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Anti-hype LLM reading list

Goals: Add links that are reasonable and good explanations of how stuff works. No hype and no vendor content if possible. Practical first-hand accounts and experience preferred (super rare at this point).

My own notes from a few months back.

	import os
	import base64
	import streamlit as st
	from mistralai import Mistral
	from PIL import Image
	import io
	from dotenv import load_dotenv

	# 加载 .env 文件
	load_dotenv()

	import os
	import base64
	import streamlit as st
	from openai import OpenAI

	# 设置环境变量和OpenAI客户端
	token = os.environ["GITHUB_TOKEN"]
	endpoint = "https://models.inference.ai.azure.com"
	model_name = st.sidebar.selectbox("选择模型:", ["gpt-4o", "gpt-4o-mini"])

nicekate nicekate

Anti-hype LLM reading list

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