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.
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Which is more popular?
Based on our record, BLOOM
seems to be more popular. It has been mentioned
5 times
since March 2021.
social mentions
5 vs 0
Graphic Design Software popularity
100% vs 0%
alternatives listed
186 vs 1
Base details
Website, pricing, platforms and company facts side by side.
Open Access BLOOM is openly accessible to researchers and developers, allowing them to explore and use state-of-the-art language model capabilities without any restrictive limitations.
Multilingual Capabilities BLOOM is designed to be multilingual, supporting numerous languages which enhances its usability and inclusivity for non-English applications.
Research Collaboration Developed through the collaborative efforts of the BigScience project, BLOOM fosters a community-driven approach to AI research and encourages collective problem-solving.
Ethical Considerations The model is developed with ethical guidelines in mind, addressing concerns around bias and ensuring a more responsible deployment in various applications.
Cutting-edge Technology BLOOM leverages the latest advancements in NLP, providing users access to a model that performs well across a variety of complex language tasks.
Possible disadvantages
High Resource Consumption Running BLOOM requires significant computational resources, which can be a barrier for smaller organizations or individual developers with limited access to high-performance hardware.
Complexity Due to its size and capabilities, integrating and fine-tuning BLOOM can be complex and may require substantial expertise in machine learning and natural language processing.
Potential Bias Despite attempts to address bias, BLOOM, like other large language models, may still exhibit biases present in its training data, posing challenges for ensuring fairness in its outputs.
Latency Real-time applications may experience latency issues due to the model's large size and computational demands, affecting performance in time-sensitive tasks.
Environmental Impact The computational intensity required to utilize and train such extensive models contributes to a larger carbon footprint, raising concerns about their environmental sustainability.
Likely focused on expense splitting Based on the name, Splitaha appears to be a bill or expense-splitting tool. I could not access or verify the site, so confirm this on splitaha.com. If it is, a tool built for one purpose is usually simpler than a general finance app.
Potential convenience for group costs Expense-splitting apps generally replace manual spreadsheets and chat arithmetic for trips, roommates and shared meals. Check whether Splitaha offers features such as automatic balance calculation or simplified debts.
Possible low barrier to entry Many apps in this category have free tiers or need no complicated setup. I have not verified Splitaha's pricing or onboarding, so check them directly.
Possible disadvantages
Unverified information I could not browse the site or find reliable details about Splitaha, so any feature claims here are assumptions. Check the site itself before relying on them.
Limited track record or reviews I found no established user reviews, so I cannot confirm its reliability, popularity or support quality. Look for independent reviews and app store ratings.
Unknown data privacy and security Apps that handle shared financial details should state clearly how they store and protect data. Review Splitaha's privacy policy and security practices before entering sensitive information.
Unknown payment and integration support It is unclear whether Splitaha supports settling up through payment services, multiple currencies or exports. Established competitors such as Splitwise offer some of these, so compare features before committing.
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...
Recommendations tracked on public social media and blogs since March 2021.
BLOOM5 mentionsSplitaha0 mentions
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:
over 3 years 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...
- Source: Hacker News
/
over 3 years 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...
- Source: Hacker News
/
over 3 years ago
Splitwise is a free tool for friends and roommates to track bills and other shared expenses, so that everyone gets paid back. On the web, iPhone, and Android!
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