Row 99289
Content Data
This page contains data entry 99289 from the Axioma AXP content repository. The structured data below represents the complete record for this entry.
Good for you. I never was "years ago" reviewing such papers. As I said, I can't effectively review AI/ML Arxiv papers without assistance of LLMs. I have no formal education in AI/ML. My degree is BSEE without any AI/ML, with a career focus on consumer electronics, not Matrix Math. I started learning GPT architecture and ML/AI in early 2023 when GPTs were publicized on TV. LLMs enable me to extract jargon and greek/math symbols from AI/ML/GPT Arxiv papers and translate the abstract theory into a familiar python script snippet, or compare the variations described to the python that I already know, and translate jargon/symbols English text that I can efficiently absorb. I am researching GPTs and their variations and I working up to using python to build, examine and modifying Tiny GPT models. [https://huggingface.co/MartialTerran](https://huggingface.co/MartialTerran)
| Field | Value |
|---|---|
| text | Good for you. I never was "years ago" reviewing such papers. As I said, I can't effectively review AI/ML Arxiv papers without assistance of LLMs. I have no formal education in AI/ML. My degree is BSEE without any AI/ML, with a career focus on consumer electronics, not Matrix Math. I started learning GPT architecture and ML/AI in early 2023 when GPTs were publicized on TV. LLMs enable me to extract jargon and greek/math symbols from AI/ML/GPT Arxiv papers and translate the abstract theory … |
| label | r/machinelearning |
| dataType | comment |
| communityName | r/MachineLearning |
| datetime | 2024-05-25 |
| username_encoded | Z0FBQUFBQm5Lak14SXVUMUNVUkw2aUFVdWxxM25La0RhOGl0a1k4d2JjUm50U0xRc1ZiWjZ4VmdqZzF0XzVzbEZuVlgzRHJOOVpiOWtrY3dZYmUyWUtFRjg2Y1ZtTDZMQVE9PQ== |
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Raw Record
{
"text": "Good for you. I never was \"years ago\" reviewing such papers. As I said, I can't effectively review AI/ML Arxiv papers without assistance of LLMs. I have no formal education in AI/ML. My degree is BSEE without any AI/ML, with a career focus on consumer electronics, not Matrix Math. I started learning GPT architecture and ML/AI in early 2023 when GPTs were publicized on TV. LLMs enable me to extract jargon and greek/math symbols from AI/ML/GPT Arxiv papers and translate the abstract theory into a familiar python script snippet, or compare the variations described to the python that I already know, and translate jargon/symbols English text that I can efficiently absorb. I am researching GPTs and their variations and I working up to using python to build, examine and modifying Tiny GPT models. [https://huggingface.co/MartialTerran](https://huggingface.co/MartialTerran)",
"label": "r/machinelearning",
"dataType": "comment",
"communityName": "r/MachineLearning",
"datetime": "2024-05-25",
"username_encoded": "Z0FBQUFBQm5Lak14SXVUMUNVUkw2aUFVdWxxM25La0RhOGl0a1k4d2JjUm50U0xRc1ZiWjZ4VmdqZzF0XzVzbEZuVlgzRHJOOVpiOWtrY3dZYmUyWUtFRjg2Y1ZtTDZMQVE9PQ==",
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}
Entry Information
- Entry ID: 99289
- Repository: Axioma AXP
- Dataset: arrmlet/reddit_dataset_36
- Total Entries: 100,000