与理想的归纳模型相比,GPT4可以恢复>=85%的规则,精度>=90%。 论文标题:Large Language Models can Learn Rules 论文链接:https://arxiv.org/abs/2310.07064
Large Language Models Can Self-Improve https://arxiv.org/abs/2210.11610 Evaluating Human-Language Model Interaction https://arxiv.org/abs/2212.09746 Large Language Models can Learn Rules https://arxiv.org/abs/2310.07064 AgentBench: Evaluating LLMs as Agents https://arxiv.org/abs/2308.03688 WebAr...
3. Learning From Failure: Integrating Negative Examples when Fine-tuning Large Language Models as Agents 4. Reason from Fallacy: Enhancing Large Language Models' Logical Reasoning through Logical Fallacy Understanding 5. Evaluating Mathematical Reasoning of Large Language Models: A Focus on Error Identifi...
A representative evaluation benchmark for MLLMs. ✨ 🔥🔥🔥Woodpecker: Hallucination Correction for Multimodal Large Language Models Paper|GitHub This is the first work to correct hallucination in multimodal large language models. ✨ 🔥🔥🔥Freeze-Omni: A Smart and Low Latency Speech-to-s...
struggled with natural language processing and complex or domain-specific tasks like those in the law, but with advancing capabilities of large language models—and GPT-4—you sought to demonstrate the potential in law. Can you talk about language models and how they have improved, specifically ...
In this video, Martin Keen briefly explains large language models, how they relate to foundation models, how they work and how they can be used to address various business problems. Proprietary LLMs are owned by a company and can only be used by customers that purchase a license. The licens...
New "large language models" (LLMs)—the sort that powers ChatGPT, a chatbot **made** by OpenAI—**have surprised** even their creators with their unexpected talents as they have been scaled up. ## 翻译 新型“大型语言模型”(LLM)——为聊天机器人ChatGPT提供支持的那种模型,由OpenAI**制造*...
Large language models are the backbone of generative AI, driving advancements in areas like content creation, language translation and conversational AI.
Learn what the GPT language model is in the context of other large language models and the evolution of generative AI capabilities.
Large language models like OpenAI's GPT-3 are massive neural networks that can generate human-like text, from poetry to programming code. Trained using troves of internet data, these machine-learning models take a small bit ...