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Mihail Eric
2,524 posts
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Mihail Eric
@mihail_eric
Head of AI @monacoGTM, @stanford teaching AI productivity for 32K+ devs themodernsoftware.dev, YC S24, @ConfettiAI (acq'd), ML @amazon @stanfordnlp
San Francisco, CA
mihaileric.com
Joined September 2016
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    Mihail Eric
    @mihail_eric
    Dec 30, 2025
    All assignments for Stanford's The Modern Software Developer are now available online. This is the first comprehensive university course covering how coding LLMs are transforming every stage of the software development life cycle. The assignments are intended to take you from
    GitHub - mihail911/modern-software-dev-assignments: Assignments for CS146S: The Modern Software Dev...
    From github.com
    275K
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    Mihail Eric
    @mihail_eric
    Jun 11, 2024
    How Alexa dropped the ball on being the top conversational system on the planet — A few weeks ago OpenAI released GPT-4o ushering in a new standard for multimodal, conversational experiences with sophisticated reasoning capabilities. Several days later, my good friends at PolyAI
    753K
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    Mihail Eric
    @mihail_eric
    Oct 19, 2022
    I've been doing a deep dive into prompt engineering for large language models. Here are 12 of the most interesting papers, resources, and write-ups I've found:
  • user avatar
    Mihail Eric
    @mihail_eric
    Feb 24, 2022
    What is going on with MLOps today? Over the last few weeks I've talked to 20+ ML practitioners to understand how they see MLOps and where we're going. Here are a few trends for the future to expect in the coming years:
  • user avatar
    Mihail Eric
    @mihail_eric
    Feb 23, 2021
    Anyone else feel like modern NLP is just @huggingface engineering?
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    Mihail Eric
    @mihail_eric
    Jul 8, 2019
    Want to stay up-to-date on your #nlproc literature but don’t have the time to read each paper? Np, I got you! 😏 I added short TLDR snippets to each entry in my growing list of essential #nlproc papers: github.com/mihail911/nlp-… Thanks to @seb_ruder for the awesome suggestion!
    GitHub - mihail911/nlp-library: curated collection of papers for the nlp practitioner 📖👩‍🔬
    From github.com
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    Mihail Eric
    @mihail_eric
    Jul 10, 2024
    Big announcement: @Storia AI has been accepted to @ycombinator for the summer 2024 batch! We're incredibly fortunate to partner with @dflieb @daltonc @mwseibel and @bosmeny. With all the advances in generative AI, we're at a unique technological inflection point to completely
    101K
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    Mihail Eric
    @mihail_eric
    Jan 19, 2021
    Need a refresher on core concepts in machine learning? I made a 120-page overview (with practice exercises) covering: 🔹Supervised learning 🔹Unsupervised learning 🔹Deep learning 🔹Practical ML confetti.ai/assets/ml-prim… I hope you find it helpful!
  • user avatar
    Mihail Eric
    @mihail_eric
    Mar 2, 2022
    MLOps today is a mess. 100s of tools. Confused standards and practices. Yet I'm as hopeful as ever for where the field is going. In this post, I discuss why: mihaileric.com/posts/mlops-is… Huge shout-out to @GokuMohandas @sh_reya @eugeneyan @Dpbrinkm @sarahcat21 for their insights.
    MLOps Is a Mess But That's to be Expected
    From mihaileric.com
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    Mihail Eric
    @mihail_eric
    Jan 23, 2021
    I'm writing a blog post series on how to build a machine learning application from initial idea to deployment. My first three posts are out covering: 🔹Project definition + Setup 🔹Exploratory Data Analysis 🔹Model V1 + Training Pipeline First Post:
    A Complete Machine Learning Project From Scratch: Setting Up
    From mihaileric.com
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    Mihail Eric
    @mihail_eric
    May 14, 2020
    I've been thinking a lot about research and engineering and what they can learn from one another. After grad school I spent 1.5 years working as a backend developer. Here's a list of some engineering lessons I picked up that have greatly improved my research productivity💪:
  • user avatar
    Mihail Eric
    @mihail_eric
    Nov 5, 2019
    *Finally* finished my writeup on how to build a deep learning computer from scratch! mihaileric.com/posts/building… It's a long one, but I hope you find it useful. 🙂 #DeepLearning
    The Birth of Venus: Building a Deep Learning Computer From Scratch
    From mihaileric.com
  • user avatar
    Mihail Eric
    @mihail_eric
    May 26, 2020
    I put up a blog post describing a complete 4-year course plan to best prepare for a career in artificial intelligence, with pointers to relevant classes: mihaileric.com/posts/complete… TLDR: Develop your foundations, do systems classes, get your hands dirty with data, do research.
    A Complete 4-Year Course Plan for an Artificial Intelligence Undergraduate Degree
    From mihaileric.com
  • user avatar
    Mihail Eric
    @mihail_eric
    Jul 8, 2020
    One theme has certainly emerged in this year's #acl2020nlp: the desire by the natural language processing community to step back and make sure the current trend of ML models does not lead us down a locally optimal rabbit hole for the field's progress. A few thoughts:

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