?? Build an LLM app

?? Build an LLM app

APPLE GPT (WIP)

According to a report from Bloomberg’s Mark Gurman, Apple is racing to catch up with OpenAI and Google. Internally, their new chatbot is apparently being called ‘Apple GPT.' As Danny Lev pointed out , “Apple's focus on privacy could be a big advantage in the AI race.” What do you think ?


PRODUCT HIGHLIGHT

Production-grade LLM apps for a

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LangChain’s new developer platform is a milestone on the road to democratizing access to the tools needed to build the new era of LLM-powered applications.

Let's take a step back: LLMs—aka large language models—refer to the type of software that powers products like ChatGPT , Bard , and Bing .

An LLM is ‘large’ in the sense that it is trained on massive datasets; ‘language’ in that it can ‘understand’ and ‘respond’ in the same ways humans communicate; and a ‘model’ in that it is trained to make predictions based on the patterns it finds in its training data.

Wrangling complexity: LLMs are good at a number of very useful things—including text generation, translation, and summarization—and tech companies make their LLMs available to independent makers via APIs like Google’s PaLM or Meta’s Llama , but that doesn’t mean developing new products with these LLMs isn’t still extremely complex.

Thanks to new developer platforms like LangSmith , makers can now more easily build, deploy, debug, test, evaluate, and monitor their LLM apps, without having to build that tooling in-house.

For the love of tinkering: “We started with an open-source Python package when the main blocker for building LLM-powered applications was getting a simple prototype working. We remember seeing Nat Friedman tweet in late 2022 that there was “not enough tinkering happening,” says LangChain’s launch announcement .

Less than a year later, “people are building everything from chatbots over internal company documents to an AI dungeon master for a Dungeons and Dragons game […] We see lots of tinkering happening now (Nat agrees ).”

Start tinkering


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