LLM 2.0, RAG & Non-Standard Gen AI on GitHub

Vincent Granville discusses LLM 2.0, introducing innovative approaches to generative AI and LLM advancements. He highlights the limitations of traditional LLMs and presents new methodologies, including multi-tokens, knowledge graph tokens, and NoGAN for data synthesis. The post also covers his repository's open-source code, emphasizing its usefulness for enterprise applications with examples like the NVIDIA case study and xLLM built from the Wolfram corpus.