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The main features of codedotal/gpt-code-clippy are: Large Language Models.
Projects with overlapping indexed features include: airobotlab/kochatgpt. alisawuffles/ambient — Code and data associated with the AmbiEnt dataset in "We're Afraid Language Models Aren't Modeling Ambiguity" (Liu et… allenai/mmc4 — MultimodalC4 is a multimodal extension of c4 that interleaves millions of images with text. antimatter15/alpaca.cpp — alpaca.cpp is a high-performance local inference engine implemented in C++ for executing instruction-tuned large… artidoro/qlora — This project is a quantized fine-tuning framework for large language models. It implements a low-rank adaptation… aigc-audio/audiogpt — AudioGPT is an LLM-driven audio framework and processing suite that uses large language models to orchestrate neural…
Code and data associated with the AmbiEnt dataset in "We're Afraid Language Models Aren't Modeling Ambiguity" (Liu et al., 2023)
MultimodalC4 is a multimodal extension of c4 that interleaves millions of images with text.
AudioGPT is an LLM-driven audio framework and processing suite that uses large language models to orchestrate neural audio pipelines. It functions as a multimodal audio generator and processing system, integrating a collection of pretrained models to handle speech synthesis, sound generation, and audio manipulation. The system is distinguished by its ability to generate audio from diverse inputs, including text and images, and its capacity to produce synchronized talking head videos. It also operates as a neural speech translator, converting spoken language between different tongues while pre