Good1 @MLMusings
Angel Investor | 2x start up founder | Silicon Valley | Drinking the coolaid! San Francisco Joined February 2025-
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Good1 retweeted
Slides for my lecture “LLM Reasoning” at Stanford CS 25: dennyzhou.github.io/LLM-Reasoning-… Key points: 1. Reasoning in LLMs simply means generating a sequence of intermediate tokens before producing the final answer. Whether this resembles human reasoning is irrelevant. The crucial…
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Good1 retweeted
Comprehensive Taxonomy of LLM Hallucinations Nice report covering common hallucinations, root causes, and mitigation strategies.
Leave of absence is a much better, low risk exploration option. If things don’t workout, go back and complete the degree.
Leave of absence is a much better, low risk exploration option. If things don’t workout, go back and complete the degree.
Table stakes imho
Generating 1 page of text from this LLM is equivalent to consuming about 2 sips of water!
Generating 1 page of text from this LLM is equivalent to consuming about 2 sips of water!
Good1 retweeted
@MistralAI The environmental footprint of training Mistral Large 2: as of January 2025, and after 18 months of usage, Large 2 generated the following impacts: - 20,4 ktCO₂e, - 281 000 m3 of water consumed, - and 660 kg Sb eq (standard unit for resource depletion). The marginal impacts of…
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