Opportunities for retrieval and tool augmented large language models in scientific facilitiesLANGUAGE modelsSCIENTIFIC apparatus & instrumentsINFORMATION needsLIGHT sourcesSOFTWARE development toolsUpgrades to advanced scientific user facilities such as next-generation x-ray light sources, nanoscience centers, and...
Toolformer TALM: Tool Augmented Language Models Toolformer: Language Models Can Teach Themselves to Use Tools 填充式工具使用 + InContext制造自监督样本 Toolformer是工具调用领域的前辈,使用LM监督微调得到可以进行Inline工具调用的模型。解码时,模型会在恰当的位置生成API调用的请求,并中止解码,去调用API得到返回...
Toolformer TALM: Tool Augmented Language Models Toolformer: Language Models Can Teach Themselves to Use Tools 填充式工具使用 + InContext制造自监督样本 Toolformer是工具调用领域的前辈,使用LM监督微调得到可以进行Inline工具调用的模型。解码时,模型会在恰当的位置生成API调用的请求,并中止解码,去调用API得到返回...
TALM: Tool Augmented Language Models Toolformer: Language Models Can Teach Themselves to Use Tools 填充式工具使用 + InContext制造自监督样本 Toolformer是工具调用领域的前辈,使用LM监督微调得到可以进行Inline工具调用的模型。解码时,模型会在恰当的位置生成API调用的请求,并中止解码,去调用API得到返回值,把返回...
An open-source tool-augmented conversational language model from Fudan University txsun1997.github.io/blogs/moss.html Topics natural-language-processing deep-learning text-generation dialogue-systems large-language-models chatgpt Resources Readme License Apache-2.0, AGPL-3.0 licenses found Activity...
We present ToolTalk, a new benchmark for evaluating tool-augmented LLMs in a conversational setting. Our benchmark emphasizes complex orchestration of multiple tools in a conversational setting. We provide simulated implementations of all tools, allowing for a fully automated evaluation where the LLM ...
ToolLLM (Qin et al., 2023).ToolLLM is an in-context learning approach to tool-augmented language models. It utilizes an instruction-tuned LLaMA-7B model (Touvron et al., 2023) to use tools. Given the natural language instruction of a tool-dependent task, an API retriever...
TALM: Tool Augmented Language Models Toolformer: Language Models Can Teach Themselves to Use Tools 填充式工具使用 + InContext制造自监督样本Toolformer是工具调用领域的前辈,使用LM监督微调得到可以进行Inline工具调用的模型。解码时,模型会在恰当的位置生成API调用的请求,并中止解码,去调用API得到返回值,把返回...
Paper tables with annotated results for Can Tool-augmented Large Language Models be Aware of Incomplete Conditions?
We present RCAgent, a tool-augmented LLM autonomous agent framework for practical and privacy-aware industrial RCA usage. Running on an internally deployed model rather than GPT families, RCAgent is capable of free-form data collection and comprehensive analysis with tools. Our framework combines a...