让我们通过一个与ChatGPT交互的Python脚本来探索使用EXPLAIN DRAWBACKS指令的实际例子。 import openai # Set your API key here openai.api_key = 'YOUR_API_KEY' def generate_chat_response(prompt): response = openai.Completion.create( engine="text-davinci-003", prompt=prompt, max_tokens=100, temperat...
Even though I’ve worked with the OpenAI API, GPT, langchain, and vector databases, I still took a lot away from this post. Very well-crafted description of how all the constituent pieces of an LLM come together. Jim 6 Jan 24 at 08:38 This is an excellent and simplistic explanation...
豆包大模型定价每千tokens不到一分钱 AI Fugaku-LLM/DeepSpeedFugaku GitHubLLMAI 12款好用的高效率AI工具 AIAI工具 ChatGLM-6B: An Open Bilingual Dialogue Language Model | 开源双语对话语言模型 AIGitHub DuckDuckGo AI Chat 一种私密人工智能驱动型聊天服务,目前支持 OpenAI 的 GPT-3.5 和 Anthropic 的 Claude...
Devoxx Genie is a fully Java-based LLM Code Assistant plugin for IntelliJ IDEA, designed to integrate with local LLM providers such as Ollama, LMStudio, GPT4All, Llama.cpp and Exo but also cloud based LLM's such as OpenAI, Anthropic, Mistral, Groq, Gemini and DeepInfra. We now also ...
代码/ APIGPT-4 (OpenAI)Mixtral MoE 8x7B Instruct (Fireworks) from openai import OpenAI client = OpenAI () response = client.chat.completions.create ( model="gpt-4", messages=[ { "role": "user", "content": "抗生素是一种用于治疗细菌感染的药物。它们通过杀死细菌或阻止细菌繁殖来工作,使...