LangChain Announces 10M Seed Round
The place where I work was an early adopter of LLM, having started working on it a year ago.<p>When I build stuff with GPT-3, especially in the earlier days, I get the strong impression that it's like we are doing machine learning without Numpy and Pandas.<p>with LangChain, many of the systems I have built can be done in just one or two lines, making life much easier for rest of us. I also believe that LangChain's Agent framework is underappreciated as it was pretty ahead of its time until the official ChatGPT plugins were released. (contributed to LangChain a bit too.)<p>Unfortunately, the documentation is lacking indeed. While I understand the need to move quickly, it is not good that some crucial concepts like Customized LLM have inadequate documentation. (Perhaps having some LLM builds on top of the repo would be more effective than documentation at this point.)