LLM - SerpApi

I wish Google worked this way

LLMs are extremely effective at summarizing content. While hallucination remains a critical problem, the current stage of OpenAI’s GPT-4 is already useful for many tasks. One improvement I wish Google would implement is the ability to ask follow-up questions. This could be useful when quickly scanning through restaurant reviews.

LLM

OpenAI GPT-4 vs Groq Mixtral-8x7b

A few months ago, we ran a benchmark on a traditional parser and Mistral 7B (Open Source LLM). The quality of the parsed result from Mistral 7B is quite impressive given it is only 7B parameters. One thing we weren't satisfied with is the processing time. Recently, I

LLM

Traditional Parser vs Open Source LLM Parser (Mistral 7B)

At SerpApi, we are always looking for methods to improve our web scraping parser to better serve our customers. Previously, we have experimented with Machine Learning for parsing and make a comparison against our traditional parser. This time, we're turning our attention to Large Language Models (LLMs) to

AI Technology

Unlocking Insights: Analyzing Google Reviews with LLMs

Customer reviews have become an integral part of the decision-making process for consumers. When it comes to understanding the reputation and quality of a business, Google Reviews serve as a valuable source of information. However, analyzing and extracting meaningful insights from a large volume of reviews can be a time-consuming

serpapi

LLMs vs SerpApi: A Comparative Analysis of the Webscraping Capabilities

In this writing, we are going to compare current Open Source and Paid Large Language Models, ChatGPT and SerpApi for a technical task that requires a precise and fast solution. We will make a comparison by extracting different parts of the visible text from Google Local Results.

APIs

Easy Integrations

Features

Use Cases