Choosing the Right Framework for Your LLM Application
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Tag: framework
This UC Berkeley AI article presents Pie: a machine learning framework for transparent performance sharing and adaptive expansion in LLM inference
The use of large language models (LLM) has revolutionized artificial intelligence applications, enabling advances in natural language processing tasks such ...
A framework for educational dialogue
Key points: As educators (and the rest of society) struggle to frame the conversations we have with other educators and ...
Duo-LLM: A Framework for Studying Adaptive Computing in Large Language Models
This paper was accepted into the Efficient Natural Speech and Language Processing (ENLSP) Workshop at NeurIPS 2024. Large language models ...
Salesforce AI Research Introduces LaTRO: A Self-Rewarding Framework for Improving Reasoning Capabilities in Large Language Models
Large language models (LLMs), useful for answering questions and generating content, are now being trained to handle tasks that require ...
Meet Aioli: A Unified Optimization Framework for Language Model Data Blending
In recent years, training large language models has faced a crucial challenge: determining the optimal combination of data. Models like ...
NeuroFly: An AI Framework for Whole-Brain Single Neuron Reconstruction
Neuroscience has advanced significantly, allowing us to understand the mapping of neurons in the brain. Neurons have dendrites and axons, ...
WEBRL: A Self-Evolving Online Curriculum Reinforcement Learning Framework for Training High-Performing Web Agents with Open LLMs
Large language models (LLMs) have demonstrated exceptional capabilities in understanding human language, reasoning, and knowledge acquisition, suggesting their potential to ...
LLM-KT: A Flexible Framework for Improving Collaborative Filtering Models with Built-in LLM-Generated Features
Collaborative filtering (CF) is widely used in recommender systems to match user preferences to items, but often struggles with complex ...
Meet Stochastic Flow Matching: An AI Framework That Maps Low Resolution to Latent Space and Matches High Resolution Targets Effectively
Atmospheric science and meteorology have recently advanced the modeling of local weather and climate phenomena by capturing fine-scale dynamics crucial ...
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