【DeepSeek-V2】Llama3を完全に超えた？コスパ最強オープンソースLLM

import torch
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig

model_name = "deepseek-ai/DeepSeek-V2-Chat"
tokenizer = AutoTokenizer.from_pretrained(model_name, trust_remote_code=True)
<em># `max_memory` should be set based on your devices</em>
max_memory = {i: "75GB" for i in range(8)}
model = AutoModelForCausalLM.from_pretrained(model_name, trust_remote_code=True, device_map="auto", torch_dtype=torch.bfloat16, max_memory=max_memory)
model.generation_config = GenerationConfig.from_pretrained(model_name)
model.generation_config.pad_token_id = model.generation_config.eos_token_id

messages = [
    {"role": "user", "content": "Write a piece of quicksort code in C++"}
]
input_tensor = tokenizer.apply_chat_template(messages, add_generation_prompt=True, return_tensors="pt")
outputs = model.generate(input_tensor.to(model.device), max_new_tokens=100)

result = tokenizer.decode(outputs[0][input_tensor.shape[1]:], skip_special_tokens=True)
print(result)

from transformers import AutoTokenizer
from vllm import LLM, SamplingParams

max_model_len, tp_size = 8192, 8
model_name = "deepseek-ai/DeepSeek-V2-Chat"
tokenizer = AutoTokenizer.from_pretrained(model_name)
llm = LLM(model=model_name, tensor_parallel_size=tp_size, max_model_len=max_model_len, trust_remote_code=True, enforce_eager=True)
sampling_params = SamplingParams(temperature=0.3, max_tokens=256, stop_token_ids=[tokenizer.eos_token_id])

messages_list = [
    [{"role": "user", "content": "Who are you?"}],
    [{"role": "user", "content": "Translate the following content into Chinese directly: DeepSeek-V2 adopts innovative architectures to guarantee economical training and efficient inference."}],
    [{"role": "user", "content": "Write a piece of quicksort code in C++."}],
]

prompt_token_ids = [tokenizer.apply_chat_template(messages, add_generation_prompt=True) for messages in messages_list]

outputs = llm.generate(prompt_token_ids=prompt_token_ids, sampling_params=sampling_params)

generated_text = [output.outputs[0].text for output in outputs]
print(generated_text)

Write the code for regression analysis.

Sure, here is a simple example of a linear regression analysis using Python's `scikit-learn` library:

```python
from sklearn.model_selection import train_test_split
from sklearn.linear_model import LinearRegression
from sklearn.metrics import mean_squared_error
import numpy as np

# Assume we have a dataset with two columns: 'feature' and 'target'
# Load your data
# data = ...

# Split the data into training and testing sets
X_train, X_test, y_train, y_test = train_test_split(data['feature'], data['target'], test_size=0.2, random_state=42)

# Create a linear regression model
model = LinearRegression()

# Train the model
model.fit(X_train, y_train)

# Make predictions
predictions = model.predict(X_test)

# Evaluate the model
mse = mean_squared_error(y_test, predictions)
print(f'Mean Squared Error: {mse}')
```

This is a very basic example. In a real-world scenario, you would need to preprocess your data, handle missing values, possibly perform feature engineering, and tune your model. Also, this is a simple linear regression model. Depending on your data, you might need to use a different type of regression model, such as polynomial regression, ridge regression, lasso regression, etc.

