Everyone should have a few offline models downloaded as backup.
LLMS
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Recent releases in AI models and agents
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What we got so far: – DeepSeek R1
– ChatGPT Operator
– o3-mini – Deep Research
– Gemini 2.0 Flash
– Gemini 2.0 Pro exp -
Comprehensive Overview and Guide to Qwen AI Models
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Qwen AI: Everything You Need To Know It's crucial for choosing the right AI. • Explore features • Check pricing • Compare competitors Click below to read more: https://
buff.ly/3WNqFDv -
Inspiring Domain-Specific Educational Content Through LLM Introduction Video
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Part of the reason for my 3hr general audience LLM intro video is I hope to inspire others to make equivalents in their own domains of expertise, as I’d love to watch them.
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Flexibility in Reasoning LLMs with Preference Tuning
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Oh I see. Yeah maybe depends on how extensive the preference tuning was. But in general it should be possible to achieve the same "flexibility" there as with non-reasoning LLMs.
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SambaNova partners with Hugging Face for open-source LLM inference
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ICYMI: SambaNova has teamed up with @HuggingFace to enhance inference support for open-source LLMs. You can now filter models on Hugging Face based on their connection to SambaNova inference. Check it out! https://
huggingface.co/models?inferen
ce_provider=sambanova
… #AI -
Top arXiv Paper Trends: DeepSeek and Test-Time Scaling
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Trends of top arXiv papers this past month Showing views on alphaXiv over time for
– DeepSeek V3
– DeepSeek R1
– s1: Simple test-time scaling -
R1 Explicit Preference Reward Training Purpose Discussion
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Why not? I mean R1 even had an explicit preference reward at the end of training; I think that's there exactly for that purpose.
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AG2 Advances: Expanded Language and Faster Symbolic Engine
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AG2 comes with significant upgrades:
* an expanded domain-specific language to cover 88% of IMO geometry problems compared to 66% previously.
* an improved symbolic engine that is more robust and two-order of magnitude faster.
* an enhanced language model that is based on Gemini -
Why DPO Remains Popular Over Reinforcement Learning
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"just" RL :). There's a reason why DPO is so popular (even Llama 3 used it )