Applying RLAIF for API-based code generation in lightweight LLMs
This article was accepted into the Natural Language Reasoning and Structured Explanations Workshop at ACL 2024. Reinforcement learning from ai ...
This article was accepted into the Natural Language Reasoning and Structured Explanations Workshop at ACL 2024. Reinforcement learning from ai ...
We introduce MIA-Bench, a new benchmark designed to evaluate large multimodal language models (MLLMs) on their ability to strictly adhere ...
Introduction This article covers the creation of a multilingual chatbot for multilingual areas like India, using large language models. The ...
In the contemporary landscape of scientific research, the transformative potential of ai has become increasingly evident. This is particularly true ...
Recent language models such as GPT-3+ have shown notable performance improvements by simply predicting the next word in a sequence, ...
Analogy from classical machine learning: LLM (Large Language Model) = optimizer; code = parameters; LangProp = PyTorch LightningYou have probably ...
In a major advancement for ai, Together ai has introduced an innovative Mix of Agents (MoA) approach, Together MoA. This ...
Temporal reasoning involves understanding and interpreting relationships between events over time, a crucial capability for intelligent systems. This field of ...
Now, let's get into the true meaning of this article. Analyzing matrices (Q, K, V, O) of the Llama-3–8B-Instruct model ...
Introduction Large language models (LLMs) have revolutionized natural language processing (NLP), enabling various applications, from conversational assistants to content generation ...