Summary fixes

This commit is contained in:
Explosion Implosion 2024-08-10 08:38:42 -05:00
parent bb5d8b1852
commit f78b3b784d
2 changed files with 25 additions and 31 deletions

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@ -2,34 +2,27 @@
System prompts from Apple Intelligence on the new macOS Sequoia 15.1 Developer Beta. These prompts give lots of insight into how Apple Intelligence works and what it can do. System prompts from Apple Intelligence on the new macOS Sequoia 15.1 Developer Beta. These prompts give lots of insight into how Apple Intelligence works and what it can do.
# Files and what prompts they contain:
<!-- SUMMARY --> <!-- SUMMARY -->
- [125d1d3a3663c98e4d38bc4112795795ee5fe412](com_apple_MobileAsset_UAF_FM_GenerativeModels/purpose_auto/125d1d3a3663c98e4d38bc4112795795ee5fe412.asset/AssetData/metadata.json): Makes text more concise. - [125d1d](com_apple_MobileAsset_UAF_FM_GenerativeModels/purpose_auto/125d1d3a3663c98e4d38bc4112795795ee5fe412.asset/AssetData/metadata.json): Makes text more concise.
- [135ef0aea73908521060216cfef15cf598edf949](com_apple_MobileAsset_UAF_FM_GenerativeModels/purpose_auto/135ef0aea73908521060216cfef15cf598edf949.asset/AssetData/metadata.json): Generates human-like stories based on user photos and input. - [135ef0](com_apple_MobileAsset_UAF_FM_GenerativeModels/purpose_auto/135ef0aea73908521060216cfef15cf598edf949.asset/AssetData/metadata.json): Generates human-like stories based on user photos and input.
- [180d473dba621909e874d91220455c5a8fead40d](com_apple_MobileAsset_UAF_FM_GenerativeModels/purpose_auto/180d473dba621909e874d91220455c5a8fead40d.asset/AssetData/metadata.json): Transforms text into bullet points following user input directives. - [180d47](com_apple_MobileAsset_UAF_FM_GenerativeModels/purpose_auto/180d473dba621909e874d91220455c5a8fead40d.asset/AssetData/metadata.json): Transforms text into bullet points following user input directives.
- [1a3b93adc4632ed94f07a7c89609872c90c6dce6](com_apple_MobileAsset_UAF_FM_GenerativeModels/purpose_auto/1a3b93adc4632ed94f07a7c89609872c90c6dce6.asset/AssetData/metadata.json): Creates and processes text to make it more friendly and readable. - [1a3b93](com_apple_MobileAsset_UAF_FM_GenerativeModels/purpose_auto/1a3b93adc4632ed94f07a7c89609872c90c6dce6.asset/AssetData/metadata.json): Creates and processes text to make it more friendly and readable.
- [21713ac6abc5a8837016f2603692030e11b335bc](com_apple_MobileAsset_UAF_FM_GenerativeModels/purpose_auto/21713ac6abc5a8837016f2603692030e11b335bc.asset/AssetData/metadata.json): Creates summaries of text snippets within a 10 limit. - [21713a](com_apple_MobileAsset_UAF_FM_GenerativeModels/purpose_auto/21713ac6abc5a8837016f2603692030e11b335bc.asset/AssetData/metadata.json): Creates summaries of text snippets within a 10 limit.
- [4daba5bdb4a00ebb9d4378e4d73ef997b4e008c3](com_apple_MobileAsset_UAF_FM_GenerativeModels/purpose_auto/4daba5bdb4a00ebb9d4378e4d73ef997b4e008c3.asset/AssetData/metadata.json): Generates concise, natural mail response given user input and draft. - [4daba5](com_apple_MobileAsset_UAF_FM_GenerativeModels/purpose_auto/4daba5bdb4a00ebb9d4378e4d73ef997b4e008c3.asset/AssetData/metadata.json): Generates concise, natural mail response given user input and draft.
