


Fitting a language model into a chatbot is easy, and made it possible for millions to use them. But chatbots aren’t really a good user interface. The importance of user interface design for AI has never been properly appreciated.Chapters are being added as they are completed. Langchain: The Missing Manual has been published online by the makers of PineconeDB, a vector database that is frequently used with Langchain to build complex applications on top of large language models.TechTalks has a good explanation of LoRA (Low Rank Adaptation), a technique for fine-tuning large language models that is less time- and processor-intensive.To answer a query, relevant data is found in the vector store and used to build a prompt for the LLM. A new AI stack is emerging, using LLMs as endpoints and vector stores for local data.Unsurprisingly, Microsoft is adding plugins to its AI services, using the same API. OpenAI has added plug-ins (including web search) to its ChatGPT Plus product.PaLM 2 is included, but not the larger LLaMA models. LMSYS ORG (Large Model Systems Organization), a research cooperative between Berkeley, UCSD, and CMU, has released ELO ratings of large language models, based on a competitive analysis.Get a free trial today and find answers on the fly, or master something new and useful.

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