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Icypeas's answer:
Icypeas has an unparalleled capacity to verify catch-all emails. It allows you to reach out to untapped leads.
Icypeas's answer:
Icypeas is a good choice if you care about email discovery rate and bounce rate.
Honest drawbacks: - we are not an all-in-one platform like Apollo.io, which is a lead database, an enrichment tool and an outreach solution, whereas Icypeas focusses on enrichment only. - our response time (for an email search) is between 1 and 5 minutes. It is longer than all our competitors. This is true for single searches, not for bulk searches. When it comes to bulk searches, we are way faster than the competition (because we have a huge capacity to parallelize requests).
Icypeas's answer:
Salespeople in B2B SaaS companies and lead generation agencies.
Icypeas's answer:
Node.js, Vue.js, Elasticsearch, MongoDB. We plan to replace Node with Rust soon.
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.
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
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
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
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
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
Sai Kambampati - Software engineer, and app developer.
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