- [58c912648fae39d1ab03e71be45f825bcaa96314](com_apple_MobileAsset_UAF_FM_GenerativeModels/purpose_auto/58c912648fae39d1ab03e71be45f825bcaa96314.asset/AssetData/metadata.json): Supports generating structured responses to guided conversation questions. - [58c912](com_apple_MobileAsset_UAF_FM_GenerativeModels/purpose_auto/58c912648fae39d1ab03e71be45f825bcaa96314.asset/AssetData/metadata.json): Supports generating structured responses to guided conversation questions.
- [1248a939eb03aa21c16bd81e68d1d43a8bcd3cd3](com_apple_MobileAsset_UAF_FM_GenerativeModels/purpose_auto/1248a939eb03aa21c16bd81e68d1d43a8bcd3cd3.asset/AssetData/metadata.json): ane rank 16 lora. - [5abd97](com_apple_MobileAsset_UAF_FM_GenerativeModels/purpose_auto/5abd97bb23a059f12376a2209f608046168fd015.asset/AssetData/metadata.json): Renames text to different style based on user instructions.
- [3a20f668d4ccca36ecc3efc3a109b2e9e101906f](com_apple_MobileAsset_UAF_FM_GenerativeModels/purpose_auto/3a20f668d4ccca36ecc3efc3a109b2e9e101906f.asset/AssetData/metadata.json): ane rank 16 lora. - [658fe9](com_apple_MobileAsset_UAF_FM_GenerativeModels/purpose_auto/658fe974d685d7051ce8a66f8ff7e48f4595afaa.asset/AssetData/metadata.json): Processes search queries for user understanding with MLM architecture.
- [53f7b403c3e6a8190335aac238e9d926ba6ac6cf](com_apple_MobileAsset_UAF_FM_GenerativeModels/purpose_auto/53f7b403c3e6a8190335aac238e9d926ba6ac6cf.asset/AssetData/metadata.json): ane rank 16 lora. - [6a2bba](com_apple_MobileAsset_UAF_FM_GenerativeModels/purpose_auto/6a2bbad040933b68c4821e77b014508941d9c838.asset/AssetData/metadata.json): Transforms text into keypoints with system and user input.
- [59fe9eca076bb1b0a1aafe63cf1c233c5d064a6c](com_apple_MobileAsset_UAF_FM_GenerativeModels/purpose_auto/59fe9eca076bb1b0a1aafe63cf1c233c5d064a6c.asset/AssetData/metadata.json): ane rank 16 lora. - [6fb380](com_apple_MobileAsset_UAF_FM_GenerativeModels/purpose_auto/6fb380fd2be95b9495693dc369d6189bfb23b4f9.asset/AssetData/metadata.json): Makes text summaries from given input, within specific constraints always.
- [5abd97bb23a059f12376a2209f608046168fd015](com_apple_MobileAsset_UAF_FM_GenerativeModels/purpose_auto/5abd97bb23a059f12376a2209f608046168fd015.asset/AssetData/metadata.json): Renames text to different style based on user instructions. - [7acdd2](com_apple_MobileAsset_UAF_FM_GenerativeModels/purpose_auto/7acdd27442f6b12ccff9940ef07ad20b57e2fd38.asset/AssetData/metadata.json): Generates concise mail responses in natural language using input snippets.
- [658fe974d685d7051ce8a66f8ff7e48f4595afaa](com_apple_MobileAsset_UAF_FM_GenerativeModels/purpose_auto/658fe974d685d7051ce8a66f8ff7e48f4595afaa.asset/AssetData/metadata.json): Processes search queries for user understanding with MLM architecture. - [845a72](com_apple_MobileAsset_UAF_FM_GenerativeModels/purpose_auto/845a722d31ea1c32692c01967e3dd333cb18f23d.asset/AssetData/metadata.json): Creates tables from text based on system prompts and user input.
