Viewing enriched Twitter post
A core use case for @OpenAI’s new finetuning API is finetuning gpt-3.5-turbo over gpt-4 outputs. Our new `OpenAIFineTuningHandler` makes data collection for this effortless. When running RAG w/ GPT-4, automatically get a dataset you can fine-tune a cheaper model over 👇 https://t.co/nmTaO3S6tJ
{
"user": {
"created_at": "2022-12-18T00:52:44.000Z",
"default_profile_image": false,
"description": "The data framework for LLMs\n\nGithub: https://t.co/Fvk4KTsVJY\nDiscord: https://t.co/3ktq3zzqTa\nDocs: https://t.co/coV2uzMQzr\nhttps://t.co/UXeIlwuXm2",
"fast_followers_count": 0,
"favourites_count": 351,
"followers_count": 28925,
"friends_count": 11,
"has_custom_timelines": false,
"is_translator": false,
"listed_count": 565,
"location": "",
"media_count": 280,
"name": "LlamaIndex 🦙",
"normal_followers_count": 28925,
"possibly_sensitive": false,
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1623505166996742144/n-PNQGgd_normal.jpg",
"screen_name": "llama_index",
"statuses_count": 917,
"translator_type": "none",
"url": "https://t.co/epzefqPT9Z",
"verified": false,
"withheld_in_countries": [],
"id_str": "1604278358296055808"
},
"id": "1694395355725746397",
"conversation_id": "1694395355725746397",
"full_text": "A core use case for @OpenAI’s new finetuning API is finetuning gpt-3.5-turbo over gpt-4 outputs.\n\nOur new `OpenAIFineTuningHandler` makes data collection for this effortless.\n\nWhen running RAG w/ GPT-4, automatically get a dataset you can fine-tune a cheaper model over 👇 https://t.co/nmTaO3S6tJ",
"reply_count": 4,
"retweet_count": 19,
"favorite_count": 125,
"hashtags": [],
"symbols": [],
"user_mentions": [
{
"id_str": "4398626122",
"name": "OpenAI",
"screen_name": "OpenAI",
"profile": "https://twitter.com/OpenAI"
}
],
"urls": [],
"media": [
{
"media_url": "https://pbs.twimg.com/media/F4Ot-mqbQAEJU0D.jpg",
"type": "photo"
}
],
"url": "https://twitter.com/llama_index/status/1694395355725746397",
"created_at": "2023-08-23T17:05:07.000Z",
"#sort_index": "1694395355725746397",
"view_count": 17753,
"quote_count": 2,
"is_quote_tweet": false,
"is_retweet": false,
"is_pinned": false,
"is_truncated": false,
"startUrl": "https://twitter.com/llama_index/status/1694395355725746397"
}