Amal Iyer
10 posts

Amal Iyer
@aiyerix
Machine Learning, Computational Neuroscience, Food and Travel Building things @fiddlerlabs | Previously: @hplabs and @qualcomm AI Research
Katılım Temmuz 2023
74 Takip Edilen7 Takipçiler

@varunshenoy_ Really solid blog! Loved the predicted v/s actual performance plots. As a follow-up would be nice to see if the fudge factor for a GPU type holds across different decoder only model sizes.
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Surprised by how many AI products outsource their capabilities to black box APIs.
Optimized open-source models can improve performance and drastically bring down costs (!)
You can't do this with just an endpoint. Leverage the hardware.
Here's how 👇
baseten.co/blog/llm-trans…
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Amal Iyer retweetledi

At #AIForward Summit 2023, @aiyerix dove deep into the importance of evaluating #LLMs in pre-production using Fiddler Auditor, the open-source robustness library for red-teaming of LLMs.
Watch full video: fiddler.ai/resources/ai-f…




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@karinanguyen Thanks for sharing the deck! Conjuring a 'good' prompt seems deceptively simple until you start testing the model.
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Gave a small workshop @aiDotEngineer on how to write optimal prompts for LLMs (in particular Claude) in different contexts: from fashion curation to model-written evaluations!
1/ I explore how I'd now use Claude for the fashion app (InterAlia) that I launched a year ago:

swyx 🏝️@AIEmiami@swyx
@aiDotEngineer @latentspacepod @TheNoahHein Noon sessions on finetuning led by @markatgradient and prompting led by @karinanguyen! also a wild @_jasonwei appeared
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Amal Iyer retweetledi

@goodside & @simonw showed that LLMs are vulnerable to #PromptInjection attacks. Check out how Fiddler Auditor can help minimize prompt injection attacks through #LLM testing: fiddler.ai/blog/evaluate-… (by @aiyerix & Karen He) #GenerativeAI #ResponsibleAI #RobustML #TrustworthyAI

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Amal Iyer retweetledi

Announcing our 🌟open-source🌟 Fiddler Auditor - the first robustness library that leverages LLMs to evaluate other LLMs! fiddler.ai/blog/introduci…
#MLOps teams can now test LLM robustness with adversarial examples, out-of-distribution inputs, and linguistic variations to improve AI performance.
#LLMOps #MachineLearning #AI #ArtificialIntelligence #LLM #OpenSource #DataScience #DataEngineering #DataScientist #DataEngineer
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