- [6a2bbad040933b68c4821e77b014508941d9c838](com_apple_MobileAsset_UAF_FM_GenerativeModels/purpose_auto/6a2bbad040933b68c4821e77b014508941d9c838.asset/AssetData/metadata.json): Transforms text into keypoints with system and user input. - [89b479](com_apple_MobileAsset_UAF_FM_GenerativeModels/purpose_auto/89b4791ac034a0a3f2d71088b8acb7793c58494c.asset/AssetData/metadata.json): Makes text more friendly with ML model templates.
- [6fb380fd2be95b9495693dc369d6189bfb23b4f9](com_apple_MobileAsset_UAF_FM_GenerativeModels/purpose_auto/6fb380fd2be95b9495693dc369d6189bfb23b4f9.asset/AssetData/metadata.json): Makes text summaries from given input, within specific constraints always. - [8e7c96](com_apple_MobileAsset_UAF_FM_GenerativeModels/purpose_auto/8e7c96a478184b2bc0dcb6b086348e5e3fba75bf.asset/AssetData/metadata.json): Makes text more understandable with rank 64 base adapter.
- [7acdd27442f6b12ccff9940ef07ad20b57e2fd38](com_apple_MobileAsset_UAF_FM_GenerativeModels/purpose_auto/7acdd27442f6b12ccff9940ef07ad20b57e2fd38.asset/AssetData/metadata.json): Generates concise mail responses in natural language using input snippets. - [9b6c66](com_apple_MobileAsset_UAF_FM_GenerativeModels/purpose_auto/9b6c66a4fe393270a673fdcc3fb95bc2c0910702.asset/AssetData/metadata.json): Generates next conversational turn within a chat interaction framework.
- [845a722d31ea1c32692c01967e3dd333cb18f23d](com_apple_MobileAsset_UAF_FM_GenerativeModels/purpose_auto/845a722d31ea1c32692c01967e3dd333cb18f23d.asset/AssetData/metadata.json): Creates tables from text based on system prompts and user input. - [b536ef](com_apple_MobileAsset_UAF_FM_GenerativeModels/purpose_auto/b536ef054977d4f48b8d41544e5fe023fb7afd41.asset/AssetData/metadata.json): Returns curated movie assets based on movie ideas and traits.
- [85c69af59fbe2ca0cb4bd906f71903752bf32364](com_apple_MobileAsset_UAF_FM_GenerativeModels/purpose_auto/85c69af59fbe2ca0cb4bd906f71903752bf32364.asset/AssetData/metadata.json): ane rank 16 lora. - [b7996c](com_apple_MobileAsset_UAF_FM_GenerativeModels/purpose_auto/b7996c3db9a46f17b0c070239231d267fc2d459b.asset/AssetData/metadata.json): Makes text more friendly through system and general prompts.
- [881510b16c98012faac55166afcb2b230aa1617b](com_apple_MobileAsset_UAF_FM_GenerativeModels/purpose_auto/881510b16c98012faac55166afcb2b230aa1617b.asset/AssetData/metadata.json): ane rank 16 lora. - [c7f233](com_apple_MobileAsset_UAF_FM_GenerativeModels/purpose_auto/c7f233bd03663d5f0ccb931bcc14b500b4617397.asset/AssetData/metadata.json): Generates short vivid scenes from user photos with details.
- [89b4791ac034a0a3f2d71088b8acb7793c58494c](com_apple_MobileAsset_UAF_FM_GenerativeModels/purpose_auto/89b4791ac034a0a3f2d71088b8acb7793c58494c.asset/AssetData/metadata.json): Makes text more friendly with ML model templates. - [ef56a4](com_apple_MobileAsset_UAF_FM_GenerativeModels/purpose_auto/ef56a417170bb1085e2e92c80a472b7becf2bff5.asset/AssetData/metadata.json): Makes text more professional, adhering to British or Australian tone.
