Sequoia Capital's AI investment revealed.
Sequoia Capital's AI investment strategy. As a well-known vC institution with a history of more than 50 years, Sequoia's investment strategy in the field of AI has the following characteristics:
1. Long-term and continuous attention and investment in the field of AI, do not follow the trend, but according to the development trend of technology and market demand for precise layout.
2. Attach importance to institutional knowledge and professional capabilities in the field of AI, and establish a team of AI experts to provide technical guidance and support for the AI startups it invests.
3. Pay attention to communication and interaction with AI entrepreneurs, attract and select the best AI entrepreneurs, and take talent and technology as the core competitiveness.
5. Invest in AI globally. Not only in the United States, but also in emerging markets such as China and India, there are also a large number of AI startups. A well-known investment case in the field of Sequoia AI. Sequoia has invested in many great startups in the AI space, some of which have become industry leaders. Here are a few typical project examples.
OpenAI is a non-profit organization dedicated to the research and development of artificial general, intelligent AGI, co-founded by Elon Musk, QUEERSL and other well-known people. OpenAl has developed the GPT series of models, which is one of the most advanced natural language generative NLG technologies available. OpenAl is currently valued at nearly $30 billion.
Hugging Face is an open source machine learning community and company focused on the field of natural language processing NLP. Hugging Face provides an easy-to-use and high-performance NLP library that allows developers to quickly use and train various pre-trained models such as BERT, GPT-2, etc. Hugging Face is currently valued at $400 million.
A platform that provides AI development tools designed to make it easier for developers to build and deploy complex AI applications. LangChain leverages a large-scale language model, LLM, to generate code and provides a visual interface to help developers debug and optimize metabolism. LangChain is currently valued at more than $200 million.
