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Update README.md

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README.md CHANGED
@@ -52,23 +52,28 @@ ner_pipeline = pipeline("ner", model=model, tokenizer=tokenizer, device=device,
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  # Example job description text
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  text = """
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- Details
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  Responsibilities of the Intern:
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- Accurately enter and update data into the company's databases and systems.
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- Maintain and organize digital and physical records.
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- Assist in generating and compiling reports using data from various sources.
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- Perform data quality checks to ensure accuracy and completeness.
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- Support the team with other administrative tasks as needed.
 
 
 
 
 
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  Requirements:
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- Strong data entry skills with high accuracy and attention to detail.
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- Proficiency in Microsoft Excel and other data management tools.
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- Basic understanding of data analysis and reporting.
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- Excellent organizational and time-management skills.
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- Good communication skills, both written and verbal.
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- Ability to work independently and manage time effectively.
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- A proactive approach to problem-solving.
 
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  """
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  # Run inference
@@ -84,14 +89,25 @@ for ent in entities:
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  ```
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  Device set to use cpu
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  Asking to truncate to max_length but no maximum length is provided and the model has no predefined maximum length. Default to no truncation.
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- SKILL | detail | score=1.000
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- SKILL | Excel | score=1.000
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- SKILL | management | score=1.000
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- SKILL | data analysis | score=1.000
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- SKILL | reporting | score=1.000
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- SKILL | time | score=0.993
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- SKILL | management | score=1.000
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- SKILL | communication skills | score=1.000
 
 
 
 
 
 
 
 
 
 
 
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  ```
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  ---
 
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  # Example job description text
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  text = """
 
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  Responsibilities of the Intern:
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+ Design, develop, and implement AI agents for various applications.
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+ Train and fine-tune machine learning models using structured and unstructured datasets.
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+ Work with deep learning frameworks such as TensorFlow, PyTorch, and scikit-learn.
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+ Implement reinforcement learning techniques to enhance AI agent performance.
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+ Perform data preprocessing, augmentation, and feature engineering.
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+ Optimize model performance through hyperparameter tuning and algorithm optimization.
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+ Integrate AI solutions into real-world applications and assist in deployment.
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+ Collaborate with data scientists, software engineers, and business teams to understand requirements and deliver AI-driven solutions.
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+ Conduct research and stay updated with the latest trends and advancements in AI and ML.
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+ Document research findings, methodologies, and results effectively.
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  Requirements:
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+ Strong programming skills in Python (knowledge of C++/Java is a plus).
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+ Experience with machine learning frameworks like TensorFlow, PyTorch, or Keras.
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+ Understanding of deep learning, natural language processing (NLP), and computer vision techniques.
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+ Familiarity with reinforcement learning concepts and their applications.
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+ Knowledge of data preprocessing, feature engineering, and model evaluation techniques.
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+ Experience working with large datasets and cloud computing platforms (AWS, Google Cloud, or Azure) is a plus.
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+ Strong problem-solving skills and the ability to work in a collaborative team environment.
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+ Excellent communication and documentation skills.
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  """
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  # Run inference
 
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  ```
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  Device set to use cpu
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  Asking to truncate to max_length but no maximum length is provided and the model has no predefined maximum length. Default to no truncation.
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+ SKILL | machine learning | score=1.000
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+ SKILL | learning | score=1.000
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+ SKILL | learn | score=0.758
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+ SKILL | learning techniques | score=0.769
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+ DISCIPLINE | engineering | score=1.000
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+ COURSE | data scientists | score=0.954
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+ SKILL | research | score=1.000
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+ SKILL | ML | score=0.997
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+ SKILL | research findings | score=1.000
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+ SKILL | results | score=0.960
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+ SKILL | programming | score=1.000
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+ SKILL | Python | score=0.599
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+ SKILL | machine learning | score=1.000
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+ SKILL | learning | score=1.000
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+ SKILL | learning | score=1.000
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+ DISCIPLINE | engineering | score=1.000
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+ SKILL | collaborative | score=0.900
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+ SKILL | communication | score=1.000
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+ SKILL | documentation skills | score=0.983
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  ```
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  ---