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19 results for “openai alternatives”
Company326 mentions across episodes
OpenAI
...OpenAI spend at the beginning at the end of last year in November '23 was close to 90% of total volume.
4:01 / 5:06
from transcript4:01 – 5:06
outhire you. MetaView customers close roles 30% faster. Try MetaView today and get a free month of sourcing at metaview.ai/20vc. After meta view captures what was said, Turing helps you build with the people who can deliver after it. Frontier Labs ke
2:58 / 4:06
from transcript2:58 – 4:06
...source alternatives to the closed source proprietary models. On the other hand, they're all coming from China. Now there were some American efforts that have been important. So Meta, most notably, has invested billions and billions of dollars in LAMA
49:26 / 50:33
from transcript49:26 – 50:33
They proactively find candidates. They take interview notes automatically, and they help you surface the best candidates in process. For the first time, AI handles the recruiting toil and gives you a single source of truth. That means hours saved per
1:01:18 / 1:02:34
from transcript1:01:18 – 1:02:34
In 2023, only five names were playing in the top LLM ranks, Mistral, Mosaics MPT, TII UAE's Falcon, Yi from Kaifu Lee's zero one dot ai, and, of course, Meta's llama one and two. This year, a whole cast of new open models have burst on the scene, fro
1:27 / 2:33
from transcript1:27 – 2:33
But, in general, like, if you are if you care a lot about intervention to do on this model, which is my, preferred area of of research, then, you know, the resources that you need, are quite quite significant. One of the trends, that has emerged in 2
14:59 / 16:10
from transcript14:59 – 16:10
...And the OpenAI spend at the beginning at the end of last year in November '23 was close to 90% of total volume. And today, less than a year later, it's closer to 60% of total volume, which I think is indicative both that language models are pretty ea
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from transcript4:44 – 5:48
...OpenAI API. They are studying you. Remember, Sam Altman's been around the block. I've known him since
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from transcript49:27 – 50:32
...OpenAI's terms of service say that you cannot build a competitor without puts from their model. Terms of service are different than a license, which are essentially a contract between organizations. So if you have a terms of service on OpenAI's accou
3:36:37 / 3:37:47
from transcript3:36:37 – 3:37:47
...OAN or OpenAI four o works better. And it's always trade offs between accuracy and speed and all kinds of things. Actually, a lot of the time when we're decomposing a task, we'll use mixes of OpenAI, anthrobiq, even Gemini. Do you think we live in a
36:42 / 37:48
from transcript36:42 – 37:48
selfishly, I'll promote a bunch of, like, Western companies. So both in The US and Europe have these, like, fully open models. So I work at Allen Institute for AI. We've been building Omo, which releases data and code and all of this. And now we have
44:13 / 45:26
from transcript44:13 – 45:26
...OpenAI released their first open model since GPT two. That was when I when I meant talked when I was writing about OpenAI's open model release, they're all like, don't forget about GPT two, which I thought was really funny because it's just such a di
43:31 / 44:31
from transcript43:31 – 44:31
...know, OpenAI came out first. But are you looking at the other models and low balancing beside them and actually thinking like people did in year five, six, and seven of, you know, their cloud spend. Years one through five, you're like, this is amazin
41:59 / 43:00
from transcript41:59 – 43:00
...OpenAI. But OpenAI is not a model company. They're a they're a platform company. They're a software company. How would you differentiate between a model company and a platform company then? Like Well, so somebody who just does the model, take Llama o
1:14:57 / 1:16:01
from transcript1:14:57 – 1:16:01
...cheaper than OpenAI and Anthropic. The problem is that when we use our coding tools, they route through Anthropic, which is fine because Anthropic is excellent, but it's really expensive. The difficulty that you have is that when you have all this le
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from transcript46:29 – 47:31
...OpenAI are not ahead. There's this third being, which is actually far more significant and we haven't taken notice of and summarized. That was triggered by Lama, which is the model that was put together by my, my colleagues at FAIR, which was the cod
19:12 / 20:36
from transcript19:12 – 20:36
...in The US, like, the the heavy hitters, OpenAI, Gemini, Anthropic,
31:28 / 32:30
from transcript31:28 – 32:30
...OpenAI, Gemini, Anthropic, and XAI. And, and we're starting to see, like, a a longer, tail of midsize language models that specialize on specific types of tasks. Models are being used more frequently in long running jobs. This would this could be, li
32:15 / 33:27
from transcript32:15 – 33:27
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