Perplexity.ai Reviews

1. MeganMills

   7 months ago
   Just upsides to this app

   this tool is powerful for article writing with sources already mentioned. just give him a topic/company name it will research for you everything about it. Really reliable tool.

   👍 Pros:    Speed|Quick response time

   👎 Cons:    Pro version
2. Support

   · Working at ZorexEye · about 3 years ago
   Cool and Awesome

   I just love it

Lambda Face Recognition API Reviews

Perplexity.ai mentions (65)

• GPT-fabricated scientific papers on Google Scholar

  > tried using ChatGPT to search for original sources That's a bad idea, do not do that. Regardless of the the knowledge contained in ChatGPT, it's completely wrong tool/tech - like using a jackhammer as a screwdriver. If your want original sources, then services like https://perplexity.ai can do it. - Source: Hacker News / almost 2 years ago

• Preview Release of the New Kagi Assistant

  Perplexity[0] is a service whose primary feature is this "assistant" style search, which is an auxiliary featyre for Kagi. [0] https://perplexity.ai. - Source: Hacker News / almost 2 years ago

• Google Now Defaults to Not Indexing Your Content

  You can get the sweet spot with https://perplexity.ai/ for many cases. It does the searches, aggregated answer, and the actual supporting links. It got back with "The URL for Alpine Linux's style guide for commit messages can be found in the README.md file of the aports repository on GitLab. The specific URL is: https://gitlab.alpinelinux.org/alpine/aports/-/blob/master/README.md" (+ extra links that include the... - Source: Hacker News / about 2 years ago

• Leveraging Perplexity AI for frontend development

  Your first step is creating your Perplexity AI account. Head over to Perplexity AI's website and click the Sign Up button: You'll be presented with a few convenient options to create your account: If you have a Google or Apple account, you can seamlessly connect it to Perplexity AI for a quick and secure signup. If you’d rather keep things separate, choose Continue with Email and follow the on-screen prompts to... - Source: dev.to / about 2 years ago

• How to Get Started with AI for Business

  Perplexity AI - Quickly search for and gather information. - Source: dev.to / over 2 years ago

Lambda Face Recognition API mentions (27)

• LLM Inference Optimization: Techniques That Actually Reduce Latency and Cost

  Setup time matters too. The delta between Runpod and bare-metal providers like Lambda Labs is large. Reaching an equivalent setup on a bare VM requires provisioning the instance, configuring the OS and CUDA drivers, installing Docker, setting up your orchestration layer (Kubernetes or Slurm), deploying your inference container, configuring autoscaling rules, and wiring up your load balancer. That’s a realistic... - Source: dev.to / 5 months ago

• Open Source vs Proprietary LLMs: The Real Cost Breakdown

  Let's do the math for a representative setup: GPT-OSS-120B via Together.ai ($0.15/$0.60) vs self-hosting on H100s from Lambda Labs at $2.99/hr ($2,183/mo). A single H100 running a 70B model produces roughly 50 tokens/second on average, which works out to about 130M tokens per month. - Source: dev.to / 6 months ago

• Show HN: San Francisco Compute – 512 H100s at <$2/hr for research and startups

  How does this compare to https://lambdalabs.com/. - Source: Hacker News / about 3 years ago

• Potato-ish PC Looking for suggestions - Local, Colab, Online?

  Another option is to pay for AWS server with a beefy GPU and enough RAM. It's not too cheap, but isn't expensive either if you aren't planning to run it 24/7. Or get a GPU cluster from a company that offers stuff for ML specifically, it might be easier to set up compared to AWS and in some cases cheaper. Like, for example, lambdalabs that offers H100 gpu for 2 bucks per hour. Source: about 3 years ago

• Something like FaceApp to help me visualize myself as a woman?

  I used some of the cloud GPUs on Vast.ai, but I also tried Lambda Labs, and these days I have my own docker container setup which can be deployed to a VM on Google Cloud and used more programatically. Source: over 3 years ago