Create a ping pong game

Creating a ping pong game involves a lot of programming and game design. Here's a simple example of how you might start to create a ping pong game using Python and the Pygame library:

```python
import pygame
import sys

# Initialize Pygame
pygame.init()

# Set up some constants
WIDTH, HEIGHT = 800, 600
BALL_RADIUS = 10
PADDLE_WIDTH, PADDLE_HEIGHT = 20, 100
PADDLE_SPEED = 5

# Set up the display
screen = pygame.display.set_mode((WIDTH, HEIGHT))

# Set up the ball
ball_pos = [WIDTH // 2, HEIGHT // 2]
ball_vel = [4, 4]

# Set up the paddles
paddle1_pos = [0, (HEIGHT - PADDLE_HEIGHT) // 2]
paddle2_pos = [WIDTH - PADDLE_WIDTH, (HEIGHT - PADDLE_HEIGHT) // 2]

# Game loop
while True:
    # Event handling
    for event in pygame.event.get():
        if event.type == pygame.QUIT:
            pygame.quit()
            sys.exit()

    # Ball movement
    ball_pos[0] += ball_vel[0]
    ball_pos[1] += ball_vel[1]

    # Ball collision with walls
    if ball_pos[0] - BALL_RADIUS <= 0 or ball_pos[0] + BALL_RADIUS >= WIDTH:
        ball_vel[0] = -ball_vel[0]
    if ball_pos[1] - BALL_RADIUS <= 0 or ball_pos[1] + BALL_RADIUS >= HEIGHT:
        ball_vel[1] = -ball_vel[1]

    # Paddle movement
    keys = pygame.key.get_pressed()
    if keys[pygame.K_w]:
        paddle1_pos[1] -= PADDLE_SPEED
    if keys[pygame.K_s]:
        paddle1_pos[1] += PADDLE_SPEED
    if keys[pygame.K_UP]:
        paddle2_pos[1] -= PADDLE_SPEED
    if keys[pygame.K_DOWN]:
        paddle2_pos[1] += PADDLE_SPEED

    # Draw everything
    screen.fill((0, 0, 0))
    pygame.draw.circle(screen, (255, 255, 255), ball_pos, BALL_RADIUS)
    pygame.draw.rect(screen, (255, 255, 255), (paddle1_pos[0], paddle1_pos[1], PADDLE_WIDTH, PADDLE_HEIGHT))
    pygame.draw.rect(screen, (255, 255, 255), (paddle2_pos[0], paddle2_pos[1], PADDLE_WIDTH, PADDLE_HEIGHT))

    # Update the display
    pygame.display.flip()

    # Cap the frame rate
    pygame.time.Clock().tick(60)
```

This is a very basic version of a ping pong game. It doesn't include scoring, AI for the second paddle, or many other features you might want in a complete game. But it should give you a starting point for creating your own game.

Let's create a simple text-based version of a ping pong game that you can play in the console! In this version, you'll be able to "serve" the ball and the computer will "return" it until one player fails to return, which counts as a point for the other player. 

Here's a basic outline of the game:

1. Each player takes turns serving the ball.
2. After a serve, a random outcome determines if the opponent returns the ball or misses.
3. The first player to reach a predetermined number of points wins.

Let's get started with the Python code for this game:

```python
import random

def play_ping_pong():
    player_score = 0
    computer_score = 0
    rounds = 5  # Number of points required to win the game

    while player_score < rounds and computer_score < rounds:
        # Player serves the ball
        input("Press Enter to serve the ball...")
        if random.choice([True, False]):
            print("Computer returns the ball!")
        else:
            print("Computer misses!")
            player_score += 1
            print(f"Score: You {player_score} - Computer {computer_score}")
            continue

        # Computer serves the ball
        print("Computer serves the ball...")
        if random.choice([True, False]):
            print("You return the ball!")
        else:
            print("You miss!")
            computer_score += 1
            print(f"Score: You {player_score} - Computer {computer_score}")

    if player_score > computer_score:
        print("You win!")
    else:
        print("Computer wins!")

# To play the game, call play_ping_pong()
```

You can run this script in a Python environment. It will allow you to interact with the game using the console, simulating a ping pong match where each "serve" and "return" is determined randomly. To start playing, you would call `play_ping_pong()` after defining the function.

