Grok-2 Beta Release
Grok-2 and Grok-2 mini have been released in beta on the đť•Ź platform, outperforming other models in benchmarks and enhancing user experience with real-time information and improved interaction capabilities.
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Grok-2 has been released as a beta version on the đť•Ź platform, showcasing significant advancements in language processing and reasoning capabilities compared to its predecessor, Grok-1.5. The release includes two models: Grok-2 and Grok-2 mini, both of which have demonstrated superior performance on the LMSYS leaderboard, outperforming notable models like Claude 3.5 Sonnet and GPT-4-Turbo. Grok-2 has been evaluated across various academic benchmarks, showing improvements in reasoning, reading comprehension, math, science, and coding. It excels in visual tasks and document-based question answering. The models are designed to enhance user experience on the đť•Ź platform, offering real-time information and improved interaction capabilities. Premium users can access these models through a redesigned interface, while developers will have access to Grok-2 via a new enterprise API, which includes enhanced security features and management tools. The rollout aims to integrate Grok's capabilities into various AI-driven features on the platform, with future updates expected to enhance multimodal understanding.
- Grok-2 and Grok-2 mini are now in beta on the đť•Ź platform.
- Grok-2 outperforms other leading models in various benchmarks.
- The models enhance user experience with real-time information and improved interaction.
- Developers can access Grok-2 through a new enterprise API with advanced security features.
- Future updates will focus on integrating multimodal understanding into the Grok experience.
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29 commentsWhat is the company’s ethical position though? It officially stemmed from Mr Musk’s objection that OpenAI was not open-source, but it too is not open-source. It followed Mr Musk’s letter to stop all AI development on frontier models, but it is a frontier model. It followed complaints that OpenAI trained on tweets, but it also trained on tweets.
Companies like Meta, Mistral, or DeepSeek, address those complaints better, and all now play in the big league.
Since these "safety" features tend to also degrade the model, that's likely also helping them catch up in the benchmarks.
When they make the mini model available for download and quantizable. That's when I may be interested. But given the minimal improvement in the past several months, I'm inclined to believe that we have reached the plateau.
This is Musk after all, so I wouldn't be surprised if it strayed far from the norm.
I'm surprised they managed to catch up. I guess there really is no moat.
My guess is that they're using one of the third party AI training outfits for this and that they are paying through the nose.
This looks exactly like a training task I got to see on one of those platforms.
I’m not hugely optimistic, though.
Is anyone with X premium able to confirm the vibe check -- Is the model actually good or another case of training on benchmarks?
That said I’m still cheering for mistral and meta with their more open stance
https://noyb.eu/en/twitters-ai-plans-hit-9-more-gdpr-complai...
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