new_line
🧠 One Model to Classify, Verify, and Guard — Meet GLiClass-Instruct
text
🧠 One Model to Classify, Verify, and Guard — Meet GLiClass-Instruct
new_line
new_line
When we first released GLiClass, it was a fast, zero-shot text classifier that could rival cross-encoders at a fraction of the cost. But classification alone wasn't enough. Our real ambition was a single, lightweight model that could handle the diverse range of text-understanding tasks via classification.
text
When we first released GLiClass, it was a fast, zero-shot text classifier that could rival cross-encoders at a fraction of the cost. But classification alone wasn't enough. Our real ambition was a single, lightweight model that could handle the diverse range of text-understanding tasks via classification.
new_line
We are excited to announce GLiClass-Instruct – a leap forward that transforms GLiClass from a classifier into an instruction-following, multi-task engine.
text
We are excited to announce GLiClass-Instruct – a leap forward that transforms GLiClass from a classifier into an instruction-following, multi-task engine.
new_line
What's new:
text
What's new:
new_line
▪️ Hierarchical labeling: organize labels into structured groups for complex taxonomies 
text
▪️ Hierarchical labeling: organize labels into structured groups for complex taxonomies 
new_line
▪️ In-context learning via examples: provide few-shot examples to adapt on the fly, no fine-tuning needed 
text
▪️ In-context learning via examples: provide few-shot examples to adapt on the fly, no fine-tuning needed 
new_line
▪️ Prompting support: guide classification behavior with natural-language task descriptions 
text
▪️ Prompting support: guide classification behavior with natural-language task descriptions 
new_line
▪️ EWC for preventing catastrophic forgetting: add new capabilities without losing old ones 
text
▪️ EWC for preventing catastrophic forgetting: add new capabilities without losing old ones 
new_line
▪️ 3x faster inference thanks to FlashDeBERTa
text
▪️ 3x faster inference thanks to FlashDeBERTa
new_line
New multi-task capabilities:
text
New multi-task capabilities:
new_line
Beyond topic classification and sentiment analysis, GLiClass now supports:
text
Beyond topic classification and sentiment analysis, GLiClass now supports:
new_line
▪️ Hallucination detection: verify whether LLM outputs are grounded in context 
text
▪️ Hallucination detection: verify whether LLM outputs are grounded in context 
new_line
▪️ Rule-following verification: check if content complies with custom guidelines 
text
▪️ Rule-following verification: check if content complies with custom guidelines 
new_line
▪️ Safety classification: detect prompt injections, jailbreaks, and harmful requests
text
▪️ Safety classification: detect prompt injections, jailbreaks, and harmful requests
new_line
These tasks are crucial for building reliable and efficient agentic systems, where every LLM output needs to be verified, every user input needs to be screened, and every response needs to follow the rules, all at minimal latency.
text
These tasks are crucial for building reliable and efficient agentic systems, where every LLM output needs to be verified, every user input needs to be screened, and every response needs to follow the rules, all at minimal latency.
new_line
We release 3 instruction-following models (edge, base, large), with the large model matching SoTA classification models while unlocking entirely new task categories.
text
We release 3 instruction-following models (edge, base, large), with the large model matching SoTA classification models while unlocking entirely new task categories.
new_line
🔗 Explore more:
text
🔗 Explore more:
new_line
GitHub repo:  
text
GitHub repo:  
https://github.com/Knowledgator/GLiClass
https://github.com/Knowledgator/GLiClass
link
text
new_line
Models: 
text
Models: 
https://huggingface.co/knowledgator/gliclass-multitask-large-v1.0
https://huggingface.co/knowledgator/gliclass-multitask-large-v1.0
link
text
new_line
Our other solutions: 
text
Our other solutions: 
https://www.knowledgator.com/
https://www.knowledgator.com/
link
new_line

🧠 One Model to Classify, Verify, and Guard — Meet GLiClass-Instruct

When we first released GLiClass, it was a fast, zero-shot text classifier that could rival cross-encoders at a fraction of the cost. But classification alone wasn't enough. Our real ambition was a single, lightweight model that could handle the diverse range of text-understanding tasks via classification.
We are excited to announce GLiClass-Instruct – a leap forward that transforms GLiClass from a classifier into an instruction-following, multi-task engine.
What's new:
▪️ Hierarchical labeling: organize labels into structured groups for complex taxonomies 
▪️ In-context learning via examples: provide few-shot examples to adapt on the fly, no fine-tuning needed 
▪️ Prompting support: guide classification behavior with natural-language task descriptions 
▪️ EWC for preventing catastrophic forgetting: add new capabilities without losing old ones 
▪️ 3x faster inference thanks to FlashDeBERTa
New multi-task capabilities:
Beyond topic classification and sentiment analysis, GLiClass now supports:
▪️ Hallucination detection: verify whether LLM outputs are grounded in context 
▪️ Rule-following verification: check if content complies with custom guidelines 
▪️ Safety classification: detect prompt injections, jailbreaks, and harmful requests
These tasks are crucial for building reliable and efficient agentic systems, where every LLM output needs to be verified, every user input needs to be screened, and every response needs to follow the rules, all at minimal latency.
We release 3 instruction-following models (edge, base, large), with the large model matching SoTA classification models while unlocking entirely new task categories.
🔗 Explore more:
GitHub repo:  https://github.com/Knowledgator/GLiClass 
Models: https://huggingface.co/knowledgator/gliclass-multitask-large-v1.0 
Our other solutions: https://www.knowledgator.com/

👀
John6666