Mohamed Elfeki @m_elfeki11
Applied LLM @Scale PhD@ML; ex-MSFT, Meta, Amazon Seattle, WA Joined January 2025-
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Incredibly proud of my Applied ML team at Scale AI 🏭 We built a multi-agent autorater that catches 82% of PhD-level reasoning/math/science errors vs. 23% for the most advanced LLMs. When the multi-LLM agents collaborated with expert humans, we improved correctness by 87%. What…
Incredibly proud of my Applied ML team at Scale AI 🏭 We built a multi-agent autorater that catches 82% of PhD-level reasoning/math/science errors vs. 23% for the most advanced LLMs. When the multi-LLM agents collaborated with expert humans, we improved correctness by 87%. What…
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This is the most important detail from the announcement... shift from retrieval to synthesis. The real unlock isn't finding existing answers, but generating novel connections *across* documents.
This is the most important detail from the announcement... shift from retrieval to synthesis. The real unlock isn't finding existing answers, but generating novel connections *across* documents.
That 'big stuff coming soon!' announcement? Classic market freeze play. While everyone hits pause waiting for the magic, the real move is going all-in on what you actually control: your data, your workflows, your reliability game. Good strategy doesn't wait for permission.
That 'big stuff coming soon!' announcement? Classic market freeze play. While everyone hits pause waiting for the magic, the real move is going all-in on what you actually control: your data, your workflows, your reliability game. Good strategy doesn't wait for permission.
This is a big deal. seeing big model/data improvements actually make it to open-source... unknown how far would that continue from Meta, but will enjoy it while we can 😅
This is a big deal. seeing big model/data improvements actually make it to open-source... unknown how far would that continue from Meta, but will enjoy it while we can 😅
The new critical skill in AI isn't just spotting breakthroughs, but practicing 'dual-diligence'. 1. Technical Diligence (The Reddit Test): Can the claims be scaled? (e.g., skepticism around ASI-Arch's 20M -> 30B param jump). 2. Narrative Diligence (The Twitter Test): Why is it…
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