Why Google Gemini is the best choice for LLM evals (LLM as a judge)
In a recent article, Simon Willison wrote this In my opinion, Google Gemini models make great choices for LLM evals
In a recent article, Simon Willison wrote this In my opinion, Google Gemini models make great choices for LLM evals
We are interested in extracting the AGE information from a VAERS writeup. This must be an integer. Since there isn’t anything ambiguous about the age, we expect that this will be an easy task for the current generation of LLMs. Feeling cold; Chills and shivering; high sweating; This is a spontaneous report from a contactable…
The field called ONSET_DATE describes the date of onset for the earliest symptom (after vaccination). Here is an example Feeling cold; Chills and shivering; high sweating; This is a spontaneous report from a contactable physician, received from the Regulatory Authority, regulatory authority report number of v20100815 and v20100816, and also received information via System. A…
In this tutorial, I explain how to add a chatbot to your website using the Dialogflow Messenger integration. Create the Dialogflow intents First, create a new Dialogflow agent and add all your intents. Embed the chat widget into your website Once you have created all your intents, you can add it into your website. Embedding…
Here are some tips you can use to improve the accuracy of structured outputs from LLM. Note: you can use the Python instructor library to get structured outputs from nearly any Large Language Model. Use a more descriptive field name You can improve the accuracy of structured information extraction by providing a more descriptive field…
Last updated: 17 Jan 2025 Till early 2023, Dialogflow was probably the best framework for developing chatbots. Consider these three major changes after the wide adoption of Large Language Models like ChatGPT: 1 Chatbots are now being integrated with search – that is, they do not make a lot of sense as standalone apps. Google…