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LLMS
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Community Notes Needed for LLM Benchmark Misleading Claims
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we need community notes for llm benchmark porn
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Large Language Models Performance Improving Exponentially
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Large Language Models are improving exponentially: https://
spectrum.ieee.org/large-language
-model-performance
… via @IEEESpectrum #AI #GenAI #LLMs #GenerativeAI #MachineLearning Quote:
"Even we had very, very clever AIs, this pace of progress could still end up bottlenecked on things like hardware and robotics." -
Grok AI Model Shows Interesting Self-Dialogue Behavior
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Wow, this is some… interesting? behavior from Grok? Not necessarily bad! I just haven't seen a model talk to itself while *not* in a thinking step like this.
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Mistral AI launches Devstral Small and Medium 2507
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BREAKING : Mistral AI released Devstral Small and Medium 2507, topping the scores on the SWE bench among open models. – devstral-small-2507 – $0.1/M input tokens and $0.3/M output tokens.
– devstral-medium-2507 – $0.4/M input tokens and $2/M output tokens. -
Testing Grok 4: First Results and Performance Analysis
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Going to test Grok 4 today. Will share results as I have them!
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LangChain Now Supports Grok 4 Models with ChatXAI
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Try out the new @grok 4 models with LangChain's ChatXAI today!
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Grok 4 Documentation Release Status and Availability
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Is there any documentation for Grok 4 anywhere yet? The xAI website last mentions the Grok 3 beta, no new prompts on the Github, etc.
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Adopting Small Language Models Without Rebuilding Your Tech Stack
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Adopt SLMs without rearchitecting your entire stack: → Start by auditing where LLMs are used and which tasks can be offloaded
→ Use distillation and fine-tuning to train SLMs on those subtasks
→ Gradually replace LLMs with SLMs in your pipeline, monitor, and optimize -
SLMs Rapid Improvement and Easy Migration from LLMs
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A few takeaways: 1. SLMs are improving rapidly, even at the same parameter size
2. Migrating from LLMs to SLMs is easier than expected