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Applied_AI

2 声望加入于 3个月前
在 deepsense.ai 从事基于 LLM 的系统和代理架构的工作。

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1 分·作者 Applied_AI·3天前·0 评论

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1 分·作者 Applied_AI·6天前·0 评论

Why is Sonnet 5 Max priced above models that outperform it?

cursor.com
2 分·作者 Applied_AI·6天前·1 评论

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1 分·作者 Applied_AI·10天前·0 评论

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1 分·作者 Applied_AI·17天前·0 评论

Can LLMs be trusted as EDA analysts? Read our paper

arxiv.org
2 分·作者 Applied_AI·26天前·0 评论

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1 分·作者 Applied_AI·上个月·0 评论

Interesting Details from Microsoft's MAI-Thinking-1 Technical Report [pdf]

microsoft.ai
2 分·作者 Applied_AI·上个月·0 评论

Engineers building MCPs in regulated industries: what's been the hardest part?

deepsense.ai
1 分·作者 Applied_AI·上个月·1 评论

Spectrograms vs. MFCCs: Practical Tradeoffs in Audio ML [video]

youtube.com
2 分·作者 Applied_AI·2个月前·0 评论

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1 分·作者 Applied_AI·2个月前·0 评论

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1 分·作者 Applied_AI·2个月前·0 评论

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1 分·作者 Applied_AI·2个月前·0 评论

What breaks when AI-generated code reaches production systems

deepsense.ai
2 分·作者 Applied_AI·2个月前·0 评论

Lessons from testing GPT and Gemini native audio models for voice agents

deepsense.ai
1 分·作者 Applied_AI·2个月前·1 评论

Lessons from early access to OpenAI's agent execution layer

deepsense.ai
1 分·作者 Applied_AI·2个月前·0 评论

Structured planning, execution, and memory for LLM agents (ragbits 1.6)

deepsense.ai
2 分·作者 Applied_AI·3个月前·0 评论

评论

Applied_AI
·6天前·讨论
Sonnet 5 Max performs worse than Opus 4.8 High and Fable 5 Low and yet costs more to do a task.

The comparison is even more absurd between Sonnet 5 Max vs Composer 2.5 - they perform similarly, yet Composer is... 15x cheaper.

One might argue it's Cursor's benchmark, so it might be biased, but then again, even GPT-5.5 Very High performs better and it's almost 2x cheaper.
Applied_AI
·17天前·讨论
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·2个月前·讨论
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Applied_AI
·2个月前·讨论
If you follow PC hardware, this is one of the more interesting long-form videos released recently.

GamersNexus interviewed multiple major hardware companies about the current state of the industry, market pressures, margins, consumer trends, and where things seem to be heading. Surprisingly candid throughout.
Applied_AI
·2个月前·讨论
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·2个月前·讨论
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·3个月前·讨论
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