Large language models are typically refined after pretraining using either supervised fine-tuning (SFT) or reinforcement fine-tuning (RFT), each with distinct…
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Semantic parsing converts natural language into formal query languages such as SQL or Cypher, allowing users to interact with databases…
No single solution universally wins between Large Language Models (LLMs, ≥30B parameters, often via APIs) and Small Language Models (SLMs,…
What is a Voice Agent? An AI voice agent is a software system that can…
Differential privacy (DP) stands as the gold standard for protecting user information in large-scale machine learning and data analytics. A…
LLMs have rapidly advanced with soaring parameter counts, widespread use of mixture-of-experts (MoE) designs, and massive context lengths. Models like…
Retrieval-Augmented Generation (RAG) has emerged as a cornerstone technique for enhancing Large Language Models (LLMs) with real-time, domain-specific knowledge. But…
Mary-Jane Rubenstein, a scholar of religion at Wesleyan University, presents a thorough diagnosis of this exact pathology in her 2022…
Building these models took a few months, but Pak says they were very quick at designing candidates for therapies once…
Google has introduced Mangle, a new open-source programming language that extends the classic logic-based language Datalog for modern deductive database…