Let's create a simple text-based ping pong game. Here's how we can play:
**The Game**
You will play as "Player A" and I'll play as "Player B". The game will take place on a standard ping pong table. The goal is to hit the ball back and forth until one of us fails to return it.
**The Rules**
1. I'll start by serving the ball.
2. You'll respond with one of the following actions:
* `hit`: Hit the ball back to me.
* `left`: Hit the ball to my left side.
* `right`: Hit the ball to my right side.
3. Based on your action, I'll respond with the outcome of the shot.
4. We'll keep playing until one of us fails to return the ball or makes an error.
Ready to start? Here's the serve:
**The Ball is Served**
The ball is coming towards you with moderate speed and spin. It's heading straight down the middle of the table.
What do you do?
Type `hit`, `left`, or `right` to respond.

Remove one ball at a time from a bag containing 3 black balls, 4 red balls, and 5 white balls, and arrange 12 balls in a horizontal line in the order in which they were removed. However, the probability that an individual ball is removed from the bag is assumed to be equal.

(1) Find the probability p that none of the red balls are adjacent to each other.

To find the probability p that none of the red balls are adjacent to each other, we can first calculate the total number of ways to arrange the 12 balls and then find the number of ways to arrange the balls such that no red balls are adjacent to each other.

Total number of ways to arrange the 12 balls:
There are 3 black balls, 4 red balls, and 5 white balls, so the total number of ways to arrange them is:
(12!)/(3! * 4! * 5!) = 27,720

Now, let's find the number of ways to arrange the balls such that no red balls are adjacent to each other. We can think of the white and black balls as "separators" for the red balls. There are 8 positions (5 white balls + 3 black balls) that can be occupied by the red balls. We need to place the 4 red balls in such a way that they don't touch each other. This can be done using the "stars and bars" method:

Number of ways to arrange the red balls without touching each other:
(8!)/(4! * (8-4)!) = 70

Now, we need to arrange the black and white balls around the red balls. There are 3 black balls and 5 white balls, so the number of ways to arrange them is:
(8!)/(3! * 5!) = 56

Multiplying the number of ways to arrange the red balls without touching each other and the number of ways to arrange the black and white balls, we get:
70 * 56 = 3,920

Finally, the probability p that none of the red balls are adjacent to each other is:
p = (Number of ways to arrange the balls without red balls touching each other) / (Total number of ways to arrange the balls)
p = 3,920 / 27,720
p = 14 / 99

So, the probability p is 14/99.

To solve this problem, we will calculate the probability \( p \) that none of the red balls (which are 4 in total) are adjacent to each other when the 12 balls (3 black, 4 red, and 5 white) are arranged in a horizontal line.

We will approach this problem by first calculating the total number of ways to arrange the 12 balls, and then the number of favorable arrangements where no two red balls are adjacent.

1. **Total number of ways to arrange 12 balls**:
   Given that there are 3 black balls, 4 red balls, and 5 white balls, the total number of ways to arrange these balls is given by the multinomial coefficient:
   \[
   \frac{12!}{3! \times 4! \times 5!}
   \]

2. **Number of ways to arrange balls so that no two red balls are adjacent**:
   To find the number of favorable arrangements, we can think about placing the non-red balls first and then inserting the red balls in the gaps between them.

   - Arrange the 3 black and 5 white balls in any order. The total number of ways to do this is:
     \[
     \frac{8!}{3! \times 5!}
     \]
   - Once these 8 balls are placed, there will be 9 possible "gaps" to place the red balls (including the positions at the beginning and the end of the line). We need to choose 4 of these gaps to place the red balls, and this can be done in:
     \[
     \binom{9}{4}
     \]
   - Each choice corresponds to placing one red ball in each selected gap, ensuring that no two red balls are adjacent.

