Amal Iyer

10 posts

Amal Iyer

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
Amal Iyer
Amal Iyer@aiyerix·
@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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Varun Shenoy
Varun Shenoy@varunshenoy_·
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
Amal Iyer@aiyerix·
Larger context lengths are an existential challenge to vector DB providers. 128K context length suffices most chatbot applications
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Amal Iyer
Amal Iyer@aiyerix·
Attention: A good f*n bagel is all you need.
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Amal Iyer
Amal Iyer@aiyerix·
Using GPT-4 for evals. Cost is 🥲
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Amal Iyer
Amal Iyer@aiyerix·
@karinanguyen Thanks for sharing the deck! Conjuring a 'good' prompt seems deceptively simple until you start testing the model.
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Karina Nguyen
Karina Nguyen@karinanguyen·
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:
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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
Amal Iyer@aiyerix·
Excited for the upcoming workshop on Responsible and Open Foundation models. Pretty solid line-up!
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Amal Iyer retweetledi
Fiddler AI
Fiddler AI@fiddler_ai·
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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