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Got it! I'll look for women's ski jackets available in Ireland that are size small, warm, and within your budget of €150. I'll prioritize multi-color options and slightly longer designs that cover your bum. I'll get back to you soon with some recommendations.

Women’s Ski Jackets (Size Small) Under €150 in Ireland

Based on your criteria – size Small, budget up to €150, warmth, waterproofness & breathability, and a slightly longer cut (covers the bum) with a preference for multi-color – here are several highly-rated women’s ski jackets available for purchase in Ireland. Each option offers solid insulation and weather protection for skiing conditions, and each is available in size Small within your budget. Key details (material, insulation type, waterproof rating, features) and purchase links are included:

1. Mountain Warehouse “Altitude Extreme” RECCO Ski Jacket (Women’s)

• Price & Availability: ~€130 (about £129) when not on sale ([Best women’s ski jackets 2024, tried

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Market Analysis: Adult German Learners in the EU and USA (2014–2024)

Market Size and Modality (Online vs. In-Person)

Overall Scale: The German language learning market is substantial. Globally, an estimated 15.4 million people were learning German as a foreign language in formal settings as of 2020 (15.4 million people are learning German – DW – 06/04/2020) Europe accounts for the majority: around 11.2 million German learners in Europe (formal education and courses) according to a 2020 survey (German as a foreign language: Growing numbers learning German in Africa and Asia - Federal Foreign Office ) The United States has a much smaller German-learning popula

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Here's the data formatted as a markdown table:

Tool/Library	Violation Handling	Code Example - Initialization	Code Example - Usage/Calling	How the Guardrail is Used
AWS Bedrock Guardrails	Exceptions, warnings, output modification	bedrock_client.create_guardrail(name='my_guardrail', ...)	response = client.invoke_model_with_guardrail(modelId='anthropic.claude-v2', guardrailId='my_guardrail_id', ...)	Applied to both user inputs and model outputs during inference. Can be used to filter harmful content, block denied topics, redact PII, and filter words.
Nvidia Nemo Guardrails	Reject input, alter input, execute actions, reject output, alter output	config = RailsConfig.from_path("path/to/config")	app = LLMRails(config) new_message = app.generate(messages=[{ "role": "user", "content": "Hello! What can you do for me?" }])	Uses Colang to define flows and a

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Tool/Library	Guardrail Definition	Guardrail Application	Supported Types	Violation Handling	Open Source?	Code Example
AWS Bedrock Guardrails	Rules, constraints, policies	Training, inference	Safety, security, fairness, privacy	Exceptions, warnings, output modification	No	bedrock_client.create_guardrail(name='my_guardrail', ...)
Nvidia Nemo Guardrails	Colang flows	Training, inference	Input, dialog, output, retrieval, execution	Reject input, alter input, execute actions, reject output, alter output	Yes	config = RailsConfig.from_path("path/to/config")
Guardrails Python library	RAIL specifications	Inference	Semantic validation, type enforcement	Corrective actions, re-prompting	Yes	guard = gd.Guard.from_rail_string(rail_str)
LangChain	Integrates with Guardrails Python library	Inference	Content moderation, data privacy, b

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<TITLE>

Problem Statement

Requirements

Functional Requirements

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import base64
from openai import OpenAI
import weave
import wave


client = OpenAI()
weave.init("audio-in-weave")

@weave.op()

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run = wandb.init(
    settings={
        "_disable_stats": True,  # disable collecting system metrics
        "_disable_meta": True,  # disable collecting system metadata (including hardware info)
        "console": "off",  # disable capturing stdout/stderr
    }
)

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# From Unsloth Llama 3.1 fine-tuning notebook

from unsloth import FastLanguageModel
import torch

def print_gpu_stats():
  gpu_stats = torch.cuda.get_device_properties(0)
  start_gpu_memory = round(torch.cuda.max_memory_reserved() / 1024 / 1024 / 1024, 3)
  max_memory = round(gpu_stats.total_memory / 1024 / 1024 / 1024, 3)
  print(f"GPU = {gpu_stats.name}. Max memory = {max_memory} GB.")

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celebrities = [
"Tom Cruise",
"Leonardo DiCaprio",
"Brad Pitt",
"Jennifer Lawrence",
"Scarlett Johansson",
"Johnny Depp",
"Meryl Streep",
"Robert De Niro",
"Tom Hanks",

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#!/bin/bash

# Download the Miniforge installer
wget https://github.com/conda-forge/miniforge/releases/latest/download/Miniforge3-Linux-x86_64.sh

# Run the Miniforge installer
bash Miniforge3-Linux-x86_64.sh

# Install mamba in the base environment using conda
conda install mamba -n base -c conda-forge