Earlier quoted context omitted.
But that's how headlines work
The UK stopped capitalising every word in headlines back in the 1980s maybe earlier. It looks much nicer and is more readable. The bold tells you it is a geadline. US newspaper graphic design seems very retro to me.
ChatGPT for Teams
211–220 of 453 posts
Re: ChatGPT for Teams
#212I’ve got my stuff rigged to hit mixtral-8x7, and dolphin locally, and 3.5-turbo, and the 4-series preview all with easy comparison in emacs and stuff, and in fairness the 4.5-preview is starting to show some edge on 8x7 that had been a toss-up even two weeks ago. I’m still on the mistral-medium waiting list. Until I realized Perplexity will give you a decent amount of Mistral Medium for free through their partnership…
Here's a glossary to understand this post: - mixtral-8x7 or 8x7: Open source model by Mistral AI. - Dolphin: An uncensored version of the mistral model - 3.5-turbo: GPT-3.5 Turbo, the cheapest API from OpenAI - 4-series preview OR "4.5 preview": GPT-4 Turbo, the most capable API from OpenAI - mistral-medium: A new model by Mistral AI that they are only serving through AI. It's in private beta and there's a waiting li…
(but seriously: Thanks !)
Re: ChatGPT for Teams
#213Earlier quoted context omitted.
I have 20 years of software development experience, and I couldn’t understand anything you said. Is there a dictionary for this new lingo, or am I just too mid?
He speaks very unclearly, instead of saying GPT-4-turbo he says 4.5 preview. 4.5 is invention of his. Also mixtral medium - no idea of what he means by that. Not to mention a claim that mixtral is as good as gpt-4. It’s on the quality of gpt3.5 at best, which is still amazing for an open source model, but a year behind openai
"mixtral medium" is just a typo: he means mistral-medium.
And GPT 4.5 is certainly not an "invention of his". Whether it exists or not (which is debatable, OpenAI said it was just mentioned in a GPT 4 hallutination and caught on), it' s a version name thrown around for like a month in forums, blog posts, news articles and such.
Re: ChatGPT for Teams
#214I can see some good use cases - A custom gpt just trained on your code base can help you write test cases in your desired syntax. - A custom gpt trained on internal PRDs can help brainstorm better on the next set of features. Hoping to see something good come out of this
Use cases I see are common ones - basic usage of ChatGPT but admin can control access. Provides ability for companies to bill directly instead of reimbursements, and have more control over it. HR docs and policies can be a separate GPT. Though nothing which requires multi level access control.
Re: ChatGPT for Teams
#215I’ve got my stuff rigged to hit mixtral-8x7, and dolphin locally, and 3.5-turbo, and the 4-series preview all with easy comparison in emacs and stuff, and in fairness the 4.5-preview is starting to show some edge on 8x7 that had been a toss-up even two weeks ago. I’m still on the mistral-medium waiting list. Until I realized Perplexity will give you a decent amount of Mistral Medium for free through their partnership…
Here's a glossary to understand this post: - mixtral-8x7 or 8x7: Open source model by Mistral AI. - Dolphin: An uncensored version of the mistral model - 3.5-turbo: GPT-3.5 Turbo, the cheapest API from OpenAI - 4-series preview OR "4.5 preview": GPT-4 Turbo, the most capable API from OpenAI - mistral-medium: A new model by Mistral AI that they are only serving through AI. It's in private beta and there's a waiting li…
Re: ChatGPT for Teams
#216Earlier quoted context omitted.
tbh I expected serious downvotage
[flagged]
This is a classical joke about how nerds don't get romance/dating. People have been doing that since the time of Goethe.
Not something about bitter men who can't get laid and hate on women for it (which would be the incel case).
