Core Capabilities: 1) domain model constrained knowledge modeling, 2) facts and logic fused representation, 3) kNext SDK(python): LLM-enhanced knowledge construction, reasoning and generation knowledge-graph spg knowledge-reasoning llm-based-reasoning kg-semantic-framework llm-enhanced-kg-construction ...
The selection of information to profile the agent is predominantly dictated by the specific application scenarios, thereby guiding the trajectory of profile generation. In light of the intricate relationship between scenario modeling and agent generation, existing literature commonly adopts the following thre...
1.2.1 Reward Modeling During Training 1.2.2 Acting as Verifier During Inference 1.2.3 Feedback for Refinement 1.3 Data Collection 1.3.1 Data Annotation 1.3.2 Data Synthesize 2. METHODOLOGY 2.1 Single-LLM System 2.1.1 Prompt-based 2.1.1.1 In-Context Learning 2.1.1.2 Step-by-step 2.1....
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5. Epidemic modeling in the LLMs environment Epidemic modeling is one of the major applications of network science and has been one of the main players in complex systems research during the last two decades [143], [144]. Not only it is a problem of obvious practical implications, but also...
Currently, auto_gptq supports: LanguageModelingTask, SequenceClassificationTask and TextSummarizationTask; more Tasks will come soon! Running tests Tests can be run with: pytest tests/ -s Acknowledgement Specially thanks Elias Frantar, Saleh Ashkboos, Torsten Hoefler and Dan Alistarh for proposing...
Currently, auto_gptq supports: LanguageModelingTask, SequenceClassificationTask and TextSummarizationTask; more Tasks will come soon!Running testsTests can be run with:pytest tests/ -s AcknowledgementSpecially thanks Elias Frantar, Saleh Ashkboos, Torsten Hoefler and Dan Alistarh for proposing GPTQ ...
Currently, auto_gptq supports: LanguageModelingTask, SequenceClassificationTask and TextSummarizationTask; more Tasks will come soon!Running testsTests can be run with:pytest tests/ -s AcknowledgementSpecially thanks Elias Frantar, Saleh Ashkboos, Torsten Hoefler and Dan Alistarh for proposing GPTQ ...
3.5.4. User’s Request Embedding and Preferences Modeling We focus on transforming a user’s request 𝑄Q into a contextual embedding that incorporates a user’s genre, needs, preferences, and current context, facilitating the recommendation of relevant and context-specific items. This is performed...
Currently, auto_gptq supports: LanguageModelingTask, SequenceClassificationTask and TextSummarizationTask; more Tasks will come soon!Running testsTests can be run with:pytest tests/ -s AcknowledgementSpecially thanks Elias Frantar, Saleh Ashkboos, Torsten Hoefler and Dan Alistarh for proposing GPTQ ...