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Yi Ding -- prod/acc
3,780 posts
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Yi Ding -- prod/acc
@yi_ding
AI Architect @qventus Prev LITS and Partnerships @llama_index, Messaging Apps @Apple, HFT @ GETCO, @Citadel
San Jose, CA
Joined May 2008
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    Yi Ding -- prod/acc
    @yi_ding
    Mar 5
    GPT-5.4: the most RLed joke teller yet. @Ed_Miliband levels of consistency.
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    Yi Ding -- prod/acc
    @yi_ding
    Nov 7, 2023
    OpenAI has put together a pretty good roadmap for building a production RAG system. h/t @benparr 1. Start with naive RAG. 2. Tune your chunks: your splitting, chunk sizes, but also small to big strategies where you retrieve more than you embed. Forget fine tuning embedding
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    Yi Ding -- prod/acc
    @yi_ding
    Oct 31, 2023
    Are you using GPT-4 and wondering why it feels a bit more robotic these days? Like it knows only one joke? Fairly conclusive proof that @OpenAI is now caching its responses, and in a way that ignores the temperature setting.
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    Yi Ding -- prod/acc
    @yi_ding
    Jun 10, 2024
    Siri 2.0 is a RAG app.
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    Nick Dobos
    @NickADobos
    Jun 10, 2024
    Siri can read EVERY piece of data on your phone (for apps that opt in)
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    Yi Ding -- prod/acc
    @yi_ding
    Nov 6, 2023
    A few thoughts on how OpenAI is implementing RAG in the new Assistants Retrieval tool before I was locked out. 1. They're splitting on newlines. You can tell because they forget to insert the newlines back between the splits when giving you the reference (red squiggles). 2. The
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    Yi Ding -- prod/acc
    @yi_ding
    Nov 21, 2023
    If you’re using RAG in @AnthropicAI models the best position to put your most relevant chunk is at the bottom. For ChatGPT it’s at the top.
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    Yi Ding -- prod/acc
    @yi_ding
    Dec 22, 2023
    RIP @ChatGPTapp Plugins. 🫗
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    Yi Ding -- prod/acc
    @yi_ding
    Nov 28, 2023
    If you're new to Retrieval Augmented Generation, a fantastic place to start trying it out is @jerryjliu0's new RAGs @streamlit app. 3.6K github stars in 2 weeks!
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    GitHub - run-llama/rags: Build ChatGPT over your data, all with natural language
    From github.com
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    Yi Ding -- prod/acc
    @yi_ding
    Sep 5, 2023
    Another good article about RAG vs. Finetuning and when to use RAG with finetuning. towardsdatascience.com/rag-vs-finetun… One of the benefits of RAG that isn't well known: it helps reduce hallucinations. "So in applications where suppressing falsehoods and imaginative fabrications is vital,
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    RAG vs Finetuning - Which Is the Best Tool to Boost Your LLM Application? | Towards Data Science
    From towardsdatascience.com
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    Yi Ding -- prod/acc
    @yi_ding
    May 8, 2024
    A few takeaways from the @OpenAI Model Spec: cdn.openai.com/spec/model-spe… 1. GPT-5 and future models will be significantly better at decision making and instruction following. The sheer number of conditions here, some almost contradictory, is impressive. 2. Multiple levels of
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    Yi Ding -- prod/acc
    @yi_ding
    Nov 9, 2023
    How does @OpenAI's RAG do on PDFs? First test: table extraction. As we found with secinsights.ai, handling tables often requires special logic. @AnthropicAI clearly does that, and OpenAI Assistants doesn't, so most of the numbers it outputs are wrong.
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    Yi Ding -- prod/acc
    @yi_ding
    Jun 7, 2024
    Replying to @VicVijayakumar and @rbolte
    Please don’t do this. You don’t want your customer’s first impression of your product to be “my boss just got a wtf from the security/branding/marketing/partnerships team”
    4.7K
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    Yi Ding -- prod/acc
    @yi_ding
    Oct 30, 2023
    ChatGPT now has built in Retrieval Augmented Generation (RAG)! Can’t wait to put it through its paces!
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    Yi Ding -- prod/acc
    @yi_ding
    Aug 7, 2024
    Replying to @ArmandDoma
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