Re: ChatGPT for Teams
#217I’ve got my stuff rigged to hit mixtral-8x7, and dolphin locally, and 3.5-turbo, and the 4-series preview all with easy comparison in emacs and stuff, and in fairness the 4.5-preview is starting to show some edge on 8x7 that had been a toss-up even two weeks ago. I’m still on the mistral-medium waiting list. Until I realized Perplexity will give you a decent amount of Mistral Medium for free through their partnership…
I'm curious, because I'm gathering some usecases; so that I could share that internally in the company to provide better education on, what LLMs do and how they work.
Re: ChatGPT for Teams
#218Earlier quoted context omitted.
Here's a glossary to understand this post: - mixtral-8x7 or 8x7: Open source model by Mistral AI. - Dolphin: An uncensored version of the mistral model - 3.5-turbo: GPT-3.5 Turbo, the cheapest API from OpenAI - 4-series preview OR "4.5 preview": GPT-4 Turbo, the most capable API from OpenAI - mistral-medium: A new model by Mistral AI that they are only serving through AI. It's in private beta and there's a waiting li…
Did you just paste that into an LLM and asked it to create a glossary? :-P (but seriously: Thanks !)
Mixtral-8x7: This appears to be a technical term, possibly referring to a software, framework, or technology. Its exact nature is unclear without additional context.
Dolphin locally: "Dolphin" could refer to a software tool or framework. The term "locally" implies it is being run on a local machine or server rather than a remote or cloud-based environment.
3.5-turbo: This could be a version name or a type of technology. "Turbo" often implies enhanced or accelerated performance.
4-series preview: Likely a version or iteration of a software or technology that is still in a preview or beta stage, indicating it's not the final release.
Emacs: A popular text editor used often by programmers and developers. Known for its extensibility and customization.
Mistral Medium: This might be a product or service, possibly in the realm of technology or AI. The specific nature is not clear from the text alone.
Perplexity: Likely a company or service provider, possibly in the field of AI or technology. They seem to have a partnership offering involving Mistral Medium.
RenTech of AI: RenTech, or Renaissance Technologies, is a well-known quantitative hedge fund. The term here is used metaphorically to suggest a pioneering or leading position in the AI field.
DPO, Alibi, and sliding window: These are likely technical concepts or tools in the field being discussed. Without additional context, their exact meanings are unclear.
Modern mixtures: This could refer to modern algorithms, techniques, or technologies in the field of AI or data science.
TheBloke: This could be a reference to an individual, a role within a community, or a specific entity known for certain expertise or actions.
4070 Super: This seems like a model name, possibly of a computer hardware component like a GPU (Graphics Processing Unit).
MSFT: An abbreviation for Microsoft Corporation.
On-premise: Refers to software or services that are operated from the physical premises of the organization, as opposed to being hosted on the cloud.
Re: ChatGPT for Teams
#219Earlier quoted context omitted.
He speaks very unclearly, instead of saying GPT-4-turbo he says 4.5 preview. 4.5 is invention of his. Also mixtral medium - no idea of what he means by that. Not to mention a claim that mixtral is as good as gpt-4. It’s on the quality of gpt3.5 at best, which is still amazing for an open source model, but a year behind openai
Sorry, but there's little that's unclear about what he said. "mixtral medium" is just a typo: he means mistral-medium. And GPT 4.5 is certainly not an "invention of his". Whether it exists or not (which is debatable, OpenAI said it was just mentioned in a GPT 4 hallutination and caught on), it' s a version name thrown around for like a month in forums, blog posts, news articles and such.
Re: ChatGPT for Teams
#220Earlier quoted context omitted.
He speaks very unclearly, instead of saying GPT-4-turbo he says 4.5 preview. 4.5 is invention of his. Also mixtral medium - no idea of what he means by that. Not to mention a claim that mixtral is as good as gpt-4. It’s on the quality of gpt3.5 at best, which is still amazing for an open source model, but a year behind openai
I just spoke all night to 8x7B and can say that it sucks much less than 3.5. It doesn’t screw up and apologize all the time (and screw up again) and doesn’t repeat what I just said verbatim. That is on topics I have a decent expertise in myself. Never had this experience of periodically forgetting that it’s not a human company with 3.5.