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Matt Valoatto PRO
mvaloatto
AI & ML interests
Image classification, image feature extraction, text classification, design, art, tech, science. π€ since 2016.
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emphasize more the evolution
3
#2 opened 8 months ago
by
clem
Are numbers updated over time?
1
#1 opened 10 months ago
by
julien-c
reacted to
victor's
post with π₯
8 months ago
Post
4293
The hype is real: a mysterious gpt2-chatbot model has appeared on the LLM Arena Leaderboard π.
It seems to be at least on par with the top performing models (closed and open).
To try it out: https://chat.lmsys.org/ -> then click on the Direct Chat tab and select gpt2-chatbot.
Take your bet, what do you think it is?
It seems to be at least on par with the top performing models (closed and open).
To try it out: https://chat.lmsys.org/ -> then click on the Direct Chat tab and select gpt2-chatbot.
Take your bet, what do you think it is?
- 4 replies
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9 months ago
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9 months ago
updated
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9 months ago
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9 months ago
reacted to
clem's
post with π€
9 months ago
Post
2535
Introducing
gretelai/synthetic_text_to_sql by https://huggingface.co/gretelai
It stands as the largest and most diverse synthetic Text-to-SQL dataset available to-date.
The dataset includes:
- 105,851 records partitioned into 100,000 train and 5,851 test records
~23M total tokens, including ~12M SQL tokens
- Coverage across 100 distinct domains/verticals
- Comprehensive array of SQL tasks: data definition, retrieval, manipulation, analytics & reporting
- Wide range of SQL complexity levels, including subqueries, single joins, multiple joins, aggregations, window functions, set operations
- Database context, including table and view create statements
- Natural language explanations of what the SQL query is doing
- Contextual tags to optimize model training
Blogpost: https://gretel.ai/blog/synthetic-text-to-sql-dataset
Dataset: gretelai/synthetic_text_to_sql
It stands as the largest and most diverse synthetic Text-to-SQL dataset available to-date.
The dataset includes:
- 105,851 records partitioned into 100,000 train and 5,851 test records
~23M total tokens, including ~12M SQL tokens
- Coverage across 100 distinct domains/verticals
- Comprehensive array of SQL tasks: data definition, retrieval, manipulation, analytics & reporting
- Wide range of SQL complexity levels, including subqueries, single joins, multiple joins, aggregations, window functions, set operations
- Database context, including table and view create statements
- Natural language explanations of what the SQL query is doing
- Contextual tags to optimize model training
Blogpost: https://gretel.ai/blog/synthetic-text-to-sql-dataset
Dataset: gretelai/synthetic_text_to_sql
- 1 reply
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