3. **Calculate the probability \( p \)**:
   The probability \( p \) that none of the red balls are adjacent is the ratio of the favorable arrangements to the total arrangements:
   \[
   p = \frac{\left(\frac{8!}{3! \times 5!}\right) \times \binom{9}{4}}{\frac{12!}{3! \times 4! \times 5!}}
   \]
   Simplifying this expression:
   \[
   p = \frac{8! \times \binom{9}{4}}{12! / (3! \times 4!)}
   \]

Let's calculate the probability \( p \) using this formula.

The probability \( p \) that none of the red balls are adjacent to each other when arranging 3 black balls, 4 red balls, and 5 white balls in a horizontal line is approximately 0.2545, or 25.45%.

Let's break this problem down step by step.
Since there are 12 balls in total, we need to find the total number of ways to arrange them in a horizontal line. This is a permutation problem, and the total number of arrangements is:
12! / (3! \* 4! \* 5!) = 34,650
Now, let's count the number of arrangements where no two red balls are adjacent to each other. We can think of this as inserting the red balls into gaps between the black and white balls.
There are 4 red balls, and we need to find the number of ways to insert them into the gaps. Let's create a diagram to visualize this:
_ B _ B _ B _ (3 black balls)
_ W _ W _ W _ W _ (5 white balls)
We have 8 gaps (including the ends) where we can insert the red balls. We need to choose 4 gaps out of 8 to insert the red balls, which can be done in:
C(8, 4) = 70
ways. Once we've chosen the gaps, we can permute the red balls in 4! ways. Therefore, the total number of arrangements where no two red balls are adjacent is:
70 \* 4! = 1680
Finally, we can find the probability p that none of the red balls are adjacent to each other:
p = (number of favorable arrangements) / (total number of arrangements)
= 1680 / 34,650
= 5/108
So, the probability that none of the red balls are adjacent to each other is 5/108.

企業の評判管理と消費者信頼の維持は、企業の持続可能な成長に不可欠です。以下の戦略を提案いたします。

1. 労働者の権利に関する問題の解決:
   - 労働者の権利に関する批判を受け入れ、迅速かつ透明性の高い方法で問題を解決する。
   - 労働者の労働条件、賃金、福利厚生などを改善し、労働者の満足度を向上させる。
   - 労働者とのコミュニケーションを促進し、労働者の意見や懸念を積極的に聞く。

2. 社会的責任の実践:
   - 企業の社会的責任（CSR）活動を強化し、労働者の権利保護や環境保護に取り組む。
   - 持続可能なビジネスモデルを推進し、環境に優しい素材の使用を拡大する。
   - 社会的貢献活動を通じて、企業の社会的イメージを向上させる。

3. 透明性の高いコミュニケーション:
   - 企業の政策や行動に関する情報を消費者に迅速かつ透明性の高い方法で提供する。
   - 労働者の権利保護や環境保護に取り組む姿勢を積極的に宣伝し、消費者の理解を得る。
   - ソーシャルメディアや公式ウェブサイトを活用し、企業の取り組みをリアルタイムで共有する。

4. 消費者との対話:
   - 消費者からのフィードバックを重視し、意見や提案を積極的に受け入れる。
   - 消費者とのコミュニケーションループを構築し、企業の政策や製品に関する意見を収集する。
   - 消費者の信頼を築くために、企業の目標や価値観を消費者と共有する。

5. 品質管理と革新:
   - 製品の品質を維持し、消費者の期待に応える。
   - 新しい技術や素材を活用し、製品の革新を続ける。
   - 消費者のニーズや市場の変化に応じて、製品ラインナップを拡大する。

これらの戦略を実行することで、企業は労働者の権利に関する批判に対処し、消費者の信頼を維持し、評判を向上させることができます。

企業が新しい技術革新で市場の地位を強化し、環境に優しい素材を使用することで消費者の関心を集めている一方で、労働者の権利に関する問題で批判に直面している場合、次のような戦略を採用することが効果的です：

1. **透明性の向上**：
   - 労働慣行に関する問題を公然と認め、改善のための具体的な計画を公表します。例えば、独立した監査を定期的に行い、その結果を公開することで、透明性を確保し、消費者と投資家の信頼を回復します。

