If you just want to use MIR as the pre-training indicator of your own model, no additional environment is required. python mir.py --model_path PATH/TO/MODEL --base_llm PATH/TO/LLM --text_data_path ...
This is an open collection of methodologies, tools and step by step instructions to help with successful training and fine-tuning of large language models and multi-modal models and their inference.
Investigación Zapatero y su pagador viajaban juntos a Venezuela en aviones del régimen de Maduro Política El PP cita a Zapatero en la 'comisión Koldo' del Senado el lunes 2 de marzo en plena campaña ...
Abstract: Despite its significant progress, cross-modal retrieval still suffers from one-to-many matching cases, where the multiplicity of semantic instances in another modality could be acquired by a ...
Telefé es uno de los canales con mayor audiencia actualmente en la República Argentina. Con una amplia variedad de programas, tanto de información como de entretenimiento, se consolidaron como líderes ...
Abstract: Multi-modal prompt learning is a high-performance and cost-effective learning paradigm, which learns text as well as image prompts to tune pre-trained vision-language (V-L) models like CLIP ...
Microsoft has released the beta version for TypeScript 6.0, the last release with the current JavaScript codebase. From version 7.0 onwards, the compiler and the language service will be written in Go ...
Modal Labs, a startup specializing in AI inference infrastructure, is talking to VCs about a new round at a valuation of about $2.5 billion, according to four people with knowledge of the deal. Should ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results