错误:搜索内容不能为空,请输入英文关键词
错误:关键词超出字数限制,请精简
高级检索

Multi-domain Content Generation Using Advanced Machine Learning Techniques

  • Prajwal Urkude,
  • Divya Charde,
  • Shweta Pidurkar,
  • Manjiri Dhavtode,
  • Mrudula Gudadhe

摘要

Innovation has a new meaning in our project as it involves the integration of cutting-edge technologies and generative models, thus making our stack of Next.js, React.js, Prisma ORM, MySQL and more scalable and easier to use for web development. Creative tools using AI like GPT-3.5 speedster and DALL-E 2 are used to bring ideas quickly that go beyond what has been done before with artistic work or music. Our multimedia capabilities have improved with Zeroscope-v2-xl, while an Expressive AI system captures authentic character nuances. Pinecone is used for vector databases, while Redis is used for efficient caching in order to make Llama-2-13b model mimic different personalities quickly and offer memory retention that is fast and long-lasting.