I'm Harrison, co-founder and CEO of LangChain, where we build developer tools to simplify application development with large language models (LLMs).

The introduction of large language models (LLMs) provides a language interface for robots, allowing for easier task descriptions and enabling robots to perform generic tasks more effectively.

The Llama models broke open the open-source AI movement, and we want to ensure that large companies discuss business arrangements with us before using our models commercially.

Large Language Models (LLMs) function like a new operating system, being developed by labs and distributed like utilities, reminiscent of computing in the 1960s.

The advancements in large language models (LLMs) have enabled a language interface for robots, allowing them to perform a wider range of tasks more efficiently, such as laundry folding and packing egg crates.

We've entered the era of 'Software 3.0,' where large language models (LLMs) serve as a new kind of computer, programmed in English.

Many highly skilled professionals are leaving their jobs to start new ventures because they believe large language models (LLMs) are powerful tools for innovation.

I'm a founder at OpenAI, focusing on robotics and the application of deep learning in this field.

The trend of using engineers for marketing tasks was already underway before large language models (LLMs) became popular, as seen in my experience with Triplebyte.