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Baseten
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Baseten
@baseten
Inference is everything.
San Francisco and New York Katılım Mart 2021
79 Takip Edilen16.7K Takipçiler
Thinking Machines Lab’s new Inkling-Small is now available on our Model APIs!
At 276B parameters (12B active), Inkling-Small retains the powerful multimodal capabilities and 1M-token context window of the original Inkling (975B, 41B active), but with a significantly smaller footprint.
Try it now on our Model APIs: baseten.co/library/inklin…
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The easiest way to run open (Kimi K3, GLM-5.2) and closed models in your harness: Baseten Switch!
Alex Ker 🔭@thealexker
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No single model will win every workload.
Voice, coding sub-agents, and search pipelines each require a different balance of intelligence, latency, and cost. That’s where diffusion LLMs shine.
Excited to build towards this future alongside @baseten.
To celebrate, we’re giving builders:
👉100M free Mercury tokens
👉10x higher rate limits
👉A faster, more capable Mercury 2
Start building → inceptionlabs.ai/blog/mercury-2…
Baseten@baseten
Today, we're announcing Baseten for Model Labs. We believe the AI landscape will be made up of a diverse ecosystem of specialized, closed-weight models running alongside open-weight ones. Baseten for Model Labs is the platform built to enable labs to monetize, distribute, and scale their closed models on Baseten infrastructure.
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Excited to be a launch partner for Baseten Labs.
Baseten@baseten
Today, we're announcing Baseten for Model Labs. We believe the AI landscape will be made up of a diverse ecosystem of specialized, closed-weight models running alongside open-weight ones. Baseten for Model Labs is the platform built to enable labs to monetize, distribute, and scale their closed models on Baseten infrastructure.
English
@volokuleshov Thrilled to partner with you all to provide the fastest, most reliable, secure, and compliant inference for the enterprise.
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Excited for Mercury 2 to be launching on Baseten Model Labs today!
This launch makes Mercury diffusion LLMs available to an even larger set of enterprise customers with ultra-high speed, compliance, auto-scaling, pay-as-you-go pricing, and more.
To celebrate, we are increasing by 10x the free token tier of Mercury 2 on Baseten. Give it a spin!
Baseten@baseten
Today, we're announcing Baseten for Model Labs. We believe the AI landscape will be made up of a diverse ecosystem of specialized, closed-weight models running alongside open-weight ones. Baseten for Model Labs is the platform built to enable labs to monetize, distribute, and scale their closed models on Baseten infrastructure.
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We are super excited to be a part of Baseten's model lab ecosystem. Synthefy and Baseten have been collaborating on bringing our leading tabular foundation models to more developers and users on @baseten next generation infrastructure .
Congrats on the launch Baseten team!
More to come soon!
Baseten@baseten
Today, we're announcing Baseten for Model Labs. We believe the AI landscape will be made up of a diverse ecosystem of specialized, closed-weight models running alongside open-weight ones. Baseten for Model Labs is the platform built to enable labs to monetize, distribute, and scale their closed models on Baseten infrastructure.
English
this subconscious.dev/blog/subconsci… is live on Baseten!
Baseten@baseten
Today, we're announcing Baseten for Model Labs. We believe the AI landscape will be made up of a diverse ecosystem of specialized, closed-weight models running alongside open-weight ones. Baseten for Model Labs is the platform built to enable labs to monetize, distribute, and scale their closed models on Baseten infrastructure.
English
Big day at @_inception_ai
Proud to be a launch partner for @baseten's Model Labs. To celebrate:
👉 100M free Mercury tokens
👉 10x higher rate limits
👉 A more capable Mercury 2
Claim yours: inceptionlabs.ai/blog/mercury-2…
Baseten@baseten
Today, we're announcing Baseten for Model Labs. We believe the AI landscape will be made up of a diverse ecosystem of specialized, closed-weight models running alongside open-weight ones. Baseten for Model Labs is the platform built to enable labs to monetize, distribute, and scale their closed models on Baseten infrastructure.
English
Excited to share what I have been working on the last 2 months. The future is multi-model hybrid between open source and close source.
Baseten@baseten
Today, we're announcing Baseten for Model Labs. We believe the AI landscape will be made up of a diverse ecosystem of specialized, closed-weight models running alongside open-weight ones. Baseten for Model Labs is the platform built to enable labs to monetize, distribute, and scale their closed models on Baseten infrastructure.
English
@phylera14 We're fully aligned, and very happy to be partnering with you all.
English
No single model will win every workload.
Voice, coding sub-agents, and search pipelines each require a different balance of intelligence, latency, and cost. That’s where diffusion LLMs shine.
Excited to build towards this future alongside @baseten.
To celebrate, we’re giving builders:
👉 100M free Mercury tokens
👉 10x higher rate limits
👉 A faster, more capable Mercury 2
Start building → inceptionlabs.ai/blog/mercury-2…
Baseten@baseten
Today, we're announcing Baseten for Model Labs. We believe the AI landscape will be made up of a diverse ecosystem of specialized, closed-weight models running alongside open-weight ones. Baseten for Model Labs is the platform built to enable labs to monetize, distribute, and scale their closed models on Baseten infrastructure.
