Agentic Neural Networks: Self-Evolving Multi-Agent Systems Through Textual Backpropagation The landscape of artificial intelligence is rapidly evolving as researchers explore new ways to harness the collaborative power of multiple Large Language Models (LLMs). A groundbreaking paper from Lu... artificial intelligence LLMs multi-agent systems neural networks optimization textual backpropagation
Promptomatix Automates and Democratizes Prompt Engineering for LLMs As large language models (LLMs) become central to artificial intelligence, the challenge of crafting effective prompts remains a major hurdle. Manual prompt engineering is often slow, resource-intensi... accessibility AI frameworks automation cost optimization LLMs prompt engineering synthetic data
MUVERA Multi-Vector Information Retrieval The world of information retrieval has long grappled with the complexity and computational demands of multi-vector models. MUVERA, a groundbreaking algorithm, is changing the game by converting these ... FDE information retrieval LLMs MIPS multi-vector MUVERA neural embeddings product quantization