AI Briefing#text-classification
The latest AI and developer news about #text-classification, with the original source and a short summary.
The latest AI and developer news about #text-classification, with the original source and a short summary.
The new functions run on PostgreSQL 18 via the google_ml_integration extension (v1.6.1+) and use smart batching to reduce latency and token costs.
Mammoth-1 (27B) and Elephant-1 (9B) offer 16k-token context and return choices, probabilities, and scores for text classification and routing.
Jev achieves 96.47% accuracy on IMDb with a cost of $0.6492, raising the bar for justifying custom fine-tuning.
At the 6th Kakao Tech Meet, Kakao revealed a use case for leveraging LLMs to generate natural language sentences from spam classification results, providing operators with the rationale behind decisions.
AI21 Studio trained custom models with small amounts of data to improve accuracy and latency.
It summarized and introduced use cases for AI21 Studio and Jurassic-1.
AI21 Labs has unveiled its developer platform AI21 Studio and Jurassic-1.