2. **労働条件の改善**：
   - 労働者の権利保護を強化するため、適切な賃金、健康と安全の基準の向上、労働時間の合理化を図ります。また、従業員の声を聞くためのフォーラムや、不満を申し立てるための安全なチャネルを設置することが重要です。

3. **持続可能性と社会的責任の統合**：
   - 環境に優しいイニシアティブだけでなく、社会的責任も企業戦略の中心に置きます。地域社会とのパートナーシップを強化し、地域社会への投資を増やすことで、企業の社会的責任を実践します。

4. **コミュニケーション戦略の見直し**：
   - 効果的なコミュニケーション戦略を通じて、企業の取り組みと成果を定期的に報告します。消費者への直接的なコミュニケーションを強化し、ソーシャルメディアやPR活動を活用して、ポジティブなメッセージを発信します。

5. **ステークホルダーとの対話**：
   - 消費者、投資家、地域社会のリーダー、NGOなど、幅広いステークホルダーと定期的に対話を持ち、彼らの意見や懸念を企業活動に反映させます。これにより、ステークホルダーの支持を得られるだけでなく、潜在的な問題に迅速に対応できます。

6. **教育と訓練の強化**：
   - 従業員に対する教育と訓練を強化し、労働権利についての認識を高めることで、内部からの改善を促します。また、リーダーシップ開発を通じて、倫理的な決定を下す能力を育成します。

これらの戦略を組み合わせることで、企業は環境保護への取り組みを続けながら、労働者の権利問題にも積極的に対応し、長期的な信頼と評価を確保することができるでしょう。

To manage the company's reputation and maintain consumer trust in the face of criticism regarding labor rights, I propose the following strategy:
**Short-term (Immediate Response)**
1. **Acknowledge and Apologize**: Issue a public statement acknowledging the concerns about labor rights and apologize for any wrongdoing.
2. **Investigate and Address**: Conduct an internal investigation to identify the root causes of the issue and take immediate action to address them.
3. **Transparency**: Provide regular updates on the progress made to address the labor rights concerns.
**Mid-term (Reputation Recovery)**
1. **Stakeholder Engagement**: Engage with stakeholders, including labor unions, NGOs, and industry experts, to understand their concerns and gather feedback.
2. **Develop a Labor Rights Policy**: Create a comprehensive labor rights policy that outlines the company's commitment to protecting workers' rights.
3. **Independent Audit**: Conduct an independent audit to ensure compliance with labor laws and international standards.
4. **Employee Engagement**: Engage with employees to understand their concerns and provide training on labor rights and responsibilities.
**Long-term (Sustainability and Trust Building)**
1. **Integrate Labor Rights into Sustainability Strategy**: Incorporate labor rights into the company's overall sustainability strategy and reporting.
2. **Supply Chain Transparency**: Implement a transparent supply chain management system to ensure that labor rights are respected throughout the entire value chain.
3. **Industry Collaboration**: Collaborate with industry peers and associations to promote best practices in labor rights and share knowledge.
4. **Continuous Monitoring and Improvement**: Regularly monitor and assess labor rights practices and implement improvements to maintain transparency and accountability.
**Communication Strategy**
1. **Authentic and Transparent Communication**: Communicate the company's commitment to labor rights and sustainability in an authentic and transparent manner.
2. **Multi-Channel Approach**: Utilize various communication channels, including social media, website, and traditional media, to reach a wider audience.
3. **Employee Ambassadors**: Empower employees to become ambassadors of the company's labor rights and sustainability initiatives.
4. **Regular Progress Updates**: Provide regular updates on the company's progress in addressing labor rights concerns and implementing sustainability initiatives.
By implementing this strategy, the company can effectively manage its reputation, maintain consumer trust, and demonstrate its commitment to labor rights and sustainability.