5 Free ChatGPT Competitors You Should Know About For 2023.

Use these amazing Deep Learning Models to automate tasks and get ahead.

Photo by Arseny Togulev on Unsplash

To start off this list, I will be sharing Meta’s version of the GPT, called the Open Pretrained Transformer, or OPT. The OPT has several exciting features that you make it a viable replacement for GPT. For example, when it comes to Zero-Shot NLP evaluation, OPT has pretty similar accuracy to the GPT model.

This focus on hate speech detection makes perfect sense, given Zucks Metaverse Aspirations. I analyzed how close they were here

To understand why the PaLM model is so amazing, we need to first understand the Pathways ecosystem. Pathways is the Google Architecture that creates all their Large Language Models. If you’re not interested in these details and want to get into the PaLM model directly, just scroll down a bit. The details are at the end of the section.

  1. Multi-Modal Training– Pathways models are trained on multiple types of data including video, picture, and text among others. This makes it very different from GPT, which is primarily text-based.
  2. Sparse Activation- Instead of using the entire architecture for every inference, only a subset of the neurons are used for any one task. As a result, your model can enjoy the benefits of lots of neurons(better performance, more tasks) while keeping running costs low. This was the stand-out component (according to me). I looked into various sparse activation algorithms and made a video on the most one promising here.
  3. Use of Multiple Senses- It’s one thing for a model to be able to take multiple types of inputs for different tasks. It’s much harder for a model to use multiple kinds of input for the same task. Models using the Pathways architecture are able to do this, giving them much larger flexibility.
Make sure you check out my newsletter for more insights into AI, Software, and the Tech Industry. The details about my newsletter will be at the end of the article.

Machine Learning researchers at Meta have released a new Large Language Model (LLM) called Sphere. With its amazing performance on search-related tasks, and ability to parse through billions of documents, combined with Meta’s other work in NLP, Meta has positioned itself well to disrupt the search market.

Tell me this isn’t getting you excited. Source- How AI could help make Wikipedia entries more accurate

As described on Hugging Face, “BLOOM is an autoregressive Large Language Model (LLM), trained to continue text from a prompt on vast amounts of text data using industrial-scale computational resources. As such, it is able to output coherent text in 46 languages and 13 programming languages that is hardly distinguishable from text written by humans. BLOOM can also be instructed to perform text tasks it hasn’t been explicitly trained for, by casting them as text generation tasks.

This was the video I made, first reporting on Bloom. If you’re looking to keep in touch with Machine Learning, my ML News Playlist would be good for you.

Lastly, we have another model by Meta. No, they haven’t paid me (although Zuck if you’re reading this, call me). Remember, how I mentioned how Sphere could be the Google for researchers? Well, Zuck wasn’t content with picking just one fight. He also had a ChatGPT equivalent, geared toward research people.

Use the links below to check out my other content, learn more about tutoring, reach out to me about projects, or just to say hi.

Source link


By Google News

Google News is a news aggregator platform. It presents a continuous, customizable flow of articles organized from thousands of publishers and magazines.

Leave a Reply

This site uses Akismet to reduce spam. Learn how your comment data is processed.