Search Results for "deep learning with python" - Page 10

ChatGLM-6B is a 6.2 billion parameter bilingual language model developed by THUDM, based on the General Language Model (GLM) framework. It is optimized for natural and fluent dialogue in both Chinese and English, supporting applications in conversational AI, question answering, and assistance. Trained on approximately 1 trillion tokens, the model benefits from supervised fine-tuning, feedback self-training, and reinforcement learning with human feedback to align its outputs with human...

... and refined using both supervised fine-tuning and reinforcement learning with human feedback. It supports long context windows up to 128k tokens and enables advanced tool use for function calling and integration. Llama-3.3 is distributed under the Llama Community License, allowing commercial use within specific limits, and requires proper attribution and adherence to Meta's Acceptable Use Policy.

Llama-2-70B-Chat is Meta’s largest fine-tuned large language model, optimized for dialogue and aligned using supervised fine-tuning (SFT) and reinforcement learning with human feedback (RLHF). It features 70 billion parameters and uses a transformer architecture with grouped-query attention (GQA) to improve inference scalability. Trained on 2 trillion tokens from publicly available sources and over a million human-annotated examples, the model outperforms most open-source chat models and rivals...