LLM - SerpApi

Why is Ruby on Rails a great fit for AI agents

Ruby on Rails happens to excel at all things that matter in agentic programming. Token efficiency, predictability, and ecosystem ergonomics makes Rails one of the best choice for robots as it once was for humans.

YouTube

Scrape and Analyze Video Transcripts from Youtube Using Python and llama3

Find out how to scrape video transcripts for any Youtube video. This is a powerful way to unlock deeper content analysis like searching for specific words, summarizing video content, and analyzing sentiment across videos.

No Code

No-code Solutions for Turning Search Results Into Markdown for LLMs

Intro In my last post, I walked through a coding solution in which we used Node.js to scrape webpages returned in Google Search results and parse them to Markdown for use in LLMs or other use cases. Today, we will do something similar, but we will utilize no-code

google search

Turning Search Results Into Markdown for LLMs

Intro This article will walk through converting search results into Markdown format, suitable for use in large language models (LLMs) and other applications. Markdown is a lightweight markup language that provides a simple, readable way to format text with plain-text syntax. Checkout Markdown Guide for more information: Markdown GuideA

LLM

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

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

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

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Company

Pricing