists, and from cloud infrastructure giants to bespoke solution developers, the ecosystem is rich with innovation and expertise. Key areas: * Foundational Models: Developed by tech giants like OpenAI, Google, and Meta, these models serve as the base for a myriad of applications. * Infrastructure: Cloud providers such as AWS, Google Cloud, and Azure play a critical role in providing the computational power required for training and deploying these models. * Fine-Tuning & Customization: Specialized companies focus on adapting these foundational models to specific industries or tasks, ensuring relevance and efficiency. * Tooling & Ecosystem: An array of tools and frameworks support the development and deployment of LLMs, making the technology more accessible to a broader range of developers and organizations. Check out the full article to dive deeper into the specifics of how LLMs are trained: [LLM Explained: The LLM Training Landscape](https://lnkd.in/efXdvjwa). It's an exciting time to be involved in this field, as the potential applications and innovations continue to expand! 🚀 #AI #MachineLearning #LLM #Technology #Innovation #DataScience
