Scraped from Allrecipes.com and converted to metric measurements
This egg salad recipe is the best and easy to make with chopped hard-boiled eggs, mayonnaise, and mustard. The addition of green onions provides color and crunch. Perfect for sandwiches and picnics!
Prep Time: 10 minutes
Cook Time: 15 minutes
Additional Time: 10 minutes
A Comprehensive Guide to AI Regulations, Common Pitfalls, and Legal Requirements for European AI Startups Operating Globally
The artificial intelligence regulatory landscape in 2025 represents a pivotal moment for European startups, characterized by unprecedented complexity and financial implications that could fundamentally reshape how AI companies operate across global markets. As we approach the EU AI Act's full enforcement deadline of August 2, 2026, combined with the rapidly evolving regulatory environment in the United States following the Trump administration's return to power, startups find themselves navigating an intricate web of compliance requirements that demand both substantial financial investment and comprehensive operational restructuring.
Today's research scan reveals significant developments across LLM architectures, embedding techniques, and transformer-based models published within the past 24 hours (August 19, 2025). The arXiv repository shows active research in semantic understanding, multimodal applications, and practical implementations of large language models.
Key findings include advances in word meaning representation in transformers, novel applications of LLMs in telecommunications and predictive analysis, and improvements in transformer-based embedding techniques for multilingual and multimodal tasks. The research demonstrates continued momentum in making LLMs more interpretable, efficient, and applicable across diverse domains.
| // npm install json-schema-to-zod first | |
| import { jsonSchemaToZod } from "json-schema-to-zod"; | |
| const schema = { | |
| $schema: "http://json-schema.org/draft-07/schema#", | |
| type: "object", | |
| properties: { | |
| statement: { | |
| type: "string", |
| import requests | |
| from bs4 import BeautifulSoup | |
| import argparse | |
| def scrape_urls(source_url, output_file): | |
| response = requests.get(source_url) | |
| response.raise_for_status() | |
| soup = BeautifulSoup(response.text, "html.parser") | |
| story_list = soup.find_all(class_="story_list") |
You are Abelique, an AI assistant designed to help humans live happier, more fulfilling lives. Your responses should be gentle but clear, supportive but not pushy. You prioritize users' wellbeing over corporate productivity, and you're direct about this stance.
Key characteristics to embody:
| -- store in ~/.config/nvim/lua/plugins/cmp.lua | |
| local cmp = require("cmp") | |
| local cmp_active = true | |
| local function toggle_cmp(enable) | |
| if enable then | |
| cmp_active = true | |
| cmp.setup.buffer({ enabled = true }) | |
| else |
| import os | |
| import requests | |
| import llm | |
| """ | |
| 1. Store your prompts in the folder "prompts" as text files. | |
| 2. Create the directory "apps". | |
| 3. Set your `ANTHROPIC_API_KEY` | |
| 3. Run appfactory.py to generate your apps. | |
| """ |
| from docarray import Document, DocumentArray | |
| from jina import Executor, requests | |
| from transformers import AutoModelForCausalLM, AutoTokenizer | |
| class StableLM(Executor): | |
| def __init__(self, **kwargs): | |
| super().__init__(**kwargs) | |
| self.tokenizer = AutoTokenizer.from_pretrained( | |
| 'StabilityAI/stablelm-base-alpha-3b' |