- [8e7c96a478184b2bc0dcb6b086348e5e3fba75bf](com_apple_MobileAsset_UAF_FM_GenerativeModels/purpose_auto/8e7c96a478184b2bc0dcb6b086348e5e3fba75bf.asset/AssetData/metadata.json): Makes text more understandable with rank 64 base adapter. - [fe6265](com_apple_MobileAsset_UAF_FM_GenerativeModels/purpose_auto/fe6265190939e1902c29032c3f98dd4cc69ad6de.asset/AssetData/metadata.json): Creates urgent classification prompts for conversational dialogue.
- [9b6c66a4fe393270a673fdcc3fb95bc2c0910702](com_apple_MobileAsset_UAF_FM_GenerativeModels/purpose_auto/9b6c66a4fe393270a673fdcc3fb95bc2c0910702.asset/AssetData/metadata.json): Generates next conversational turn within a chat interaction framework. - [1f2896](com_apple_MobileAsset_UAF_SummarizationKitConfiguration/purpose_auto/1f289643c1beb11123b7f425f49fac81dc358e73.asset/AssetData/summarization-template.json): Lots of interesting summarization prompts
- [b536ef054977d4f48b8d41544e5fe023fb7afd41](com_apple_MobileAsset_UAF_FM_GenerativeModels/purpose_auto/b536ef054977d4f48b8d41544e5fe023fb7afd41.asset/AssetData/metadata.json): Returns curated movie assets based on movie ideas and traits.
- [b7996c3db9a46f17b0c070239231d267fc2d459b](com_apple_MobileAsset_UAF_FM_GenerativeModels/purpose_auto/b7996c3db9a46f17b0c070239231d267fc2d459b.asset/AssetData/metadata.json): Makes text more friendly through system and general prompts.
- [c7f233bd03663d5f0ccb931bcc14b500b4617397](com_apple_MobileAsset_UAF_FM_GenerativeModels/purpose_auto/c7f233bd03663d5f0ccb931bcc14b500b4617397.asset/AssetData/metadata.json): Generates short vivid scenes from user photos with details.
- [ce455c38c933891bc0ec297adb84c249a2aaa8aa](com_apple_MobileAsset_UAF_FM_GenerativeModels/purpose_auto/ce455c38c933891bc0ec297adb84c249a2aaa8aa.asset/AssetData/metadata.json): ane rank 16 lora.
- [edcac377f200ec19316f91c9b1fe164e3efecd73](com_apple_MobileAsset_UAF_FM_GenerativeModels/purpose_auto/edcac377f200ec19316f91c9b1fe164e3efecd73.asset/AssetData/metadata.json): ane rank 16 lora.
- [ef56a417170bb1085e2e92c80a472b7becf2bff5](com_apple_MobileAsset_UAF_FM_GenerativeModels/purpose_auto/ef56a417170bb1085e2e92c80a472b7becf2bff5.asset/AssetData/metadata.json): Makes text more professional, adhering to British or Australian tone.
- [fe6265190939e1902c29032c3f98dd4cc69ad6de](com_apple_MobileAsset_UAF_FM_GenerativeModels/purpose_auto/fe6265190939e1902c29032c3f98dd4cc69ad6de.asset/AssetData/metadata.json): Creates urgent classification prompts for conversational dialogue.
- [1f289643c1beb11123b7f425f49fac81dc358e73](com_apple_MobileAsset_UAF_SummarizationKitConfiguration/purpose_auto/1f289643c1beb11123b7f425f49fac81dc358e73.asset/AssetData/summarization-template.json): Lots of interesting summarization prompts

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@ -32,8 +32,9 @@ async function main() {
await new Promise((r) => setTimeout(r, 500)); await new Promise((r) => setTimeout(r, 500));
} }
const summary = Object.entries(out) const summary = Object.entries(out)
.filter(i => !i[1].includes('ane rank 16'))
.map(([k, v]) => { .map(([k, v]) => {
let id = k.split("/").slice(-3)[0].replace(".asset", ""); let id = k.split("/").slice(-3)[0].replace(".asset", "").slice(0, 6);
return `- [${id}](${k}): ${v}`; return `- [${id}](${k}): ${v}`;
}) })
.join("\n"); .join("\n");