
My lab will take care of this I had a stream in October 2024 saying small and specialized models are the future that I need to find

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My lab will take care of this I had a stream in October 2024 saying small and specialized models are the future that I need to find
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I now rank Nemotron 3 Ultra among the top 5 Opensource models out there Frontier intelligence at home
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I just love randomly stumbling upon tears that say “Buy a GPU and run your own models locally! “
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They are not designed for people to invoke them, although you can do so if you wish. Simply tell the model what you want to happen, and it will do the work to invoke the right skills for you.

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Observation of many benchmarks showing that Opus is the best model for long tasks. Five tips for running Opus autonomously for hours/days: 1. Use automatic mode for permissions so that Claude does not ask for approval.
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Codex use-cases: “From software engineering and design to data analysis and operations, Codex is becoming an AI teammate instead of just an AI assistant.”

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Want to scale LLMs without skyrocketing compute costs? Samsung presents MeKi: Memory-based Expert Knowledge Injection. Instead of making models bigger to learn everything, MeKi gives LLMs a dynamic memory bank of expert knowledge. Think of it as a cheat sheet the model can

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"OPRD: On-Policy Representation Distillation" On-policy distillation usually matches teacher and student only at the token probability level, throwing away the teacher’s hidden states. This paper moves the loss before the LM head, aligning student and teacher representations on

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The biggest misconception about AI progress is that it's only about bigger models.
Anthropic's data suggests something different:
Better models are helping researchers build better models faster.
That's a very different kind of scaling law.
#AI #Claude #MachineLearning