ChatGPT's new image generator is wild. But can it beat Grok 3? I tested both with 10 creative prompts to find out which one is better. And the results shocked me (The final prompt serves as the ultimate test for all these image generators)
LLMS
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STAR-1: Safer Alignment of Reasoning LLMs with 1K Data
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STAR-1: Safer Alignment of Reasoning LLMs with 1K Data
Paper: https://
arxiv.org/pdf/2504.01903
Project Page: https://
ucsc-vlaa.github.io/STAR-1 -
STAR-1 Boosts Safety in Reasoning LLMs with Minimal Data
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You can align reasoning LLMs with just 1K data now! UC Santa Cruz released STAR-1, showing that fine-tuning Large Reasoning Models with it boosts safety performance by 40% on average—while barely affecting reasoning ability.
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AI21 Labs focuses on enterprise AI systems, not AGI
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We don't focus on AGI, which can be defined in many ways. We build AI systems for enterprises to be able to leverage the incredible aspects of this tech, grounded to their policies, data, and workflows. Maestro is optimized for the specific enterprise that uses it. Hope it helps
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Combining Deterministic Methods to Reduce LLM Error Rates
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You’re right, LLMs are inherently probabilistic, not deterministic. However, there are other technologies we use that are deterministic, such as code-based validation, etc. By combining deterministic methods, we significantly reduce error rates and increase reliability.
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Most Powerful 7B Language Model Uses Diffusion Reasoning
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The most powerful 7B language model yet—and it's a diffusion reasoning model.
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Building AI Apps for Real-World Production Use Cases
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Building AI Apps for Real-World Use Cases: From Basics to Production https://
buff.ly/lIO2Wwy
#AI #MachineLearning #DeepLearning #LLMs #DataScience -
ChatGPT demonstrates strong understanding of cheeseburgers and photography
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ChatGPT has really good understanding of cheeseburgers and photography
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ECLeKTic Benchmark Evaluates Cross-Lingual Knowledge in LLMs
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Introducing ECLeKTic, a new benchmark for Evaluating Cross-Lingual Knowledge Transfer in LLMs. It uses a closed-book QA task, where models must rely on internal knowledge to answer questions based on information captured only in a single language. More →
https://
goo.gle/3Y5TqvZ -
SambaNova Cloud Achieves Record 250 Tokens per Second Inference
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Breaking speed limits left & right with #AI inference! Our high-speed support for @deepseek_ai R1 671B delivers 250 t/s per user, leaving other GPU-powered solutions in the dust Devs — get ready to turbocharge your AI with SambaNova Cloud More on our blog