English
It has never been easier to deploy @pyannoteAI state of the art diarization!
Baseten@baseten
Today, we're announcing Baseten for Model Labs. We believe the AI landscape will be made up of a diverse ecosystem of specialized, closed-weight models running alongside open-weight ones. Baseten for Model Labs is the platform built to enable labs to monetize, distribute, and scale their closed models on Baseten infrastructure.
English
100M free tokens with 3000 RPM! Just sign up at platform.inceptionlabs.ai
Baseten@baseten
Today, we're announcing Baseten for Model Labs. We believe the AI landscape will be made up of a diverse ecosystem of specialized, closed-weight models running alongside open-weight ones. Baseten for Model Labs is the platform built to enable labs to monetize, distribute, and scale their closed models on Baseten infrastructure.
English
@baseten is ramping up after their massive $1.5B round, and @bria_ai_ 's growing with them joining their model labs!
Baseten@baseten
Today, we're announcing Baseten for Model Labs. We believe the AI landscape will be made up of a diverse ecosystem of specialized, closed-weight models running alongside open-weight ones. Baseten for Model Labs is the platform built to enable labs to monetize, distribute, and scale their closed models on Baseten infrastructure.
English
Excited to be a launch partner with @baseten for Model Labs🎉 Bria and Baseten have been collaborating to bring our commercially safe, rights-cleared visual generation models to Baseten's infrastructure.
Congrats on the launch, Baseten team!
More to come soon 🚀lnkd.in/g3VH-Vhs
Baseten@baseten
Today, we're announcing Baseten for Model Labs. We believe the AI landscape will be made up of a diverse ecosystem of specialized, closed-weight models running alongside open-weight ones. Baseten for Model Labs is the platform built to enable labs to monetize, distribute, and scale their closed models on Baseten infrastructure.
English
Gradium's Text-to-Speech and Speech-to-Text models are now on Baseten.
If you already build there, you can run our streaming speech models without onboarding a new API alongside the rest of your inference stack.
Baseten@baseten
Today, we're announcing Baseten for Model Labs. We believe the AI landscape will be made up of a diverse ecosystem of specialized, closed-weight models running alongside open-weight ones. Baseten for Model Labs is the platform built to enable labs to monetize, distribute, and scale their closed models on Baseten infrastructure.
English
Gradium is now on @baseten
Baseten@baseten
Today, we're announcing Baseten for Model Labs. We believe the AI landscape will be made up of a diverse ecosystem of specialized, closed-weight models running alongside open-weight ones. Baseten for Model Labs is the platform built to enable labs to monetize, distribute, and scale their closed models on Baseten infrastructure.
English
Proud that @GradiumAI is part of this launch to provide real-time voice models at scale
Baseten@baseten
Today, we're announcing Baseten for Model Labs. We believe the AI landscape will be made up of a diverse ecosystem of specialized, closed-weight models running alongside open-weight ones. Baseten for Model Labs is the platform built to enable labs to monetize, distribute, and scale their closed models on Baseten infrastructure.
English
The Multi-Model Future is Here.
That's why we're partnering with Baseten to bring agentic search to every dataset.
People often misinterpret The Bitter Lesson, which is about using general methods, not about creating general models. One of Sutton's examples of a Bitter-Lesson model is AlphaGo, which is the opposite of general (it only plays Go) but was trained using general methods. That the most general method to pretrain a text transformer happened to create a very general model is less a law of nature than a property of the data: the biggest dataset (the internet) also happens to be the most general.
But even the most general language models aren't very good at playing Go. There is value to general models, but this generality comes at the cost of outright performance. What you really want to maximize is leverage on computation: capability per FLOP, whether spent in training or at inference. A better training objective gives you more leverage. A way to use less human data gives you leverage (albeit indirectly). For Go, AlphaZero training has orders of magnitude more leverage than retrofitting a language model.
At SID, we have found ways to get much more leverage for the task of search; incidentally, one of the two tasks Sutton believes scales arbitrarily (yes, he meant search as in MCTS, but we'll take it). We don't know the full extent of our leverage, but SID-1 gives a lower bound: it matches frontier models on retrieval accuracy at roughly 1/500th the inference compute, more than 2 OOMs.
Unlike Go, search is very useful. We’re thrilled to partner with Baseten to bring this utility to everyone. Together we offer agentic search at 20x lower latency and 100x lower cost than a general frontier model, at equal or better accuracy.
We expect many other tasks to go this way. The future will be multi-model not as a compromise to save money, but because specialized models are simply better: faster, cheaper, and more accurate at the thing you actually need.
Baseten@baseten
Today, we're announcing Baseten for Model Labs. We believe the AI landscape will be made up of a diverse ecosystem of specialized, closed-weight models running alongside open-weight ones. Baseten for Model Labs is the platform built to enable labs to monetize, distribute, and scale their closed models on Baseten infrastructure.
English
Today, we're announcing Baseten for Model Labs.
We believe the AI landscape will be made up of a diverse ecosystem of specialized, closed-weight models running alongside open-weight ones.
Baseten for Model Labs is the platform built to enable labs to monetize, distribute, and scale their closed models on Baseten infrastructure.
English