Dataset

from sentence_transformers import util def search(question, ok=5): q = mannequin.encode([query], normalize_embeddings=True) sims = util.cos_sim(q, emb)[0].cpu().numpy() idx = sims.argsort()[::-1][:k] print(f’n=== Question: “{question}” ===’) for rank, …

On this tutorial, lambda/hermes-agent-reasoning-traces dataset Perceive how agent-based fashions suppose, use instruments, and generate responses throughout multi-turn conversations. First, load and examine the dataset, …