标题:Toolformer: Language Models Can Teach Themselves to Use Tools 链接:arxiv.org/pdf/2302.0476 广告 动手学深度学习 (一本书带你了解chatgpt,跟上AI发展 京东 ¥42.50 去购买 一、简介 大型语言模型在多个自然语言任务上展现出了令人印象深刻的 zero-shot 和 few-shot 效果(Brown等,2020;Chowdhery...
Each single query should combine API calls of different tools in various ways and include the necessary parameters. Note that you shouldn’t ask ‘which API to use’, rather, simply state your needs that can be addressed by these APIs. You should also avoid asking for the input parameters ...
messages.append(ChatMessage.from_user("Where's the coffee shop?")) # Invoke the chat generator, and passing the tools list response = chat_generator.run(messages=messages, generation_kwargs= {"tools": tools}) function_call = json.loads(response["replies"][0].content)[0] function_name =...
--use_gpt_attention_plugin float16\ --remove_input_padding\ --paged_kv_cache # Triton config.pbtxt 配置文件修改 # options.txt 文件可以按需修改,一般推荐使用默认值 OPTIONS=options.txt python3 tensorrtllm_backend/tools/fill_template.py -i${TRITON_REPO}/preprocessing/config.pbtxt${OPTIO...
LLM Agent能够基于大语言模型进行对话、完成任务、推理,并可以展示一定程度的自主行为。 根据需要,LLM Agent可以提供丰富的功能,下面是LLM Agent常见的功能: 利用LLM本身的语言能力理解指令、上下文和目标 利用Tools(工具套件,如计算器、API、搜索引擎等)来收集信息并采取行动完成分配的任务。
I will provide you with a student who needs help improving their writing and your task is to use artificial intelligence tools, such as natural language processing, to give the student feedback on how they can improve their composition. You should also use your rhetorical knowledge and ...
If you're going to use the LLM class, set: OPENAI_API_KEY=YOUR_OPENAI_KEY If you don't want us to send telemetry data (in theNode._init_(),LLM.execute()(including prompts and responses from OpenAI) andDAG.execute()methods, info about nodes you create or dags you run), to an ex...
{} \ bash -c"python env/megatron_lm/src/tools/preprocess_data.py --input {} \ --output-prefix datasets/{} \ --vocab-file gpt2-vocab.json \ --dataset-impl mmap \ --tokenizer-type GPT2BPETokenizer \ --merge-file gpt2-merges.txt \ --append-eod \ --workers 1 --chunk-size ...
Byzer-LLM 基于 Ray 技术构建,是一款覆盖大语言模型(LLM)完整生命周期的解决方案,包括预训练、微调、部署及推理服务等阶段。 Byzer-LLM 的独特之处在于: 版本记录 0.1.39:提升函数功能实现 / 更新 SaaS 开发者套件(SDK) / 集成 OpenAI 兼容 API 服务 ...
{} \ bash -c"python env/megatron_lm/src/tools/preprocess_data.py --input {} \ --output-prefix datasets/{} \ --vocab-file gpt2-vocab.json \ --dataset-impl mmap \ --tokenizer-type GPT2BPETokenizer \ --merge-file gpt2-merges.txt \ --append-eod \ --workers 1 --chunk-size ...