BLOOM VS Magic opt-in for Email Marketing

Compare BLOOM VS Magic opt-in for Email Marketing and see what are their differences

Momen

Build powerful web apps, and create your custom AI apps, no code needed! featured

Contents:

» Base Details
» Videos
» Reviews
» Alternatives

BLOOM

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.

Magic opt-in for Email Marketing

Confirm your email subscribers with any link

Landing page //
2023-04-30

Landing page //
2023-06-08

Bloom Greens Review | Dietitian Analyzes the Popular Drink

Magic opt-in for Email Marketing videos

No Magic opt-in for Email Marketing videos yet. You could help us improve this page by suggesting one.

+ Add video

Category Popularity

0-100% (relative to BLOOM and Magic opt-in for Email Marketing)

Magic opt-in for Email Marketing

Health And Fitness

100 100%

Health And Fitness

0% 0

Popups

0 0%

Popups

100% 100

Productivity

100 100%

Productivity

0% 0

Form Builder

0 0%

Form Builder

100% 100

User comments

Share your experience with using BLOOM and Magic opt-in for Email Marketing. For example, how are they different and which one is better?

Reviews

These are some of the external sources and on-site user reviews we've used to compare BLOOM and Magic opt-in for Email Marketing

BLOOM Reviews

Top 31 ChatGPT alternatives that will blow your mind in 2023 (Free & Paid)

For example, some of the other popular conversation AI tools include Chatsonic, DialoGPT, Chinchilla, Bloom, LaMDA, and Jasper Chat. Each offers different features and capabilities, so it's important to understand the different tools and their strengths.

Source: writesonic.com

Magic opt-in for Email Marketing Reviews

We have no reviews of Magic opt-in for Email Marketing yet.
Be the first one to post

Social recommendations and mentions

Based on our record, BLOOM seems to be more popular. It has been mentiond 5 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

BLOOM mentions (5)

How feasible would it be to build a pc for higher parameter models like (quantized) Bloom 176b?
According to https://huggingface.co/bigscience/bloom it has 70 layers, so that's not a perfect split, but even so that should still fit. Source: 11 months ago
Do Foundation Model Providers Comply with the EU AI Act?
It's notable that Hugging Face's BLOOM (https://huggingface.co/bigscience/bloom) might already be compliant (ignoring the 'member states' requirement which I'm sure they could comply with easily enough, it's about disclosing EU member where the model is on the market, so them simply listing all EU countries in a doc somewhere may suffice). Some may be tempted to point at the lower scores of OpenAI, Google and... - Source: Hacker News / 11 months ago
Ask HN: Where to start in playing with open source generative AI models?
I've been reading a lot of the latest posts on hacker news, but a little lost on where to actually start. I'd like to run something on my local macbook pro to play around and does anyone have recommendation of like a top 5 links of who to follow and what to play with? So far I've seen things like https://huggingface.co/bigscience/bloom. - Source: Hacker News / 11 months ago
The greatest risk of AI is from the people who control it, not the tech itself
They do, and they did. It's called BLOOM and it comes in sizes up to 176B parameters. See: https://huggingface.co/bigscience/bloom. - Source: Hacker News / 11 months ago
[D] Layers of neurons in LLMs?
ChatGPT is a GPT-3.5 model according to OpenAI Docs. So it has 175 billion parameters. For the architecture, people said BLOOM is likely the nearest alternative to GPT-3/3.5 models. Source: 12 months ago

Magic opt-in for Email Marketing mentions (0)

We have not tracked any mentions of Magic opt-in for Email Marketing yet. Tracking of Magic opt-in for Email Marketing recommendations started around Mar 2021.