"Not sure about new training methods" -> they said the following in their system card (
https://
cdn.openai.com/gpt-4-5-system
-card.pdf
…): "We trained it using new
supervision techniques combined with traditional methods"
LLMS
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GPT-4.5 trained with new supervision techniques, OpenAI confirms
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GPT 4.5 frontier model status ambiguity with three letters
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3-letters could have made all the difference
"GPT 4.5 is not a frontier model *yet*" -
Train vs Inference Compute Scaling in LLMs: An Orthogonal Comparison
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I think that's an apple-to-oranges comparison. We don't now how GPT4.5 looks like with inference-compute scaling. Train- and inference-compute are two orthogonal ways to improve LLMs.
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GroqCloud Reduces Pricing for Deepseek R1 Distill Llama 70b
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We heard you and we've dropped the larger context length pricing for Deepseek R1 Distill Llama 70b on GroqCloud™!
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Anthropic API Documentation for Vision Messages Examples
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Docs here: https://
docs.anthropic.com/en/api/message
s-examples#vision
… -
Anthropic API Now Supports Public URLs for Image and Document Blocks
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Quality of life update for @AnthropicAI devs: We've added the ability to specify a public facing URL as the source for an image / document block in the Anthropic API
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GPT4.5 vs o1: Cost and Speed Comparison with Inference Scaling
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what I am curious about: is GPT4.5 more expensive and slower than o1 (assuming o1 is GPT4-sized + inference-compute scaling)?
Would be interesting in the context of what GPT4.5 with o1-style inference-compute scaling will look like. -
GPT-4.5 Development: ML and Systems Engineering Challenges
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it's very hard to get the math and ML right on a run as big as GPT-4.5, and requires difficult work at the intersection of ML and systems. @ColinWei11 , Yujia Jin, and @MikhailPavlov5 did excellent work to make this happen!
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Phi-4 Model Versions Clarification and Release Timeline
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oh wow yeah, totally forgot that one. I first though those where the same Phi-4 models from December
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Latest AI Papers: SWE-RL and LoRA Improvements
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Since you all asked for this list: – 25 Feb, SWE-RL: Advancing LLM Reasoning via Reinforcement Learning on Open Software Evolution, https://
arxiv.org/abs/2502.18449
– 24 Feb, Make LoRA Great Again: Boosting LoRA with Adaptive Singular Values and Mixture-of-Experts Optimization Alignment,