At SerpApi, we help users scrape Google and other search engines. We have good amount of coverage on Google data, including, Google Search, Google Maps, Google Maps Reviews, Google Trends, Google Flights, Google Hotels, and many others. This give me the idea that I could build a simple DIY solution using the data we can access. - Source: dev.to / 16 days ago

The Google Search URL parameters are important to understand whether you are maximizing the conversion rate in your ad groups and optimizing your cost per click(CPC) rates in Google Analytics for your ad campaigns, improving your SEO(Search Engine Optimization) metrics for your e-commerce business, or collecting data for your social media project. Using custom parameters for your search will affect the Search... - Source: dev.to / 2 months ago

SerpApi | https://serpapi.com | Junior-to-Senior Fullstack Engineer | Customer Success Engineer | Based in Austin, TX but remote-first structure | Full-time | ONSITE or FULLY REMOTE | $150K - 180K a year 1099 for US or local avg + 20% for outside the US SerpApi is the leading API to scrape and parse search engine results. We deeply support Google, Google Maps, Google Images, Bing, Baidu, and a lot more. Our... - Source: Hacker News / 3 months ago

SerpApi - Real-time search engine scraping API. Returns structured JSON results for Google, YouTube, Bing, Baidu, Walmart, and many other machines. The free plan includes 100 successful API calls per month. - Source: dev.to / 5 months ago

This code needs two API keys: one for the OpenAI API (GPT-4 is used by the CrewAI "Agents" by default) and one for the SerpAPI (you can create an account for free). - Source: dev.to / 6 months ago

Many settings affect the outputs in interesting ways, but that's half the fun. These LoRAs are very lightly trained; more training may or may not help. The competitions are also performed using zero-shot text guessing, and if Facebook said it, you can bet that's actually Meta AI saying it, and they are leaders in the field. Source: over 1 year ago

You should look at the entire niche of MAE-related papers, that's quite exciting, and the neuroscience-inspired stream of stuff like Barlow Twins. As well, the official Facebook AI blog is surprisingly good coverage of much of the interesting un/semi-supervised DL research FAIR does, and worth going through. Source: almost 2 years ago