Seneca

AI

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SHOW HN2023

109points
125comments
#587of 3,109 in 2023
Top 19%of 2023 by points

How HN took it

MixedNo clear lean

11 positive, 31 neutral or asking, 1 mixed, 21 critical, out of 64 comments about the project. Thread score -0.15.

Execution: 2 for, 16 againstIdea: 6 for, 3 againstPrivacy: 0 for, 1 against

The thread, comment by comment

Each row is a top-level comment and its replies, in HN's order. Select a cell to open that comment on HN.

positive neutral or mixed critical about another commenter or something else the maker

What HN said

What people liked

  • Answers are quoted and sourced from Stoic texts

    From 2 comments
    • wow, this is cool, quotes are sourced! :)
      globuous on HN
    • Love it, results are legit. > How should we deal with the inevitable threat of death? ``` Friend, death is an inevitable part of life that we must accept. We should strive to…
      amoss on HN
  • Fun to try and nostalgic for philosophy study

    From 2 comments
    • Love it, results are legit. > How should we deal with the inevitable threat of death? ``` Friend, death is an inevitable part of life that we must accept. We should strive to…
      amoss on HN
    • Ah you beat me to it! I had thought about doing this but with all sorts of philosophers / materials. Really nice!
      petargyurov on HN

Objections

  • Possible fabricated or confabulated quotes

    From 1 comment
    • Cool! One of the first things I did with GPT3 was fine tune it with the complete works of Plato. It works only with a lot of mediation. This appears to be made with a prompt…
      dr_dshiv on HN

Requests

  • Share the code or repo

    From 1 comment
    • If it's public, Can you share the repo? This is really good, and I'd love to see how you did it. I imagine you are using a vector store/search on the backend, just cutrious!
      pstorm on HN
  • Explain the fine-tuning or prompting method

    From 2 comments
    • Would love a breakdown on how this fine-tuning is accomplished. What was the format of the input data? How many prompt/response pairs was it fine-tuned on? Where/how did you…
      tevon on HN
    • Cool! One of the first things I did with GPT3 was fine tune it with the complete works of Plato. It works only with a lot of mediation. This appears to be made with a prompt…
      dr_dshiv on HN
  • Support response streaming in Node

    From 1 comment
    • Very nice. Are you using NodeJS? Apparently the Python bindings do support streaming the responses, but not the Node ones (yet?). Was curious if anyone had found/built a…
      andai on HN

Questions

  • Is it few-shot prompting or fine-tuning, and how is sourcing done?

    From 3 comments
    • Is this using few shot prompting?
      braindead_in on HN
    • Cool! One of the first things I did with GPT3 was fine tune it with the complete works of Plato. It works only with a lot of mediation. This appears to be made with a prompt…
      dr_dshiv on HN
    • Is this not using embeddings? A corpus of material was fed into embeddings, when a question is asked you query the vectorized embeddings and then pass the n relevant texts into…
      infecto on HN
  • What front end was used?

    From 1 comment

Alternatives named

  • Embeddings-based question answering with OpenAI

    From 1 comment
    • Is this not using embeddings? A corpus of material was fed into embeddings, when a question is asked you query the vectorized embeddings and then pass the n relevant texts into…
      infecto on HN
  • Replika

    From 1 comment
    • Too late, Replika used GPT-3 in 2020 and it was marketed under the health section of the Google Play store.
      bezier-curve on HN

Category, keywords, summaries and labels on this page were made by AI (Thread Reader v2) and not checked by hand. Each point links to the comments it came from.

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